Analyst presents findings to a sceptical stakeholder
Scope a vague question, analyse a small dataset, write a one-page finding, then defend the method and the numbers. For data-literacy and analytics upskilling.
For L&D and reskilling teams
Practise the hard parts of the job before they count.
Training tells people what to do. Tacit lets them practise doing it. Your people do realistic work, produce a real deliverable, and defend it to an AI stakeholder who remembers what they said last time. Assessed against your criteria, and coached.
Simulations
Start with a role your people are moving into
Manager writes and delivers a performance review
Read the case file, draft the feedback, then hold the conversation with an employee who challenges the evidence. For new and first-time managers.
Your role, your criteria
Support agents moving to AI-assisted roles, new team leads, client-facing specialists. We write the simulation with your subject experts.
Evidence
Already running at programme scale
The same simulations, assessment and coaching run every day with workforce programmes and youth platforms.
18%→58%
average score for learners who started below 40%, first attempt to later attempt
89%
of learners who started below 40% improved on a later attempt
70+
languages in text, over 30 by voice
Try it with your team
What would help your team most?
Your team practises something that matters to them right now and gets personal coaching. You get a clear picture of where they stand. The results are yours to keep, whatever you decide next.
Most useful first step
Team skills baseline
Each person works through simulations drawn from their own role. You see where the team is strong, where the gaps are, and who is ready for more.
- Your team gets:
- a personal assessment and coaching for each person.
- You get:
- a capability snapshot to plan training around, and a starting point to measure progress against later.
Working well with AI
Most teams now produce work with AI help. The hard part is checking it, fixing it, and standing behind it. Your team reviews an AI-drafted piece of work and defends it to a sceptical stakeholder.
- Your team gets:
- practice at a skill nobody has been trained in yet.
- You get:
- a view of who checks AI output well and who passes it straight on.
New-manager readiness
New managers write a piece of feedback for an underperformer, then hold the conversation with someone who challenges it.
- Your team gets:
- a safe first go at the conversation most new managers avoid.
- You get:
- a readiness picture across your new managers.
Your hardest moment
Tell us the moment your team finds hardest, such as an escalation, a pricing conversation, or a handover. We build a simulation of it.
- Your team gets:
- practice at exactly that moment.
- You get:
- a write-up of where people struggled and what helped.
How it works
- 01
A short call
Choose the focus and agree what good looks like for your team.
- 02
Your team practises
In their own time, by voice or text, over a few weeks.
- 03
You get the picture
A short report and a call to talk it through.
Questions
How much time does it take?
A short call for you, and as much practice as each person wants. Most simulations take less time than a meeting.
Does it work in our language?
Text works in 70+ languages, and voice in over 30.
What happens afterwards?
Nothing, unless you want it to. The report is yours either way.