RESEARCH REPORT
The dawn of the agentic deal
How leading companies unlock value pools traditional M&A can’t reach
5-MINUTE READ
March 18, 2026
In brief
- The next era of mergers and acquisitions (M&A) won’t be won on speed of execution; it will be won on how boldly you redesign the enterprise.
- Agentic AI goes beyond efficiency. It is a lever to unlock value pools traditional deal models cannot reach.
- Learn how to embed agentic AI into your deal thesis and execution to create fundamentally stronger, more valuable companies.
M&A seeks value—agentic AI reframes how it’s engineered
For decades, winning in M&A meant optimizing execution—better diligence, tighter integrations, faster synergies. Generative AI accelerated these activities, improving efficiency and scaling analysis.
But efficiency is now table stakes.
Agentic AI marks a structural shift. It embeds intelligent systems directly into operating models, decision rights and workflows—reshaping how value is conceived, priced and realized. Its adoption is accelerating even faster than generative AI.
Private equity firms are leading this shift. Designed for operational value creation and informed by serial-acquirer discipline, they embed agentic AI directly into deal rationale, valuation models and post-close execution. They treat each transaction as a repeatable system that compounds advantage.
The signal is clear: experimentation is giving way to scaled operational deployment.
The strategic question is no longer whether AI belongs in M&A. It is whether companies will use it to reinforce legacy integration models, or deliberately redesign the enterprise around it.
The performance gap is widening
Despite rapid AI experimentation, most organizations remain stuck in pre-deal efficiency use cases—market scans, diligence summaries, financial modeling. Post-deal value realization remains the harder frontier.
A small group of acquirers, 27% of the companies in our research, are ahead of the curve. We call their organizations insights-driven leaders.
These organizations are:
EXPECTED GROWTH
72%
Our global survey of 650 senior dealmakers across 12 industries shows organizations expect agentic AI maturity in post-deal integration and value capture to grow by 72%.
4.6x
more likely to have deployed and scaled agentic AI across the M&A lifecycle.
2.7x
more likely to use agentic AI as a catalyst of integration value.
These leaders are not using AI to do the same deals faster. They are redesigning how deals create value.
01
Treat the digital core as a deal asset
Most acquirers evaluate financials rigorously but treat data architecture and AI readiness as integration afterthoughts.
Leading acquirers do the opposite. They:
- Assess AI readiness and data maturity during diligence
- Embed governed data and interoperability into deal rationale
- Transition acquired entities rapidly onto standardized, AI-enabled digital cores
By doing so, they convert the digital foundation into a compounding asset—not a post-close clean-up exercise.
02
Embed agentic AI directly into underwriting
AI investment often sits outside the deal model. Pilots launch after close. Value capture becomes episodic.
Leading organizations reverse the sequence. They:
- Identify material value pools first
- Link AI investments directly to underwriting assumptions
- Reflect AI-driven initiatives in deal pricing and capital allocation
- Track agentic impact with the same discipline as synergies
Agentic capabilities become part of the value thesis, rather than an experimental overlay.
03
Redesign the human operating model
Scaling agentic AI requires more than tools. It requires governance clarity and workforce readiness.
Insights-driven leaders place humans firmly in the lead:
- Humans set intent and guardrails
- Agents execute within defined boundaries
- Accountability remains explicit
This governance discipline unlocks confidence—and scale.
67%
of deal professionals say their teams require upskilling to collaborate effectively with AI agents.
04
Turn every deal into a capability build
Most integrations are treated as one-time events. Once synergies are delivered, organizations revert to business as usual.
Leaders institutionalize what they build:
- Reusable digital workflows
- Standardized data and integration playbooks
- Codified governance structures
- Persistent agentic capabilities
Each transaction strengthens the next. Execution effort declines. Advantage compounds.
Client spotlight: Scaling agentic AI through a clean digital core
A US-headquartered healthcare platform with an aggressive buy-and-build strategy embedded agentic AI into its enterprise architecture early.
After each acquisition, the company:
- Retires legacy enterprise systems within 90 days
- Migrates targets onto a standardized, AI-enabled digital stack
- Preserves a unified, interoperable data foundation
This industrialized rollout model prevents fragmentation and accelerates AI deployment at scale. The result: sustained deal outperformance—and a digital core that grows stronger with every transaction.
Redesign the deal. Redefine the enterprise
Agentic AI is not a feature added to M&A. It is a structural lever to unlock value pools traditional models cannot reach.
The next era of dealmaking will reward organizations that use transactions to build AI-enabled enterprises—fundamentally stronger, faster and more valuable than the ones they replace.
The mandate for leaders is clear: don’t just optimize the deal. Engineer the enterprise you want to become.