In one day, from differing assessments to three defensible AI bets, three deliberate stops and a 90-day cadence.
Thirty minutes with a founder. Then you get scope and a fixed price.
Run by Simon Scheurer and Marc Gasser – in person, start to finish.
The board discusses tools while the organisation struggles with data, accountability and a shared picture of reality. AI is not missing from the agenda. It rarely arrives there in a state you can decide on.
In the AI Monitor, leadership rates AI readiness at 54 out of 100, their teams at 42. Plan on the higher number and you may be funding an organisation that does not exist.
Three bets, three deliberate stops, named owners and progress you can see in 90 days. Decided, not discussed.
Leadership-vs-organisation gap map
Five working days after the intake, the group has the gap map – with the three questions the decision day has to settle.
Three questions on readiness, strategy and daily practice. Your result appears immediately – no email, no form.
Leadership Gap Snapshot
Basis: 162 valid responses, 106 of them with demographic detail. AI Monitor 2026, published by Teklens with ETH Zurich and the University of St. Gallen. Self-assessments, normalised to 0–100. Pre-release.
Every component names the obstacle it removes, the artefact you receive and when it is delivered.
No prior AI knowledge required.
Differing assessments and fuzzy terminology
Benchmark, perception gaps and starting position
before the decision day
Discussion without a decision
A facilitated one-day decision process
workshop day
Use cases get prioritised by volume rather than value
Portfolio by strategic value, uncertainty, time-to-value, defensibility, readiness and risk
workshop day
Insights can't be budgeted or delegated
3 bets, 3 stops or waits, owners, metrics and a 90-day milestone
within five working days of the workshop
Unclear decision rights
Board, executive and functional accountability
with the Decision Pack
Decisions and evidence disappear into presentations
A versioned workspace for strategy, governance, portfolio and reviews
with the Decision Pack
Templates created during the lab that your team keeps using afterwards. We don't attach invented individual values to them.
90-Day AI Leadership Operating System
The Decision Lab plus 90 days in which the three bets become real operating moves.
Leadership rates AI readiness higher than the people doing the daily work.
of organisations have the CEO directly accountable for AI governance. That single factor shows the strongest link to measurable bottom-line impact.
Since that date the Article 50 transparency obligations, general-purpose AI enforcement and the full penalty regime apply.
The method from research, the cases from practice. What we apply in the labs is tested against both.
ETH Zurich and the University of St. Gallen are research partners on the AI Monitor. They are not Teklens reference customers.
Anonymised example · Swiss industrial company, around 400 employees
| Decision | Type | Owner | Metric | 90 days |
|---|---|---|---|---|
| AI-assisted quotation drafting | Bet | COO | Quote turnaround time | Pilot in two regions |
| Knowledge search across product docs | Bet | CIO | Search time per query | Rollout to support |
| Restart predictive maintenance | Wait | CTO | Sensor data coverage | Review after the data project |
| Train an in-house language model | Stop | CTO | — | Not pursued, reasons in the log |
What we have delivered. Where nothing is cleared yet, a clearly labelled anonymised example.
No junior with a slide deck, no partner who disappears after the kickoff. Simon Scheurer and Marc Gasser run every lab themselves – the same two people from the first question to the decision.
Technology, product and engineering teams
Go-to-market, revenue and automation
Both are co-founders of Teklens, working out of Zurich. Labs run in German or English.
Two options, one scope. The Execution Track sits first because it shows the full extent – the recommended entry is the Decision Lab.
Diagnosis, a shared decision and a concrete execution plan. For teams that need clarity before they commit capital or capacity.
The scope is set; the price is fixed in the scoping call and confirmed in writing. No line items appearing later.
When the agreed inputs are complete, we deliver the defined Decision Pack by the agreed date. If an agreed component is missing, we keep working at no extra fee until the pack is complete.
Three bets, three deliberate stops, named owners and progress you can see in 90 days. Decided, not discussed.
Review the Board Decision LabThe Decision Lab plus real execution, reviews and embedding into how the team works.
The scope is set; the price is fixed in the scoping call and confirmed in writing. No line items appearing later.
When the agreed inputs are complete, we deliver the defined Decision Pack by the agreed date. If an agreed component is missing, we keep working at no extra fee until the pack is complete.
Three bets, three deliberate stops, named owners and progress you can see in 90 days. Decided, not discussed.
Review the Board Decision LabWhen the agreed inputs are complete, we deliver the defined Decision Pack by the agreed date. If an agreed component is missing, we keep working at no extra fee until the pack is complete.
We guarantee defined outputs and dates that we control. No revenue, transformation or autonomy guarantee – that depends on your execution, and we can't stand behind it.
After Decode and Shape, you decide – not us.
The Execution Track does not start automatically. A reasoned wait or stop is a valid result – and often the most valuable one.
The evidence holds. We start the Execution Track.
A bounded test resolves the open uncertainty before capacity is committed.
Fix the groundwork or the input first. With a criterion and a review date, not as a postponement.
No sensible business case. Recording that with reasons saves more than any pilot.
A loop, not a transformation with an end date.
Understand reality, context and the bottleneck
Where do we actually stand?
Set decisions, priorities and limits
What do we change – and what don't we?
Turn decisions into real work
How does measurable impact happen?
Embed learning, governance and routine
How does the system get better?
The Decision Lab covers Decode and Shape and hands over to Amplify and Evolve. The Execution Track runs the whole loop.
Every lab leaves behind a versioned Context Workspace: evidence, decisions, work, rules and what you learned, in one place. Human-readable, machine-readable for approved agents, exportable.
/company-ai/
00_evidence/
01_strategy/
02_governance/
03_portfolio/
04_reviews/The AI Monitor supplies the reading, the lab supplies the decision. Where a product contributes to execution we show honestly what Teklens does and what it doesn't: Teklens is the Context Control Panel for Software Delivery – not another issue, AI or roadmapping tool.
No. Technical depth comes in exactly where it changes the decision. The day is built for people who decide on AI budgets without building software themselves.
Then the Reality Snapshot is the interesting part: it shows whether the organisation is where the strategy assumes it is. In the AI Monitor, answers from the same company land about 30 points apart.
Then we record the disagreement instead of smoothing it over – with the question that resolves it and the date you'll answer it. A documented open point beats a decision nobody meant.
No. We show the product where it contributes to the decision and say plainly where it doesn't fit. No sales rep in the room.
The scope is fully described on this page. We fix the price in a 30-minute scoping call and confirm it in writing – with no line items appearing later.
No. After Decode and Shape you decide at the fit gate between amplify, experiment, wait and stop. A reasoned stop is a valid result.
Thirty minutes with the founding team. You get a clear recommendation, the right scope – or a reasoned no.