Tacit by DRVN

Knowledge transfer for experienced people

Your most experienced people know things no system has ever seen.

Tacit captures that knowledge before it walks out the door: through coaching conversations with an AI, checked against your own data, and approved by the expert who owns it.

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Example interview · session 2 Quote calculation
Q

Tell me about the last time you gave a customer a delivery date that wasn't the standard one. What did you see?

A

That was a contractor. When their site manager calls himself, the job is usually behind schedule. So I plan an extra week, without asking.

Rule captured · awaiting approval

If a contractor's site manager calls in person, add one week of slack to the delivery date.

Every company has a Marc.

Sixty-one. Thirty years in the company. He is the only one who knows why one customer always gets a different lead time, which supplier to call when the usual one fails, and what the price list doesn't say.

In two years, Marc retires. If he is out tomorrow, that knowledge is gone today.

That dependence is a risk on every balance sheet, and a discount in every acquisition or succession.

The insight

This isn't a technical problem. It's a human one.

People rarely hide knowledge out of bad will. They hold back for reasons you can design for.

"If I explain this, I'm replaceable."

We tie the process to something real for the expert: a mentor role, a landing path, recognition.

"Nobody ever asked how I do it."

We start with their career and their proudest cases. Being asked becomes the recognition.

"It's just gut feeling."

We ask about concrete situations, not abstract processes. That is where the reasoning surfaces.

"What happens with this?"

Full transparency from session one. The expert sees and approves everything that is kept.

How it works

Six to eight sessions, from personal to operational.

A human guide builds trust. The AI prepares, follows up, structures and tests between sessions.

  1. 01

    Career reflection

    Which customer did you almost lose, and save? People love telling these stories. The expertise is in them.

  2. 02

    Case deep-dives

    What did you see, what did you weigh, and what did you deliberately not do?

  3. 03

    Meet the data

    You handle this type of customer differently every time. What do you see that the system doesn't?

  4. 04

    Correct, don't explain

    The AI proposes how you reason. You fix what's wrong. Easier than starting from zero, and it feels like respect.

  5. 05

    Validate and sign

    The expert approves the result. It becomes their playbook, with their name on it.

What you get

Knowledge you can test, not a wiki nobody reads.

We replay the expert's past cases with an agent and compare its decisions with theirs. Where they differ, the next interview question appears.

Coaching is the method, never the disguise.

Open about the goal from the very first session.

Separate layers for personal reflection and company knowledge.

The expert approves everything that is kept and shared.

Something in return: a mentor role, a landing path or a bonus.

Pilot · autumn 2026

We're looking for three companies with a Marc.

One expert, one role, a short series of sessions. You keep the playbook; we learn how to make the method better.

At Tectonic on 21 October?

Scan, get interviewed for five minutes about your own job, and receive your mini-playbook by email.

We only use your details to reply to you. They are stored securely and never shared.