Reskilling Corporate

Trusted by

Catapult Digital The Citation Group Experian Intent HQ Wistron

Companies are buying AI faster than their people are learning to use it well

The tools are in place and the usage is real. What is missing is any way to tell whether the work coming out of them is good, and whether anyone is actually getting better at it.

GAP ONE

Training completion says nothing about real work

Someone can finish every module and still produce output nobody should send. Completion is attendance, not capability.

GAP TWO

AI usage says nothing about whether the work is right

Usage dashboards show that people are prompting. They do not show that the numbers reconcile or that the source exists.

GAP THREE

Neither tells leaders where capability is growing

No view of which teams are improving, which tasks are moving to AI, or which mistakes keep coming back.

Etiq connects all three: learning, the work itself, and the evidence underneath it. See how

AI can sound right when it is wrong. Etiq checks.

Every time someone works with AI, Etiq checks the resulting work against the underlying evidence. So employees learn from mistakes while they work, and managers do not have to take AI-generated output on trust.

AI SAYS

“Q3 closed at £2.41m against a £2.30m budget, a favourable variance of £110k. Benchmarks suggest this sits within sector norms. Recommend no corrective action.”

Confident, well written, cites a source. Generated in four seconds.

ETIQ CHECKS

Two of four checks failed.

The variance is adverse, not favourable£2.41m against £2.30m is £110k over budget. The recommendation is built on reading it backwards.

The source cannot be locatedNo publisher, title or page behind the benchmark claim. The sector norm has nothing underneath it.

Flagged before the work left the person's screen, and recorded against their capability profile.

Numbers

Arithmetic and totals recomputed against the source data.

Sources

Every citation located, or flagged as unfindable.

Claims

Statements checked against what the evidence supports.

Reasoning

Conclusions traced back to the inputs they came from.

Privacy

Sensitive data caught before it leaves the workspace.

This runs on every output, not on a sample and not at the end, whether the work is a board pack, a client email, a contract summary or a piece of analysis.

Learn, apply, verify, measure

One loop that runs on real work. Select any step to see what happens inside it.

See how your workforce is actually adapting to AI

Every time someone learns, practises or completes real work with AI, Etiq builds a clearer picture of capability across your organisation. Not a survey, not a self-assessment, and not a completion rate. Evidence from the work itself.

What people can successfully do with AI Which tasks are moving to AI Which errors keep appearing Where capability is improving

Workforce capabilitylive

AI capability by team

Finance84

Operations71

Marketing66

Legal48

Verified tasks completed

0~~this month~~

Up 38% on last month

Recurring errors

Unsupported claim31%

Source not found24%

Arithmetic mismatch18%

Scope missed11%

AI tasks by function

Reporting78

Analysis64

Drafting57

Review39

Verification pass rate

0~~of outputs clean~~

Was 52% at rollout

Credits saved through better prompting

0~~% lower spend~~

Fewer retries on the same task

Retries-34

This is what makes Etiq more than training: every verified interaction becomes information about what your workforce can genuinely do.

Built around the work your teams actually do

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 answer.

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:

In most European markets, reskilling is the more practical path

Cutting roles is slow and costly. Employment protection in the EU and the UK means consultation and notice before anyone leaves, with severance on top, and AI talent is scarce and expensive to hire back. Building capability in the people you already have keeps the institutional knowledge in the business. Adjust the figures for your own market.

Roles to move: 12 Cost per external hire

€

Cost to reskill one person with Etiq, per year

€

Illustrative estimate. Traditional reskilling is assumed at half the cost of an external hire. All three figures are editable.

Hire externallyReskill, traditional wayReskill with Etiq

12 roles: versus hiring

Talk to us about reskilling

AI training teaches. Etiq proves capability.

Give every employee learning that is relevant to their role, support while they do real work, and verification that checks whether the resulting work can be trusted. And give leaders something they have never had before: evidence of what their workforce can actually do with AI.

Build capability Verify the work See what is changing

Book a demo See pricing

Runs on the AI accounts you already hold, with your own model keys, inside your own workspace.

Know what your people can actually do with AI