What works and what fails in running an AI-first business https://www.ai-first.company/feed.xml 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/ https://www.ai-first.company/practices/ask-ai-vendors-for-proof/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Do not take an AI vendor’s accuracy figure or “fully compliant” promise on trust. Ask how it was tested and on what, run a small test on your own material, and check the terms on your data and on leaving.

https://www.ai-first.company/practices/assess-readiness-from-several-sources/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A readiness check filled in by one senior person reflects that person’s view. Ask staff and managers as well, and compare the answers with what you can observe.

https://www.ai-first.company/practices/budget-for-the-work-ai-creates/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

AI removes some work and adds other work: checking its output, keeping records, handling exceptions and looking after the tools. Count that work and give it an owner before you count the saving.

https://www.ai-first.company/practices/check-ai-advice-before-you-act-on-it/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

When you use an AI tool as an adviser, check its advice on money, tax and law against a reliable source or a professional before you act. In a small firm, nobody else will catch a wrong answer.

https://www.ai-first.company/practices/check-what-staff-can-still-do-without-the-tool/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

On a sample of cases, have people do the work without the AI and compare the result with their usual work. Start with the people who check AI output and the people still learning the job, and set the tools that learners use to give hints, not answers.

https://www.ai-first.company/practices/claim-only-what-your-ai-has-been-tested-to-do/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

If you tell customers that your product or service uses AI, or how well it works, hold the evidence before you say it. Regulators treat “AI-powered” and “98% accurate” as factual claims like any other.

https://www.ai-first.company/practices/decide-what-data-goes-into-which-ai-tools/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Sort your data into two or three groups and say which AI tools each group may go into. Client secrets and personal data stay out of public tools. Where a mistake would be serious, block the upload instead of relying on a rule.

https://www.ai-first.company/practices/do-not-treat-a-maturity-score-as-a-forecast/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An AI maturity or readiness score describes where you say you stand. Evidence that a higher score leads to better results is thin and disputed. Use it to start a discussion, not to predict returns.

https://www.ai-first.company/practices/check-human-plus-ai-by-task-type/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Do not assume that adding a person to AI, or AI to a person, gives the best result. Test it for each type of task before you settle the process.

https://www.ai-first.company/practices/give-ai-assistance-to-newer-staff-first/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

When you roll out an AI assistant for a well-defined task, start with your less experienced people. Studies find they gain the most.

https://www.ai-first.company/practices/keep-a-person-checking-what-goes-out/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Before AI output leaves the company or is relied on in a decision, a named person checks it against real sources and signs it off. Make the check a step in the process, with time allowed for it.

https://www.ai-first.company/practices/keep-entry-level-learning-tasks/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Before you automate routine work, check whether it is how juniors learn the job. If it is, keep some of it for them, or replace the learning another way.

https://www.ai-first.company/practices/know-the-rules-that-apply-to-your-ai-use/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Most of the rules that bind your use of AI are not AI laws. You answer for what your AI says and does under the consumer, privacy, advertising and professional rules you already follow. List your AI uses and match each to its rules.

https://www.ai-first.company/practices/make-the-ai-show-what-its-answer-is-based-on/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A score or an estimate with no reason attached is hard to judge. Choose and set up AI tools so that each answer comes with what it rests on: the marked part of the image, the similar past cases, the passage in the document.

https://www.ai-first.company/practices/map-tasks-before-automating/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Break jobs into tasks and look at each one. Published scores rate how much of a job AI could do, its “exposure”. Treat a high score as a place to look, not as a decision to automate.

https://www.ai-first.company/practices/measure-time-saved-against-a-baseline/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Record how long a task takes and how good the result is before you add AI. Without that starting figure you cannot tell a real gain from a hopeful one.

https://www.ai-first.company/practices/name-one-accountable-ai-owner/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Give one named senior person the responsibility for AI: priorities, budget, risk and results. Shared responsibility tends to mean nobody decides.

https://www.ai-first.company/practices/protect-psychological-safety-during-rollout/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

AI projects can make staff afraid to speak up and unwilling to share what they know. Say early what AI means for jobs, and consult the people affected.

https://www.ai-first.company/practices/put-your-records-in-order-before-ai-predicts-from-them/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An AI that estimates a price, a time or a next step learns from your past jobs and customers. Get those records complete, consistent and in one place first. In the cases here, that was most of the work.

https://www.ai-first.company/practices/redesign-the-workflow/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Giving people an AI tool inside an unchanged process changes little. Decide again who does each step, in what order, and where a person checks.

https://www.ai-first.company/practices/run-two-tracks-automate-and-augment/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Treat AI work as two programmes. One automates repeatable digital tasks whose results are easy to check. The other gives experts AI help on work that cannot be handed over. Judge each by its own measure.

https://www.ai-first.company/practices/set-the-limits-before-the-tool-acts/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Before an AI tool sets a price, sends a message or takes a step for you, write down what it must never do, how far it may go, and what needs a person. Build those limits into the tool, then test inside them.

https://www.ai-first.company/practices/start-with-one-costly-process/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Pick one process that visibly costs time or money. Apply AI there, with a person checking the output, and expand only when the numbers move.

https://www.ai-first.company/practices/start-with-ai-in-software-you-already-pay-for/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Your office, accounting, support and sales software probably has AI features now. Try those on one task, with a few licences and a measured result, before you pay anyone to build something custom.

https://www.ai-first.company/practices/train-staff-on-the-tools-you-chose/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Show every user what your chosen AI tool is, where it goes wrong, and what they must check. Use your own tasks and your own rules, give people time to practise, and include temporary staff.

https://www.ai-first.company/practices/correct-ai-mistakes-fast-and-in-the-open/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Decide now what happens when an AI error gets out: who is told, who withdraws or corrects the work, and who checks how far the problem goes. In the documented cases, firms that owned up quickly were treated far better than firms that defended the error.

https://www.ai-first.company/practices/write-a-short-ai-use-policy/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Put the rules for AI on one page: which tools are allowed, what must never be typed in, who checks the output, and who to ask. Then build the most important rule into the work itself, because a page alone gets ignored.

https://www.ai-first.company/evidence/cases/air-ai-ftc-ai-business-opportunity/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Air AI sold small-business owners “conversational AI” that it said could replace customer-service staff, with promises that they would earn their money back. The US consumer regulator alleges that buyers lost up to $250,000 each and that promised refunds were rarely paid. Under a proposed settlement the owners are banned from marketing business opportunities.

https://www.ai-first.company/evidence/cases/commonwealth-bank-voice-bot-job-cuts/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Commonwealth Bank of Australia announced that an AI voice bot would replace 45 customer-service roles. The staff union said calls were rising, not falling. A month later the bank said its assessment had been an error, that the roles were not redundant, and apologised.

https://www.ai-first.company/evidence/cases/deloitte-australia-report-corrections/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A Deloitte report for an Australian government department had to be reissued to correct citations and a summary of a court case. The corrected version disclosed the use of a generative AI tool. The report does not say AI caused the errors.

https://www.ai-first.company/evidence/cases/garfield-law-ai-law-firm/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The regulator of solicitors in England and Wales authorised its first law firm that delivers legal services through AI. It helps businesses recover unpaid debts through the small-claims court. The regulator set limits: the AI may not propose case law, takes no step the client has not approved, and named solicitors stay accountable.

https://www.ai-first.company/evidence/cases/hmrc-copilot-randomised-licences/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The UK tax authority picked 3,000 staff at random and gave them an AI assistant inside their office software for three months. Most used it and liked it. Staff estimated it saved about an hour a week, and the authority cut self-reported estimates to allow for keen users answering more often.

https://www.ai-first.company/evidence/cases/klarna-ai-customer-service/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Klarna reported large savings from an AI support assistant. About a year later its chief executive said the company had judged the work too much on cost, and it began hiring human agents again. The AI assistant stayed.

https://www.ai-first.company/evidence/cases/presto-automation-sec-ai-ordering/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Presto sold restaurants a voice AI for drive-through orders and told investors it eliminated human order-taking. The US securities regulator found that people working off site, mainly in the Philippines and India, entered the vast majority of orders. Presto settled without admitting or denying the findings.

https://www.ai-first.company/evidence/cases/primus-solicitors-fake-citations/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A solicitor at a small law firm filed a statement with 45 case citations. Eighteen of the cases did not exist. His client had produced the research with public AI tools, and nobody at the firm checked it. The court referred him to his regulator.

https://www.ai-first.company/evidence/cases/psg-global-solutions-ai-interviews/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A recruitment firm let an AI voice agent carry out job interviews, while its human recruiters kept every hiring decision. In a randomised study of 70,884 applications, people interviewed by the AI were 12% more likely to get an offer and more likely to stay in the job.

https://www.ai-first.company/evidence/cases/uk-department-for-business-and-trade-copilot-pilot/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A UK government department gave 1,000 staff an AI assistant inside the office software they already used, and measured the result. Most users were satisfied and writing tasks went faster. Some tasks went slower or came out worse, and the department found no evidence of higher productivity.

https://www.ai-first.company/evidence/studies/us-small-employer-firms-ai-survey/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A Federal Reserve survey of US small employer firms: 46% use AI. Among users, 71% report higher productivity but 31% higher sales, and 18% spend less on outside services.

https://www.ai-first.company/evidence/studies/firm-data-on-ai-four-countries/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of nearly 6,000 executives in the US, UK, Germany and Australia: 69% of firms use AI, and nine in ten report no effect on jobs or productivity so far.

https://www.ai-first.company/evidence/studies/who-captures-ai-coding-gains/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of 30 million GitHub commits: AI wrote about 29% of US Python functions. Experienced developers gained from it; early-career developers showed no clear benefit.

https://www.ai-first.company/evidence/studies/endoscopist-skill-after-ai/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of 1,443 colonoscopies done without AI in Poland: after AI arrived, the detection rate of pre-cancerous growths fell from 28.4% to 22.4% within three months.

https://www.ai-first.company/evidence/studies/ai-triage-in-breast-screening/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A trial with 105,934 women in Sweden: AI sent low-risk scans to one radiologist and high-risk scans to two. Screening found more cancers with 44% fewer readings.

https://www.ai-first.company/evidence/studies/ai-exposure-and-occupational-mobility/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of job moves in Brazil and the UK: AI could open career paths for young graduates and also remove the stepping-stone jobs they start in.

https://www.ai-first.company/evidence/studies/ai-exposure-and-employment-oecd/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Across 23 OECD countries, jobs more exposed to AI did not lose employment overall. Where computer use was high, more exposure went with faster job growth.

https://www.ai-first.company/evidence/studies/ai-scribe-randomised-trial/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A trial with 238 doctors: one AI scribe cut time spent writing notes by 9.5%, another made no clear difference, and doctors used the scribes in about a third of visits.

https://www.ai-first.company/evidence/studies/ai-business-mentor-kenya/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 640 small-business owners in Kenya: a GPT-4 adviser made no difference on average, but weaker firms did nearly 10% worse and stronger ones better.

https://www.ai-first.company/evidence/studies/small-business-ai-payments-bank-data/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Payment records of over 4.6 million small US firms: 17.7% had paid for an AI service by December 2025, with a median spend of about $28 a month.

https://www.ai-first.company/evidence/studies/social-penalty-for-using-ai/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Four experiments with 4,439 people: workers who use AI expect to be judged as less competent and less motivated, and they are judged that way.

https://www.ai-first.company/evidence/studies/developers-slower-with-ai/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 16 experienced developers: tasks took 19% longer when AI was allowed, yet the developers believed AI had made them about 20% faster.

https://www.ai-first.company/evidence/studies/young-workers-in-ai-exposed-jobs/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

US payroll records: employment of 22–25-year-olds in AI-exposed jobs is 19% below that of less exposed peers, mostly from fewer hires. Older workers show no gap.

https://www.ai-first.company/evidence/studies/genai-adopters-and-junior-hiring/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Résumé data on 65 million US workers: at firms that hired staff to build generative AI into their work, junior employment fell about 9% within six quarters.

https://www.ai-first.company/evidence/studies/freelance-demand-after-chatgpt/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Postings on a global freelance platform: after ChatGPT, demand for writing and translation fell 20–50% below trend, while demand for chatbot work nearly tripled.

https://www.ai-first.company/evidence/studies/freelance-postings-after-chatgpt/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of a global freelance platform: posts for writing and coding jobs fell 21% within eight months of ChatGPT, and posts for image creation fell 17% after image AI.

https://www.ai-first.company/evidence/studies/ai-in-the-mittelstand-kfw/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of about 6,800 German small and medium-sized firms: 20% used AI in 2022–2024. Once skills and innovation are counted, firm size matters little.

https://www.ai-first.company/evidence/studies/vicious-circles-of-skill-erosion/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A case study of an accounting firm: years of relying on automated software wore down staff skills, and neither staff nor managers noticed.

https://www.ai-first.company/evidence/studies/state-of-ai-2025-survey/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 1,993 people in 105 countries: about 6% of organizations report large profit gains from AI. They are far more likely to have redesigned workflows.

https://www.ai-first.company/evidence/studies/copilot-field-experiment-66-firms/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 7,137 workers at 66 large firms: Microsoft 365 Copilot cut about two hours of email a week but did not change how much work people did or what kind.

https://www.ai-first.company/evidence/studies/genai-sales-experiments-online-retail/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Seven experiments on a large cross-border retail platform: AI raised sales by up to 16.3%, most where shoppers had got no help before. Returns and ratings did not worsen.

https://www.ai-first.company/evidence/studies/shadow-learning/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A two-year study of robotic surgery: the new technology cut trainees out of the work, and only a minority reached competence, by bending the rules.

https://www.ai-first.company/evidence/studies/small-business-ai-adoption-and-hiring/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Payroll records of 2,262 US small firms: a year after adopting AI, headcount was 6.8% higher than at similar firms, and about 10% higher for firms under 10 staff.

https://www.ai-first.company/evidence/studies/euro-area-firms-ai-use-by-size/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 5,067 euro-area firms: 41% of micro firms used no AI against 13% of large ones, yet about 7–8% made significant use of AI at every size.

https://www.ai-first.company/evidence/studies/genai-and-startup-employment/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of 94,789 US startups: those whose work was most exposed to AI cut staff by 8% within two quarters of ChatGPT, mostly juniors, while their output rose.

https://www.ai-first.company/evidence/studies/ai-tutor-without-guardrails/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Nearly 1,000 students in Turkey: open GPT-4 access raised practice grades 48%, but exam grades without AI were 17% below the no-AI group. A hints-only tutor avoided it.

https://www.ai-first.company/evidence/studies/us-census-ai-use-by-firms/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A US Census Bureau survey of all US firms: 18% used AI in late 2025, or 32% weighted by employment. Most used it to help staff, and 2% cut jobs because of it.

https://www.ai-first.company/evidence/studies/critical-thinking-and-trust-in-ai/ 2026-10-17T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 319 knowledge workers: those more confident in AI reported less critical thinking about its output; those more confident in themselves reported more.

https://www.ai-first.company/evidence/claim-checks/us-small-businesses-using-ai/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The figure is in the source, a 2026 online survey for the US Chamber of Commerce, a business lobby that argues against state AI laws in the same report. The report does not say how firms were recruited or weighted. Other US counts of the same kind of firm, made in other ways, are far lower.

https://www.ai-first.company/evidence/claim-checks/mit-95-percent-of-ai-pilots-fail/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The figure is in the report, but the report is preliminary and not representative. It rests on 52 interviews, 153 survey answers collected at conferences and a review of public announcements. Its authors call the figures “directionally accurate” rather than based on company reporting, and it defines success in two different ways.

https://www.ai-first.company/evidence/claim-checks/uk-copilot-26-minutes-a-day/ 2026-10-13T00:00:00Z 2026-10-17T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The figure is in the UK government’s report, but it is what users estimated, not time measured. It comes from one survey question with answers in ranges. HMRC, with licences given at random, put the estimate at about an hour a week. The Department for Business and Trade found no evidence that time saved led to higher productivity.

https://www.ai-first.company/practices/budget-for-people-and-process/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Licences are the small part of the cost. Plan most of the time and money for training, redesigning work, and helping people through the change.

https://www.ai-first.company/practices/measure-readiness-and-resistance-separately/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Staff can be keen on AI and worried about it at once. Ask about the two separately. A single “readiness” score hides the worry.

https://www.ai-first.company/practices/test-ai-knowledge-not-self-ratings/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

People judge their own skills poorly. To find out what your staff know about AI, use a short knowledge test or a second opinion, not only a self-rating.

https://www.ai-first.company/evidence/cases/accessibe-ai-accessibility-claims/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

accessiBe sold website owners an AI plug-in and said it would make any site meet accessibility standards. The US consumer regulator said it did not, and that reviews praising it were paid for. The company paid $1 million.

https://www.ai-first.company/evidence/cases/air-canada-chatbot-ruling/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Air Canada’s website chatbot gave a customer wrong information about refunds. A Canadian tribunal ordered the airline to pay. It rejected the argument that the company was not responsible for its chatbot.

https://www.ai-first.company/evidence/cases/ashurst-generative-ai-trials/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The law firm Ashurst tested generative AI with 411 of its people for five months and published the results. First drafts came 45% to 80% faster in timed tests. In a blind comparison, lawyers’ own drafts were more accurate on average, and one AI draft cited a wrong verdict.

https://www.ai-first.company/evidence/cases/butler-snow-ai-policy-ignored/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The firm’s policy required written approval before using ChatGPT for legal research. A partner used it without approval and filed five citations it had made up. The court removed three lawyers from the case. The firm paid for a check of 2,400 citations.

https://www.ai-first.company/evidence/cases/delphia-global-predictions-ai-claims/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Two investment advisers advertised AI they did not have. One said its AI learned from client data. The other called itself the first regulated AI financial advisor. The US securities regulator fined them $225,000 and $175,000.

https://www.ai-first.company/evidence/cases/donotpay-robot-lawyer/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

DoNotPay told customers its AI could do the work of a lawyer. The US consumer regulator said the company had never tested whether that was true and employed no lawyers to check. It paid $193,000 and had to tell past subscribers about the limits.

https://www.ai-first.company/evidence/cases/duolingo-ai-course-content/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Duolingo replaced a slow, manual way of writing language courses with one built around AI. It launched 148 new courses in under a year, after taking about 12 years over its first 100. The same week, its chief executive told all staff what “AI-first” would mean for contractors, hiring and headcount.

https://www.ai-first.company/evidence/cases/ebay-machine-translation/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

eBay began translating search queries and listing titles for Spanish-speaking buyers. A peer-reviewed study found that US exports to those buyers on eBay rose by 10.9%. It is one of the few AI results in retail measured by outside researchers.

https://www.ai-first.company/evidence/cases/eist-ai-quoting/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A metalworking shop with five employees and an owner used AI to price custom parts from 3D files and its own production history. A quote that could take two hours now takes about ten minutes. Most of the project was spent cleaning the firm’s data, and the owner still checks every quote.

https://www.ai-first.company/evidence/cases/gilberts-chartered-accountants-ai-first-steps/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A smaller UK audit and accountancy firm began with the AI features in tools it already had, on low-risk internal tasks. A partner reports that summarising a long document now takes 10 to 15 minutes where it took 45. The firm bars client data from public AI tools and treats every AI output as a first draft.

https://www.ai-first.company/evidence/cases/herges-ai-production-time-estimates/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A family-owned steel fabricator prices one-off jobs from its experts’ estimates of how long the work will take. A public support centre helped it record real times and train an AI model on them. The model’s estimates were five times closer to the real figure than the experts’ own.

https://www.ai-first.company/evidence/cases/hitachi-energy-chip-yield/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Researchers trained an AI model on the production records of a chip plant and asked it which process steps did most to spoil chips. Engineers tested its two suggestions on a live batch, and losses fell by 21.7%. On a second product the same method cut losses by 51.3%. The plant’s usual analysis had missed both causes.

https://www.ai-first.company/evidence/cases/klarna-ai-marketing/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Klarna reported that AI tools let it spend 25% less on outside marketing suppliers while running more campaigns. For agencies, it is a client saying in public which work it has taken in-house.

https://www.ai-first.company/evidence/cases/mata-v-avianca-fake-citations/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A lawyer used ChatGPT for legal research and filed six court decisions that did not exist. The court fined the firm and two of its lawyers. The judge said using AI was not the problem. Not checking was.

https://www.ai-first.company/evidence/cases/meta-regalbau-warehouse-analysis/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A shelving manufacturer with about 300 employees had staff wear small sensors so that AI could analyse how orders are picked in its warehouse. The findings shaped the layout of a new warehouse and save about €22,000 a year. Managers, the works council and all staff were told the purpose from the start.

https://www.ai-first.company/evidence/cases/milkforbubs-whatsapp-chatbot/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A small online shop in Singapore bought a ready-made AI chatbot to answer customers. The team loaded it with common questions, trained staff, and keeps correcting its answers. The founder estimates the team spends 30% less time on customer questions.

https://www.ai-first.company/evidence/cases/ministry-of-clean-ai-crm/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A Singapore cleaning company kept its customer list in spreadsheets. It moved to ready-made customer-management software that drafts replies and suggests the next step with each lead. The company reports replies in 10 minutes where they took an hour, and 30% more sales revenue.

https://www.ai-first.company/evidence/cases/morgan-and-morgan-in-house-ai-fake-cases/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A lawyer asked his firm’s own AI tool to add case law to a court filing. Eight of the nine cases it cited did not exist. Two other lawyers signed without reading. The firm had trained staff, and it then added a warning inside the tool.

https://www.ai-first.company/evidence/cases/nsw-reconstruction-authority-chatgpt-upload/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A temporary staff member uploaded a spreadsheet of flood-recovery applicants to ChatGPT, which the agency had not approved. It held personal and health details of 2,031 people. The agency then wrote AI guidance, tightened training and blocked such uploads.

https://www.ai-first.company/evidence/cases/procter-and-gamble-product-teams/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Researchers ran an experiment with 776 Procter & Gamble staff on real product-development tasks. People working alone with AI produced ideas rated as highly as those of two-person teams without AI, and did it faster.

https://www.ai-first.company/evidence/cases/rite-aid-facial-recognition/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Rite Aid used facial recognition to spot suspected shoplifters. The US consumer regulator said the chain never asked its vendors how accurate the system was, never tested it and did not train staff. Shoppers were wrongly accused. The chain was banned from the technology for five years.

https://www.ai-first.company/evidence/cases/rue-la-la-price-recommendations/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Rue La La, an online fashion retailer, had a tool built that predicts demand for products it has never sold and recommends a price for each. In a five-month test, researchers estimated that revenue on the tested products rose by 9.7%. The retailer set firm limits on what the tool could do before it let it near a price.

https://www.ai-first.company/evidence/cases/sam-retirement-advisory-ai-agents/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A two-person firm that advises clients on retirement turned each client file into a fixed sequence of steps and gave the routine ones to AI. Administrative time per file fell from about six hours to two and a half. Set-up cost about €3,000 and 60 hours, and the adviser still approves important letters.

https://www.ai-first.company/evidence/cases/siemens-ai-visual-inspection/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Researchers gave 48 inspectors at a Siemens electronics factory an AI aid for checking circuit boards. Half saw only the AI’s score. Half also saw a picture marking where the AI had found a problem. The second group caught more defects, and most of them did better than the AI working alone.

https://www.ai-first.company/evidence/cases/temple-and-webster-ai-customer-care/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Temple & Webster sells furniture online with about 200 employees. It reports that AI and automation handle 80% of customer contacts in whole or in part, and that customer care now costs over 60% less as a share of revenue. It then set up central approval, training and a contact person for AI in every department.

https://www.ai-first.company/evidence/cases/victoria-child-protection-chatgpt/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A child protection worker typed personal details of a family into ChatGPT to draft a court report. The report contained errors. The privacy regulator found the department had no rules, no training and no technical limits for such tools, and ordered it to block them.

https://www.ai-first.company/evidence/cases/walmart-product-catalogue/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Walmart told investors it used generative AI to create or improve more than 850 million pieces of product data. The task is narrow, repetitive and easy to check, which is where AI tends to work.

https://www.ai-first.company/evidence/cases/workado-ai-detector-accuracy/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Workado sold a tool that claims to tell AI-written text from human writing, and advertised it as 98% accurate. The US consumer regulator said independent testing put it at 53% on general text. Buyers had only the vendor’s word.

https://www.ai-first.company/evidence/cases/wpp-open-ai-platform/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

WPP, one of the largest advertising groups, invested heavily in its own AI platform and reported wide use by staff. Its revenue still fell in 2025. Investing in AI did not, on its own, protect an agency’s income.

https://www.ai-first.company/evidence/studies/ai-occupational-exposure/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The AI Occupational Exposure measure links what AI can do to the abilities each occupation needs. It measures exposure, not job loss.

https://www.ai-first.company/evidence/studies/ai-literacy-scales-review/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A review of 16 AI-literacy questionnaires: 13 ask people to rate themselves, only 3 test what they can do, and none was checked across cultures.

https://www.ai-first.company/evidence/studies/ai-adoption-and-psychological-safety/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 381 employees in South Korea, asked three times: AI adoption went with lower psychological safety and more depression. Ethical leadership softened that link.

https://www.ai-first.company/evidence/studies/ai-capability-and-firm-performance/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 143 senior executives: companies with stronger AI capability reported more creativity and better performance. One of the few tested AI scales.

https://www.ai-first.company/evidence/studies/chatbots-and-the-labour-market-denmark/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study linking Danish surveys to employment records: chatbots are widely used and reorganise tasks, but have not changed earnings or hours worked.

https://www.ai-first.company/evidence/studies/generative-ai-at-work/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A field study of 5,172 support agents: an AI assistant raised issues resolved per hour by 15% on average, with the largest gains for less experienced staff.

https://www.ai-first.company/evidence/studies/chatgpt-writing-experiment/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 453 professionals: ChatGPT cut the time for writing tasks by 40% and raised quality by 18%. The gap between workers narrowed.

https://www.ai-first.company/evidence/studies/digital-skills-employees-vs-supervisors/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study at one financial company in Poland: employees and their supervisors described the employees’ digital skills differently.

https://www.ai-first.company/evidence/studies/organizational-readiness-for-change-review/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A review of 47 healthcare studies, found by fixed search rules: readiness for change is measured in many different ways, and its link to results remains unclear.

https://www.ai-first.company/evidence/studies/explainable-ai-visual-inspection/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Two experiments with 48 factory workers and 113 radiologists: experts shown what the AI’s score was based on were more accurate than experts shown the score alone.

https://www.ai-first.company/evidence/studies/exposure-is-not-adoption/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A working paper argues that job-exposure scores show what AI could do, not what it is used for, and that actual use predicts hiring better.

https://www.ai-first.company/evidence/studies/ai-job-insecurity-and-knowledge-hiding/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 402 employees in South Korea, asked three times: fear of losing work to AI went with lower psychological safety and more hiding of knowledge.

https://www.ai-first.company/evidence/studies/generative-ai-and-jobs-ilo/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An International Labour Organization study of job exposure to generative AI: the main effect is likely to be support for workers, not replacement.

https://www.ai-first.company/evidence/studies/ai-knowledge-and-delegation/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 111 people: those taught how AI works delegated tasks to it more sensibly and performed better, but were less keen to use AI again.

https://www.ai-first.company/evidence/studies/individual-adoption-vs-organisational-maturity/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 179 leaders in Poland: 83% use AI daily, yet about 70% of their organizations have not moved beyond pilots. Barriers are mostly organizational.

https://www.ai-first.company/evidence/studies/oecd-ai-surveys-employers-workers/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

OECD surveys in manufacturing and finance across seven countries: training staff and consulting them about AI go with better outcomes for workers.

https://www.ai-first.company/evidence/studies/change-readiness-and-resistance/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A review of research on change readiness and resistance to change argues they are not opposites: the same person can be both ready and resistant.

https://www.ai-first.company/evidence/studies/self-rated-vs-tested-digital-skills/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study of 629 students: what people say about their digital skills and what a test shows differ widely, with both overconfidence and underconfidence.

https://www.ai-first.company/evidence/studies/decade-of-digital-maturity-models/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A review of eleven years of research on digital maturity models: critics point to the lack of data linking a maturity level to business performance.

https://www.ai-first.company/evidence/studies/jagged-frontier/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An experiment with 758 consultants: with AI they did more and faster on tasks AI handles well, and were less often correct on a task it handles badly.

https://www.ai-first.company/evidence/studies/ai-technostress-and-adoption/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 301 employees in China, asked three times: AI demands seen as a challenge raised willingness to use AI. Demands seen as obstacles lowered it.

https://www.ai-first.company/evidence/studies/human-ai-combinations-meta-analysis/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study that combined 106 experiments: human-plus-AI teams did worse on average than the better of the two alone. Results depended on the type of task.

https://www.ai-first.company/evidence/studies/ai-barriers-and-ai-maturity/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A survey of 108 specialists in the Netherlands: a shortage of skilled employees held back AI maturity most. Infrastructure and data had no direct effect.

https://www.ai-first.company/evidence/studies/suitability-for-machine-learning/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A scoring of 18,156 work tasks: most jobs contain some tasks machine learning can do, few jobs can be fully automated, and gains need job redesign.

https://www.ai-first.company/evidence/studies/digital-readiness-model-for-smes/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A study proposing a readiness model for smaller firms notes that many maturity models reflect senior managers’ views, not measurable outcomes.

https://www.ai-first.company/evidence/claim-checks/bcg-ai-maturity-matrix-rates-economies/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Two different BCG publications get mixed up. The AI Maturity Matrix rates national economies. The company figures come from a separate executive survey, and the tool behind it is not public.

https://www.ai-first.company/evidence/claim-checks/microsoft-responsible-ai-maturity-model/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The model exists as described: 24 dimensions, five levels, built from interviews with more than 90 specialists. One limit: it covers responsible AI only, not AI readiness in general.

https://www.ai-first.company/evidence/claim-checks/mit-sloan-path-to-digital-transformation/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The page cited is a collection of short articles with no single author or date. It says cultural, organizational and technical shifts are all needed. It does not say that culture is the main barrier.

https://www.ai-first.company/evidence/claim-checks/cisco-ai-readiness-index-fully-ready/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

The number is in the source. The population is not “companies”: Cisco surveyed leaders at organizations with 500 or more employees. Smaller firms are not in it.

https://www.ai-first.company/assessments/aias-4/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Four questions that show how positive staff are about AI in general. Use it as a quick reading before a rollout, and again afterwards, inside one country.

https://www.ai-first.company/assessments/ai-capability-scale/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 46-question survey of what a company has in place to use AI: data, technology, skills and the ability to change. Use it to see where leaders, IT and operations agree and where they do not.

https://www.ai-first.company/assessments/aicos/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A test of AI knowledge and skill with right and wrong answers, including a part on generative AI. Use it when you want a test, not a self-rating, and need questions on tools like chat assistants.

https://www.ai-first.company/assessments/aioe/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A public score of how far each occupation relies on abilities where AI has advanced. Matching scores exist for industries and regions. Use it to compare roles at a glance, then look at real tasks.

https://www.ai-first.company/assessments/ai-pre-implementation-checklist/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A checklist of what should be in place before an AI system goes live, in eight areas including staff readiness and human factors. It was built from one hospital’s experience. Use it as a prompt list, not as a standard.

https://www.ai-first.company/assessments/atai/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Five questions that give two scores: how far a person accepts AI, and how far they fear it. Use it when you want hope and worry kept apart in a very short survey.

https://www.ai-first.company/assessments/composite-psychological-safety-measure/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

An observation sheet for a team meeting plus a short survey. It records what people do, such as speaking up or staying silent, not only what they say they do. Use it on the teams an AI rollout touches first.

https://www.ai-first.company/assessments/cfir/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A widely used list of everything that can help or block a new practice, with example interview questions for each item. Use it to plan interviews before an AI rollout, or to find out why one is stuck.

https://www.ai-first.company/assessments/dloq/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A staff survey of how well an organization learns, in seven areas. Use it to judge whether the company can absorb a new way of working.

https://www.ai-first.company/assessments/dual-level-ai-readiness-model/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A model for public bodies that looks at the readiness of the organization and of its people together. Use it as a structured list of what to check. Its weights come from expert opinion, not from data.

https://www.ai-first.company/assessments/gaais/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 20-question survey, with a 10-question short form, that scores positive and negative views of AI separately. It is the best-tested attitude scale here, but translating it needs the authors’ consent.

https://www.ai-first.company/assessments/ilo-generative-ai-exposure-index/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A public score of how far generative AI could do the tasks in each occupation, and whether it would more likely replace or assist the worker. Use it to choose where to look first. It is not a decision.

https://www.ai-first.company/assessments/mails/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A self-rating questionnaire on AI skills that also asks how confident people feel about learning and solving problems with AI. Use it beside a knowledge test, not in place of one.

https://www.ai-first.company/assessments/nasss-cat/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Two checklists, a monitoring questionnaire and an interview guide for finding what makes a technology project hard. Use them to plan an AI rollout with the people it affects.

https://www.ai-first.company/assessments/nomad/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 23-question staff survey that shows whether a new practice is becoming part of normal work. Use it during and after an AI rollout, not before.

https://www.ai-first.company/assessments/oric/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 12-question staff survey on one specific change: are people committed to it, and do they believe the organization can carry it out? Use it before a rollout, team by team.

https://www.ai-first.company/assessments/perception-of-psychological-safety-scale/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 14-question survey that separates three places where people feel safe or unsafe: the organization, their team, and one-to-one relations. Use it to find where the problem sits.

https://www.ai-first.company/assessments/psychological-safety-inventory/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A 30-question survey of how safe each employee feels at work, in five areas. Use it when you want a detailed picture and have room for a longer survey.

https://www.ai-first.company/assessments/sail4all/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A knowledge test about AI for any adult, with right and wrong answers. It has four parts you can use separately. Use it to find out what staff know, not what they think they know.

https://www.ai-first.company/assessments/tpah/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

A method that scores each task in a company, not each job, on four separate scales: can AI do it, can this company deploy it, can AI help the person, and how much the task depends on a human.

https://www.ai-first.company/assessments/s-tias/ 2026-10-13T00:00:00Z 2026-10-13T00:00:00Z Paweł Szczęsnyhttps://www.ai-first.company/about/

Three questions on how far a person trusts a particular AI system. A 12-question long form exists. Use it for one named tool, and remember that more trust is not always better.