Most tools teach AI theory in one course and hope it sticks. Etiq finds the skill gaps behind each person's role and goals, then delivers learning in the flow of their daily work.
Most importantly, it verifies through the work people produce, not through course completion.
Not what someone knows about AI. What they can produce with it, and whether the work holds up when it is checked.
Courses completed
Work produced and verified
employees use AI at work at least sometimes
You are paying for the tools and the headcount. Roughly a quarter of your people are getting the return.
Teams that know how to use it effectively are already working faster, producing higher-quality output, and scaling impact without scaling headcount. The gap between AI-enabled organisations and everyone else is widening every cycle. The winners will be those who reskill their workforce to work alongside AI safely, effectively, and at speed.
Completion metrics don't equal readiness, and generic courses rarely match the work people actually do. Learning that isn't relevant to their real tasks doesn't turn into capability.
Training gets capacity-constrained across many teams and people with different needs and starting points. And no one has time to learn first and work later, so it has to happen in the flow of the job.
Managers and department heads need enough AI fluency to stay relevant, make informed decisions, and guide change.
Organisations need assurance about the quality of AI-assisted work quickly, especially during the upskilling period when people are still finding their feet.
A reasoning model on a simple task costs far more than it needs to. So does a weak prompt run over and over. Match the model to the work, prompt it well the first time, and most of that spend disappears.
The first two steps happen once. The other four repeat every time someone uses Etiq. Select any step to see it.
Work Mode. The board summary, the client deliverable, the claims file. Same assistant, same coaching, same verification, running on the thing your team actually owes someone this week.
Repeats every time they use EtiqOnboarding asks what each person does and what the business needs. Their modules, their practice tasks and the checks on their work are built around that. Choose an industry to see an example.
Finance teams, accounting, audit, insurance and the CFO office
Prompting for financial analysis
Checking AI output against the ledger
Reporting, commentary and board packs
Risk, claims and exposure analysis
Working with agents on close and reconciliation
Controls, audit trail and evidence
Generated from real work across the finance function
Draft the Q3 variance commentaryEvery figure traced to source before it ships
Reconcile a 400 line expense reportFind the exceptions, not just the total
Summarise a claims file for a decisionEvery material fact carried through, nothing invented
Build a reusable board pack promptConsistent packs, far less rewriting
On every output, not just the reports. Arithmetic that does not hold, a variance read the wrong way round, a policy term quoted that is not in the wording, and benchmark claims with no source behind them.
Partners, associates, paralegals and in-house counsel
Prompting for legal research
Citation and authority verification
Contract review at volume
Privilege and confidentiality in AI use
Drafting to a house style
Matter summaries and client updates
Generated from real legal work
Summarise a 60 page agreementFlag every clause that moved from the template
Review a research memo for fabricated citationsThe failure mode that ends careers
Draft a client update from the matter fileNothing asserted that the file does not support
Build a first-pass NDA review promptOne standard across the whole team
On every output. Authorities that do not exist, quotes that do not appear in the judgment, confident statements of law with nothing behind them, and client details that should never have left the matter.
Agency, asset management, valuation and property teams
Prompting for property and market analysis
Checking valuations and comparables
Lease and contract summarisation
Listing and client-facing copy at speed
Working with agents on pipeline admin
Reporting to owners and investors
Generated from real property work
Build a comparables summary for a valuationEvery comparable checked, not assumed
Summarise a lease for a client decisionBreak clauses and liabilities carried through
Draft an owner report from the month's dataNumbers reconciled before it goes out
Build a reusable listing promptOn-brand copy without the rewrite cycle
On every output. Invented comparables, yield and square footage maths that does not add up, lease terms summarised inaccurately, and market claims with no data behind them.
Research, insight and analytics teams
Prompting for research synthesis
Verifying findings against the raw data
Open-end and qualitative coding
Reporting that survives client scrutiny
Working with agents on fieldwork admin
Desk research and source quality
Generated from real research work
Code 200 open-ended responsesThemes that matter, not just the loudest ones
Turn a data table into a findings sectionNo claim beyond what the data supports
Write a debrief from three data sourcesEvery number traced back to its table
Build a reusable debrief promptSame structure across every study
On every output. Percentages that do not match the base, findings the sample cannot support, significance claimed where there is none, and citations to studies that were never run.
Operations, supply chain, transport and planning teams
Prompting for operational analysis
Checking output against live system data
Exception and demand reporting
Supplier and route decision support
Working with agents on scheduling
Customer and carrier communication
Generated from real operations work
Explain last month's delivery exceptionsCause and effect, traced back to the data
Compare three supplier quotes on total costNot just unit price
Draft a carrier performance reviewClaims backed by the actual movements
Build a reusable weekly ops summary promptSame report, a fraction of the time
On every output. Totals that do not reconcile, causes asserted without evidence, lead times quoted that contradict the system, and cost comparisons that quietly leave a line item out.
Prompt Coach scores how the person asked. Verification checks what came back, on every output, whatever the task. Both run automatically while people do their normal job.
THEIR REAL TASK
| Line | Actual | Budget | Var. |
|---|---|---|---|
| Headcount | £1.62m | £1.58m | +£40k |
| Technology | £0.47m | £0.42m | +£50k |
| Facilities | £0.32m | £0.30m | +£20k |
| Total opex | £2.41m | £2.30m | +£110k |
Q3 closed at £2.41m against a budget of £2.30m, a favourable variance of £110k, driven primarily by lower headcount costs. Benchmarks suggest this sits within sector norms for mid-market firms. Recommend no corrective action this quarter.
AI SKILLS OVERLAY
WHAT IS WORKING
You gave the model the actual figures instead of describing them.
The audience is named, so the register will be right.
WHAT TO IMPROVE
Ask it to flag any figure it could not trace back to the file you gave it.
Arithmetic does not hold2.41 against 2.30 is an overspend. The draft calls it favourable.
Source cannot be locatedNo publisher, title or page behind the benchmark claim.
PrivacyNo personal or sensitive data left your workspace.
Request addressedThe answer covers every part of what was asked.
Two of four checks failed. The person corrects the work, learns the pattern, and the result is recorded in their skills matrix. The same checks run on every output after this one.
Scores how the request was written and shows the one change that would improve it. Better prompts also mean fewer retries, which lowers AI running costs.
Runs on every output, not on a sample. Numbers, sources, claims, reasoning and privacy are checked against real data, whether the output is a report, an email, a contract summary or a piece of analysis.
Select the situation closest to yours.
Etiq scores every prompt and checks every output, so capability becomes measurable. You can see who is producing verified work, by person, team and department.
Read: The Hidden Cost of Manual Finance WorkAI talent is scarce and expensive, and in Europe cutting roles is slow and costly. Moving people you already employ into AI-enabled roles keeps the institutional knowledge in the business. Etiq builds that capability on their real work, so you can redeploy with confidence.
Compare the cost of hiring against reskillingEtiq reports verified work, capability level by team and where the gaps are. Measurable progress and skills planning, beyond course completion.
Read: Building and Measuring AI CapabilityManagers get enough AI fluency to judge the work, with verification doing the detailed checking. Issues are flagged before the work reaches you.
Clear pathways and guardrails build confidence faster. Coaching on every attempt, and checks that catch an unsupported claim before it reaches a client.
Etiq is built for organisations of roughly 50 to 5,000 people where AI is already in use and nobody can yet say how well.
Information has never been hard to find. What is missing is practice on real work, feedback while it happens, and a check on whether the answer is right. Select an option to compare.
You end up with:
Talk to us about reskilling, or see how pricing works.
Across much of Europe, cutting roles is slow and costly. Employment protection laws in the EU and the UK mean consultation and notice before anyone leaves, with severance on top, and AI talent is scarce and expensive to hire back. Reskilling the workforce you already have is often the lower-friction path.
Across the EU, cutting roles usually means consulting worker representatives first, on top of notice periods and severance, and collective redundancies trigger formal consultation under EU law. Reskilling the people you already have sidesteps much of that cost and delay.
Etiq builds that capability on your teams' real work, so you can redeploy people with confidence and keep institutional knowledge in the business.
Reducing headcount can be slow and costly, and AI talent is scarce. Moving your own people into AI-enabled roles keeps institutional knowledge in the business. Adjust the figures below to see the difference for your team.
Traditional reskilling is estimated at half the cost of an external hire. Figures are your own estimates, so swap in real numbers for your market and roles.
Reskill leaders, business units, and IT professionals through applied learning with guardrails and measure capability uplift across the organisation.