Build and measure real AI capability across your workforce

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.

What real AI capability means

Not what someone knows about AI. What they can produce with it, and whether the work holds up when it is checked.

MOST TRAINING MEASURES

Courses completed

ETIQ MEASURES

Work produced and verified

Skills matrixManager dashboardsWorkflow-based assessmentsAudit-ready trails
What the gap costs youStudy.com, 2026
9 in 10

employees use AI at work at least sometimes

Feel prepared to use it well 17%
Have a clear standard 32%
Changed how they work 25%

You are paying for the tools and the headcount. Roughly a quarter of your people are getting the return.

Trusted by

AI is reshaping how work gets done across every industry.

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.

Traditional training doesn't translate into capability

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 can't scale to every team's needs

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.

Leaders without an AI background are under pressure

Managers and department heads need enough AI fluency to stay relevant, make informed decisions, and guide change.

You need confidence in AI-assisted work, fast

Organisations need assurance about the quality of AI-assisted work quickly, especially during the upskilling period when people are still finding their feet.

Token costs climb faster than the results

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.

Set up once, then capability builds continuously

The first two steps happen once. The other four repeat every time someone uses Etiq. Select any step to see it.

SET UP ONCE Runs every time
STEP 06

Bring the real work in

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 Etiq

Role-based learning programmes, built for your industry

Onboarding 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.

Their pathway

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

Their practice tasks

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

WHAT VERIFICATION CHECKS HERE

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.

Reskilling for finance

Their pathway

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

Their practice tasks

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

WHAT VERIFICATION CHECKS HERE

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.

Reskilling for law firms

Their pathway

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

Their practice tasks

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

WHAT VERIFICATION CHECKS HERE

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.

Reskilling for real estate

Their pathway

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

Their practice tasks

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

WHAT VERIFICATION CHECKS HERE

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.

Reskilling for market research

Their pathway

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

Their practice tasks

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

WHAT VERIFICATION CHECKS HERE

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.

Reskilling for logistics

Learning happens in the flow of the work

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.

Etiq
DashboardCoursesPractice Work Mode

THEIR REAL TASK

ANSWER Q3 operating expenditure summary
LineActualBudgetVar.
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

Prompt Coach 0/100

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.

Verify and Check4 checks

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.

Prompt Coach

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.

Verification

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.

Who Etiq is for

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 Work

AI 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 reskilling

Etiq 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 Capability

Managers 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.

Why generic AI training does not build capability

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.

They practise on real work
Something checks the output
Leaders can see who is capable

You end up with:

Want the numbers for your own team?

Talk to us about reskilling, or see how pricing works.

In Europe, reskilling is often easier
than firing and hiring

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.

European Union

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.

Reskill to reduce hiring pressure Retain experience Avoid redundancy costs and friction

In many markets, reskilling is the more practical path

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.

Illustrative estimate
£
£

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.

Hire externallyReskill, traditional wayReskill with Etiq
12 roles: £359,280 versus hiring
£179,280 versus traditional reskilling

Build AI-enabled teams across the business without losing momentum

Reskill leaders, business units, and IT professionals through applied learning with guardrails and measure capability uplift across the organisation.

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