PMI Diagnostic
Most acquirers assess integration complexity last. By then the plan is committed and the surprises are already locked in.
Deterministic integration complexity scoring before you commit the plan. Every score traces back to a specific data point. Fully auditable in front of a board or investment committee.
M&A integration fails most often not because the deal was wrong but because integration complexity was misread — assessed informally, too late, based on management interviews and gut feel. Technology stack friction, organisational misalignment, and process incompatibility surface after close, not before. By then the integration plan is committed and course-correcting is expensive.
The PMI Diagnostic produces a complexity score before you are locked in. Not a risk register. Not a project plan. A specific, data-driven read on integration complexity across four pillars — scored on explicit weighted arithmetic, with every finding traceable to a specific input. The kind of analysis you can put in front of an investment committee and defend.
What the diagnostic produces
- Four-pillar complexity scoring: Information Universe, Organisational Universe, Process & SOPs, Technology Stack
- Deterministic arithmetic scoring — not AI-generated numbers, AI-written rationale
- Three structured inputs: productivity suite metadata, SOP documents, technology inventory
- Every score traces back to a specific data point
- Fully auditable in front of a board or investment committee
- Available as a white-label module for transaction advisory practices
Why deterministic matters
AI-generated assessments of integration complexity are not auditable. When an investment committee asks why the integration risk is rated medium rather than high, “the model said so” is not an answer. The PMI Diagnostic scores like a credit scorecard — explicit weights, known inputs, arithmetic output. You can show the committee exactly why each pillar scored as it did. That is a different conversation.
The timing problem
Integration complexity is assessed informally in most deals — management interviews, site visits, gut feel. By the time the real friction surfaces, the plan is locked. A data-driven read before you commit changes the conversation — on deal structure, integration budgeting, and what the first 100 days actually look like. The diagnostic is most valuable during due diligence, not post-close.
Who this is for
M&A Partners, Corporate Finance Directors, Heads of Transaction Advisory, Integration Directors and PE Operating Partners at advisory firms, Big 4 transaction services practices, corporate development functions and private equity houses. Ireland and UK primary markets. The diagnostic is available as a white-label module for transaction advisory practices who want to offer data-driven integration complexity assessment as a standard part of their due diligence service.
The right entry point is someone who has lived through a bad integration — not just someone who runs them.
Common questions
What is the PMI Diagnostic and how does it differ from standard integration planning?
The PMI Diagnostic produces a deterministic integration complexity score before the integration plan is committed — not after close. Standard integration planning typically relies on management interviews, site visits and gut feel, assessed informally and often too late. The PMI Diagnostic uses three structured input types (productivity suite metadata exports, SOP documents, and a technology inventory spreadsheet) to score integration complexity across four pillars using explicit weighted arithmetic. Every finding traces back to a specific data point. The LLM is used only to write plain-English rationale for each score — not to generate the scores themselves.
What are the four pillars of the integration complexity score?
The four pillars are: Information Universe (how structured, accessible and compatible is each organisation's data environment), Organisational Universe (reporting structures, headcount overlap, cultural indicators and change management complexity), Process and SOPs (documentation quality, process standardisation, and workflow compatibility), and Technology Stack (system overlap, integration friction, and legacy technology risk). Each pillar is scored on a weighted scale and the scores combine into an overall integration complexity rating.
Why is this described as deterministic rather than AI-generated?
The scoring is deterministic because it is explicit weighted arithmetic applied to known inputs — like a credit scorecard. Given the same inputs, the same score is produced every time. The AI component is limited to writing plain-English rationale for each score after the arithmetic is done. This matters for auditability: every score can be traced back to a specific data point and explained in a board or investment committee setting without reference to a black box.
What data inputs does the PMI Diagnostic require?
Three input types: productivity suite metadata exports (calendar activity, communication patterns, group structures — anonymised, no content), SOP documents (process documentation in any standard format), and a technology inventory spreadsheet (systems used, vendors, integration points). These are typically available from both organisations before any legal agreement. The diagnostic does not require access to confidential financial data or client records.
Who is the PMI Diagnostic designed for?
M&A Partners, Corporate Finance Directors, Heads of Transaction Advisory, Integration Directors and PE Operating Partners at advisory firms, Big 4 transaction services practices, corporate development functions, and private equity houses. The diagnostic is available as a white-label module for transaction advisory practices who want to offer data-driven integration complexity assessment as part of their deal advisory service.
At what stage of a deal should the PMI Diagnostic be run?
The diagnostic is most valuable during due diligence — before the integration plan is committed and before the surprises are locked in. Running it at LOI or early due diligence stage gives the acquirer a data-driven read on integration complexity in time to affect deal structure, price, integration budgeting, and the PMI plan itself. Running it post-close is still useful for planning, but the window for the findings to change the deal economics has passed.
Request a PMI Complexity Assessment
Available as a standalone engagement or as a white-label module for transaction advisory practices.
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