Programmatic M&A

12 guides for the decisions and work in this part of corporate development.

Programmatic M&A: The Complete Guide

Build a repeatable acquisition program that connects strategy, capital, integration capacity, and AI systems that learn from each deal.

Program Strategy and Target Criteria

Translate an acquisition thesis into evidence-backed target criteria, exclusions, capacity limits, and rules for revising the program.

The Programmatic M&A Operating Model

Assign decision rights, plan integration capacity, and establish the cadence and handoffs that make repeated acquisitions manageable.

AI System Architecture for Programmatic M&A

Design evidence-backed AI workflows with durable state, scoped retrieval, controlled tools, deterministic calculations, and reviewable decisions.

The Data and Evidence Foundation

Connect companies, documents, claims, decisions, and outcomes without losing provenance, permissions, historical versions, or financial definitions.

Continuous Sourcing and Target Intelligence

Build an evidence-backed target universe, qualify it consistently, maintain relationship context, and detect changes that deserve renewed attention.

Repeatable Diligence Across an Acquisition Program

Turn the acquisition thesis into reusable diligence tests, trace findings into decisions, and compare deals without leaking confidential evidence.

Valuation and Portfolio Economics

Evaluate deal value, program costs, capital requirements, correlated downside, and scarce integration capacity using consistent financial definitions.

Integration and Value Creation Across Deals

Choose the right integration pattern, manage shared dependencies, protect approved baselines, and distinguish realized benefits from forecasts.

AI Governance and Controls for Acquisition Programs

Set decision authority, protect deal information, test prompt injection and access boundaries, and manage AI workflow changes through observable controls.

Measurement and Learning Across Acquisitions

Measure program outcomes and AI workflow quality separately, preserve approval baselines, and turn reviewed mistakes into tested improvements.

Build the Program: A 90-Day Implementation Playbook

Launch a bounded acquisition workflow, validate its evidence and controls, measure the economics, and expand only after the team can operate it.