The system of record for organisational AI competency
Your teams are delegating their work to AI. That's a new layer of expertise to manage.
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How your people research an account, assess a supplier, analyse a variance or prepare a customer response is now being encoded into reusable instructions, skills, agents and workflows. As those implementations spread, four questions go unanswered.
That expertise needs to be visible, evaluated, improved and governed.
Mensova helps organisations make the expertise they delegate to AI visible, evaluate it against their own work, and retain the evidence needed to improve and govern it over time.
Know what exists
Identify each delegated task, the implementation that performs it, its owner and its provenance.
Test it on real work
Assess performance against your organisation's own work and the criteria you agree.
Prove each change
Compare versions and keep the evidence of what changed and why.
Choose what scales
Identify the implementations that are ready for wider adoption.
Keep it accountable
Maintain approvals, responsibilities and review history.
Every delegated task gets a record that builds over time, so decisions rest on evidence rather than assumption.
Expertise never transfers perfectly into an AI implementation. Mensova treats every delegation as something to examine, with four questions.
The specific piece of work the implementation is meant to perform.
The inputs, context and limits it is expected to handle.
The criteria your organisation sets for doing that work well.
The results that show it succeeds, and where it doesn't.
The record earns its place when it helps you decide. Mensova keeps each decision alongside the evidence behind it.
When several skills or workflows do the same job, see which performs best on your work.
Find where performance falls short of the standard, and confirm whether a revision fixed it.
Spot when performance shifts, so reviews happen when they're needed, not only on a schedule.
Decide which implementations should be adopted across the organisation.
A skill, an agent, a custom assistant or a workflow is an implementation. The asset underneath is the expertise it expresses. Mensova records that expertise as a competency, so the same task can be performed by different implementations, on different platforms, without losing its history.
One competency, many possible implementations.
Mensova is built for UK organisations in regulated sectors, including financial services, healthcare, legal, energy and the public sector, that are scaling AI adoption across teams.
See what your teams have built, which implementations work, and what should become standard.
Point to ownership, approvals and evidence of performance when you're asked how AI work is controlled.
Know that the expertise your team delegated to AI is performing to the standard you'd expect of your people.
See where your organisation stands, and how Mensova can help. We're also seeking a small group of design partners to shape Mensova around real delegated work. If that interests you, get in touch.
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