AI for post-acquisition integration

An AI integration team for post-acquisition decisions.

Preserve what made the business worth acquiring.

Source-linked integration decisions for protecting acquired value, finding synergy opportunities, and resolving post-close operating risk.

Inside the Day 1-100 sprint

01

Deal record

Memo, model, contracts — the story the deal team already has.

What breaks

The danger is breaking what you bought.

After close, teams rush to merge systems, roles, reporting, and processes. Some should change. Some are the asset. Some hide synergies. The hard part is knowing which is which.

01

Diligence misses the operating reality.

The IC memo lists what you bought. It doesn’t list the people who keep it running.

02

The fragile parts are unwritten.

The workaround that holds Q3 reporting together lives in someone’s head, not a doc.

03

Decisions happen in meetings and spreadsheets.

Cutting a TSA is a million-dollar call. It gets made with a slide deck and three opinions.

Two phases

Two phases. Each ends with a pack of evidence.

Not a dashboard. Not a tracker. Buy one phase, or both.

Phase A, Sign-to-close

Readiness pack

On documents only.

The deal is signed. You're weeks from close. You have an investment memo, a synergy model, diligence reports, and a Day-1 plan. Required output: unsupported assumptions, missing owners, dependency gaps, and Day-1 blockers.

5 to 10 days
Phase B, Day 1-100

Operating map

With operator interviews.

The company is yours. The org chart says one thing, the operators say another. We sit with them and map what actually holds the place together — what to preserve, what to merge, what to delay. Every line tied back to an interview or a doc.

3 to 4 weeks
Founder
Rémi Al Ajroudi

Founder

Rémi Al Ajroudi

Built by an AI engineer, shaped with M&A operators.

Rémi Al Ajroudi builds model-based AI and evidence systems for high-stakes expert work.

TrainingÉcole Normale Supérieure Paris-Saclay · MVA
ResearchApple · University of Tokyo · Carnegie Mellon
Public mandateBelgian institutional audits
FocusEvidence-backed AI systems

He also served as an independent expert on Belgian institutional audits carried out under the country's public higher-education quality assurance system. The work used documents, interviews, evidence collection, and structured reports. It showed how much expert judgment depends on disciplined information work.

Domain guidance comes from Patrice Pinsard, former executive at Solvay, Cognis, and Perstorp, with post-acquisition integration experience across Europe, the US, Brazil, China, and India.

Trust model

Start confidentially.

Redacted starts. Scoped data access. No model training on your deal data. Human review in the loop.

Redacted starts
Access agreed upfront
No model training on your data
Source-linked outputs
Human review in the loop

Post-acquisition integration

Bring one post-close decision.

Define the sprint boundary before sensitive data moves.

See it on one of your deals