AIAI-powered knowledge transfer

Capture what your departing experts know — before their last day.

When an experienced person leaves, the knowledge that exists only in their head leaves with them. Our AI reads a decade of their work, pinpoints what only they know, and checks every answer they give against your own records — so the handover is measured, not assumed.

See how it works

Status: working prototype, validated blind. Currently onboarding design partners.

Built for energy · financial services · healthcare · utilities · government-linked entities

The problem

Nothing breaks on the last day. It breaks months later.

A renewal notice nobody knew about goes unanswered. A successor follows a procedure the last person knew was dangerous. By then, the institutional knowledge is unreachable at any price.

42%

of institutional knowledge is held exclusively by one individual

92%

of organisations fail to capture it before those people leave

50–200%

of annual salary is the cost of replacing an employee

Why the current handover cannot work

The standard artefact is a two-page document written by someone with one foot out of the door, reviewed by a manager who cannot know what is missing — because the missing thing is precisely what was never visible to them. Its completeness is unmeasurable by construction.

No function owns the question "did the knowledge actually move?" HR owns the offboarding checklist. Engineering owns the successor. Nobody owns the knowledge.

How it works

Four stages. Nothing installed.

No integrations, no OAuth, no access to your live systems at any point — which removes the security review that stalls this kind of work.

Ingest

You provide the offboarding export your IT team already produces for legal hold: mail, chat, tickets, documents, repository history. Files, not connections.

Map

We reconstruct who actually knows what, isolate the knowledge concentrated in the departing person, and rank it by the damage its loss would cause.

Interview

Short daily sessions — around twenty minutes — aimed only at the ranked gaps, quoting the person's own words back to them.

Verify

Every answer is scored against your records. Contradicted claims are flagged with the evidence attached, and gaps are re-interviewed while time remains.

What you receive

Four artefacts, before the last day

Delivered while the person is still on payroll — which is the only window in which any of it can still be fixed.

Knowledge Risk Map

Every area where they are the sole holder, ranked by business damage, with the evidence behind each finding.

Successor Handbook

How each area works, why it works that way, what breaks, who to call, and what never to do.

Verification Report

Every answer scored for specificity and coverage; contradicted claims flagged and cited.

Residual Gap List

What is still missing on the last day — and the scope for a paid consulting agreement if you want one.

Proof

What the engine found in a blind test

A synthetic company: a nine-year senior engineer, 62 artefacts, six pieces of undocumented knowledge deliberately buried in ordinary noise. The engine saw none of the answers in advance.

Vendor contract auto-renewal removed — known to one person100
Encryption key rotation that silently breaks settlements79
Regulatory filing quirks (dedupe, boundaries, median)69
Override table only one person has ever written to64
Manual failover — the console button loses live data62
Weekend-skip logic in the reconciliation job49

6 of 6

planted knowledge areas surfaced and correctly ranked

3 of 3

evasive answers caught, each citing the artefacts that refute them

0

false alarms on planted noise

7 → 2

at-risk areas when the same knowledge was shared evenly — the signal tracks concentration, not noise

Synthetic data — no real company information. We report each client's own numbers rather than recycling these.

What this is not

We will not claim more than we can prove

The boundaries we hold, stated before you ask.

The claim we don't make What we actually do
Not a lie detector We detect claims your records contradict, answers too vague to be usable, and topics never covered at all. A human decides what a flag means.
Not surveillance We analyse work artefacts your company already owns and retains. No activity tracking, no screen capture, no observation of anyone working. The departing employee sees what was extracted and can redact it.
It does not invent findings Every flag must cite specific artefacts by ID, author and date. A flag that cannot cite is suppressed and never shown. The system is tuned to miss a real gap rather than manufacture a false accusation.

Security

You are handing us sensitive knowledge. We designed for that.

Single-tenant isolation

A dedicated environment per engagement. No shared datastore across clients.

Scheduled destruction

The raw corpus is destroyed on a contractual clock after the engagement closes, with a certificate.

Your keys, your endpoint

Encryption under customer-managed keys, and analysis can run through your own enterprise model deployment.

No model training

Your data is never used to train models and never crosses between engagements — contractually.

In-tenant option

For the strictest requirements, the processing environment deploys inside your own cloud.

Stated plainly

We are early-stage. SOC 2 Type II is in progress and not yet complete. Better you hear it now than in week three.

Questions

The questions people ask first

Is this really AI, or just search?

Both, deliberately. The ranking layer is deterministic arithmetic, because you need to audit why we flagged one of your people. The AI does the language reasoning nothing else can: reading an answer, working out what it actually claims, and checking that against years of your own records.

Can it tell when someone is lying?

No, and we will never claim it can. It detects three things: claims your records contradict, answers too vague to be usable, and topics never covered at all. Each one arrives with the source attached, and a human decides what it means.

Is this employee surveillance?

No. We analyse work artefacts your company already owns and already retains — the same material an eDiscovery vendor would receive. No activity tracking, no screen capture, no observation of anyone working. The departing employee sees what was extracted and can redact it.

What if the AI invents a contradiction that is not real?

Every flag must cite specific artefacts by ID, author and date. A flag that cannot cite is suppressed and never reaches you. The system is tuned to miss a real gap rather than manufacture a false accusation.

Why not just run an exit interview with ChatGPT?

You can run an interview with a chatbot today. What you cannot do is rank what to ask about, or know whether the answer was true — both require holding the corpus as ground truth and reasoning against it. That grounding is the engineering, and it is what turns an exit interview into a verified handover.

Do we need to connect our systems?

No. You provide the offboarding export your IT team already produces for legal hold — mail, chat, tickets, documents, repository history. There are no integrations, no OAuth, and no access to your live environment at any point.

Get in touch

We are onboarding design partners now

If someone senior has recently given notice, that is the moment this is worth most. A first conversation takes twenty minutes.