Clarity on your agentic readiness
An honest picture of where your company stands today – across five dimensions, with no gloss and no tech jargon.
42% of companies consider their AI strategy well prepared. Among the people who have to carry it out, only 20% say the same.
Source: Deloitte, The State of AI in the Enterprise: The Untapped Edge (2026).
Before your company invests in agents, it needs a clear picture. The audit does not end in a diagnosis, but in a delegation map and a quantified action plan.
The audit does not measure whether AI can be used, but what can safely be delegated today, what blocks that, and what it could open up.
An honest picture of where your company stands today – across five dimensions, with no gloss and no tech jargon.
A short, scored list of the applications that promise impact in your company, including a personal potential rating.
A clear recommendation on what comes next: the step with the biggest lever and the one condition it needs.
Where does your company's knowledge sit – and how much of it is really reachable today, for staff and for agents alike?
Which sequences are stable enough for agents to carry – and where would automation only speed up the mess?
What is in use, what has quietly been orphaned – and where do tools block each other?
Which applications promise real leverage in your company – scored by effort, impact and risk?
How does your team work with AI today – and what does it take for new tools to be carried rather than tolerated?
A short call sharpens the cut: which areas the audit looks at closely in your company, and who belongs at the table for it.
I gather the five dimensions together with your team – structured, and at the pace of everyday business.
The findings condense into an Agentic Readiness Map: strengths, gaps and ranked use cases at a glance.
You get a reasoned recommendation for the next step – concrete enough that your team can start on it right away.
An Agentic Readiness Map is worth only as much as its interpretation. So the audit ends in a conversation rather than a document: we go through the findings together, place them in context and turn them into a decision your leadership can stand behind.
What the findings mean for your company in concrete terms – beyond the numbers.
Which one decision is due now – and what it costs if it stays undone.
For companies and knowledge-intensive teams that are weighing AI agents seriously – no matter how far along they are. What counts is not size, but that knowledge work is the core of the business and that leadership wants a solid basis for its decision.
Usually a few weeks from qualification to recommendation – depending on the size of your company and your team's availability. The effort on your side stays deliberately compact: one workshop and a few focused conversations.
A readiness map across the five dimensions assessed, a ranked list of your use cases and a reasoned recommendation for the next step – walked through in the closing conversation, not just handed over as a document.
Confidentiality is a precondition, not a feature: I work under NDA on request, access only the sources you release, and your data does not leave your systems. The work follows the Swiss Data Protection Act (DSG).
No. The audit assumes no technical groundwork – it meets your team where it stands. Where technical knowledge is needed, I bring it along; where it should be built up internally, the recommendation shows the way.
What the audit costs is listed under prices.