Pre-acquisition AI-readiness diligence

Meridian Supply Co

Distribution · 230 employees · target under evaluation

Full assessment

280,000

Records analysed

4

Connected systems

6

AI blockers found

Capital at risk if acquired as-is: €1,783,420/yr - the data exposure the buyer inherits on day one, before the value-creation plan even starts.

The finding that lands

Counts computed from the data
CriticalPipedrive ↔ SAP

4,308 customers exist as two different companies across Pipedrive and SAP.

€5,318,520 of revenue can't be reconciled

The same account is recorded under different names, IDs or addresses in each system. Each one is clean in isolation, so every single-system audit passes them.

Broken for AI: Any AI keyed on customer identity (pricing, churn, lifetime value, next-best-action) trains on a contradiction and ships confident, wrong answers.

CriticalPipedrive ↔ SAP

10,370 of 50,400 customers in Pipedrive have no matching record in SAP.

€5,318,520 of revenue sits in a cross-system blind spot

Forecasting and revenue AI can only see half the picture, so projections are built on a partial book.

NotableBambooHR ↔ Pipedrive

1,814 internal employees from BambooHR are sitting in the Pipedrive contact list.

1,814 records mislabelled as customers

Segmentation, scoring and outreach AI treat employees as prospects, polluting every model trained on the list.

Proceed with conditionsM&A Due Diligence verdict

Viable with conditions - €86K-€158K and 6-7 months to AI-ready.

Meridian Supply Co is not AI-ready today, but is a viable target with a defined remediation programme.

How good is the data?

52/ 100 · C

Are they AI-ready?

Not yet

Requires remediation first.

How long & how much?

6-7 months

€86K-€158K remediation

Risks the buyer inherits

Connectivity

CRM, ERP and finance systems don't reconcile to a single customer - expect post-close integration, reporting and synergy capture to slip while identities are resolved.

Provenance & Origin Coverage

No traceable data lineage - AI and analytics outputs won't be auditable or defensible to the IC, regulators or an eventual exit buyer.

Consistency

Formats and definitions diverge across systems - blocks a unified view and clean post-close consolidation.

Completeness

Key fields are missing on a material share of records - models and segmentation will be blind to parts of the book.

Conditions to proceed

  • Resolve cross-system identity: 1,240 customers are recorded as one city in Pipedrive and another in SAP - clean in both, broken for AI.
  • Bring Connectivity (currently 34) to an acceptable threshold before relying on AI in this area.
  • Bring Provenance & Origin Coverage (currently 44) to an acceptable threshold before relying on AI in this area.

Deal & price consideration

Factor the remediation investment (€86K-€158K) and 6-7 months to AI-ready into your model and 100-day plan. Cross-system reconciliation is the critical path on post-close integration. This reflects required remediation and timeline - not a blanket valuation discount.

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