An operations story that holds up in diligence
Hold-to-exit AI governance and evidence: what changed, what it was measured against, and proof it runs without the sponsor — assembled before the process opens, not during it.
Book an exit-readiness callThe buyer will diligence the operations story.
By the time a process opens, the AI and automation gains in the equity story become claims that have to be substantiated. Buyers and their advisers ask three questions: what actually changed, what was it measured against, and does it survive without the sponsor.
Where the hundred-day plan was run with baselines and owners, the answers already exist. Where it was not, this engagement reconstructs what can be reconstructed and closes what cannot, before a diligence team finds it first.
Where operations stories fall apart.
Unbaselined claims
An improvement with no credible before number gets discounted to zero in the buyer's model, and taints the lines next to it.
Key-person dependency
Gains that depend on two people and an undocumented workaround are read as risk rather than as capability.
Ungoverned AI
Models in production with no inventory, no owner and no monitoring are a diligence finding now, not a curiosity.
Vendor and data exposure
Licences, data rights and model provenance that were never examined tend to surface at the worst possible moment.
How we prepare the story.
- 01
Evidence audit
Every operational claim in the equity story tested against the records that would support it.
- 02
Gap closure
Reconstruct what can be reconstructed, remediate what cannot, and retire claims that will not stand.
- 03
Governance tidy-up
Model inventory, ownership, monitoring and controls brought to a state a buyer will accept.
- 04
Narrative pack
The quality-of-operations story written with evidence attached, ready for the data room.
What goes into the data room.
- A substantiated quality-of-operations narrative with the evidence indexed against each claim
- Before-and-after operating metrics with the measurement basis stated
- A current AI and model inventory with owners, purpose, monitoring and controls
- Documented process standards showing the gains are institutional rather than personal
- A remediation record for the issues found and closed during preparation
- A prepared answer set for the operational questions diligence teams reliably ask
Common questions.
- When should this start?
- Nine to twelve months before the process. Earlier still if the hundred-day plan was not run with measured baselines, because reconstruction takes time and some gaps can only be closed by operating differently for a couple of quarters.
- We did not baseline properly. Is it recoverable?
- Often partially. System data, ticket volumes and payroll records can rebuild a defensible before-picture for many processes. Where they cannot, the honest move is to drop the claim rather than have a buyer disprove it.
- Does this overlap with vendor due diligence?
- It feeds it. The operations section of a VDD report is far stronger when the underlying evidence was assembled deliberately rather than gathered under deadline.
Book a 30-minute briefing
A short conversation is usually enough to tell you whether this is the right first move — and what it would cost.
Book an exit-readiness call