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World desk7 min

M&A Has a Digital Value Problem: 12 Questions to Fix It

Digital value in M&A depends on a specific thesis, realistic technology and integration choices, and initiatives with accountable owners and measurable outcomes.
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Digital value in a deal is not automatic: technology can enable growth, constrain the business, or add cost and risk. The way to make the thesis testable is to identify which capabilities matter, verify that they can deliver the promised outcome, and assign each value initiative an owner, funding, dependencies, timeline, and finance-validated measure.

The 12 questions below are a practical framework, not a verified reproduction of an original list tied to this headline. They apply whether the target is a technology company or a traditional business whose data, software, processes, platforms, or talent could advance the deal thesis.

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Start with the deal thesis and the digital assets behind it

1. What specific deal thesis depends on digital capability?

State the outcome in business terms and connect it to corporate strategy. Is the deal meant to add a customer-ready offering, distinctive technology, specialized talent, or an adjacent-market position? A technology rationale should explain why acquiring this capability is preferable to building it, partnering, or pursuing another route.

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Then name the digital capability that makes the outcome plausible. “Modernize the business” is not a deal thesis; “use the acquired platform to launch a defined product for an identified customer segment” is closer to one. The more concrete the connection, the easier it is to focus diligence and integration choices.

2. Which digital assets actually create value?

Look beyond applications and infrastructure. Digital value may reside in customer data, a platform, software, a product, repeatable processes, or people with specialized technical and product expertise. Distinguish assets that support the thesis from assets that are merely present on the target’s balance sheet or in its operating environment.

For each asset, identify its role: does it create a new offer, improve customer insight, make delivery more efficient, or provide talent or capabilities the buyer lacks? Treat the asset as a value source only if the deal can preserve or use it in a way that advances the stated rationale.

Test whether the target can deliver

3. Can the architecture deliver and scale the promised product or service?

Assess whether the target’s technology stack and architecture can deliver the product or service to market at the scale and pace assumed in the deal case. Examine how the product is built and operated, what it depends on, and whether the architecture can support expected growth and customer requirements.

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A product that works today may still require material changes to meet the deal’s growth assumptions. Make the gap explicit: what must change, who must do it, and when would the capability be ready? Keep that delivery risk separate from the strategic appeal of the product itself.

4. Is the competitive edge durable, or does it conceal architectural weakness or technical debt?

Determine what makes the target’s technology or product distinctive and whether that advantage is likely to persist. Then examine whether the apparent innovation depends on fragile architecture, accumulated technical debt, or capabilities that are difficult to maintain. A compelling demo or feature set does not, by itself, establish a durable advantage.

Ask what must be preserved to protect differentiation and what weaknesses could undermine it. The diligence conclusion should distinguish genuine strategic capability from remediation work that the buyer will have to fund.

5. What investment will be needed after close?

Build the post-close technology investment case around the work required to modernize, secure, scale, and maintain the target’s technology. Separate investment that directly enables the deal thesis from baseline remediation and ongoing operating needs; otherwise, the value case can obscure the cost of making the asset usable.

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Connect each material investment to its expected business effect and timing. If a growth assumption depends on modernization, the spend and delivery schedule belong in the same plan as the projected value—not in a separate technology backlog.

Choose the integration model around value and risk

6. What will integration cost, and what should connect, stay protected, or remain separate?

Estimate integration cost alongside the expected value, including the work needed to connect systems and data, preserve critical capabilities, or operate separate environments. Decide explicitly which capabilities should be connected, which must be protected, and which can remain separate. The right answer depends on the deal rationale, operating model, customer impact, and risk—not on a blanket preference for consolidation.

KPMG’s September 2024 survey of 150 US-based technology companies and private equity firms found that overestimated growth trajectory was cited as a source of discrepancies between synergy estimates and actual outcomes by 63% of PE respondents and 74% of corporate respondents. Underestimated integration costs were cited by 34% of PE respondents and 59% of corporate respondents. These are respondent-reported explanations, not universal deal failure rates. KPMG’s survey discussion makes the practical point: test both the growth assumptions and the cost of delivering them.

7. Which applications should be absorbed, selected, or left stand-alone?

Make application-portfolio decisions after defining the strategy and integration model. Gartner’s accessible research abstract identifies three possible approaches: absorption, best-of-breed, and stand-alone. Absorption brings applications into the buyer’s environment; best-of-breed selects preferred applications across the businesses; stand-alone preserves more autonomy.

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Compare options against the deal thesis, capability preservation, customer and product impact, application and data fit, cyber and operational risk, total integration and modernization cost, time to value, and operating-model autonomy. There is no universal scoring formula in the source material; the decision should follow the specific deal’s priorities. Gartner’s application integration abstract supports treating these as strategic alternatives rather than assuming one model fits every acquisition.

Make revenue synergy executable

8. Which customer and product opportunities underpin the revenue case?

Translate each revenue-synergy claim into identifiable customers, a specific offer, a sales process, incentives, pricing assumptions, and roadmap choices. Ask who sells the offer, how it reaches the customer, what product work is required, and what must happen before revenue can be recognized. A broad claim about cross-selling is not an execution plan.

Use the answers to test whether the opportunity is commercially feasible and timed realistically. KPMG’s survey figures above show why a projected growth trajectory should be examined as an assumption, not treated as a guaranteed outcome.

9. Which people are essential to realizing the thesis, and how will they be retained?

Identify the technical, product, and commercial people whose knowledge, relationships, or execution are critical to the value case. For each role or team, clarify what capability depends on them, how long that dependency is expected to last, and who is accountable for a retention plan.

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Retention matters especially when value depends on specialized talent or tacit knowledge that cannot be transferred simply by acquiring software or documentation. Make the people plan part of the initiative’s dependencies, rather than treating it as a separate HR workstream.

Decide deliberately where AI belongs

10. Is AI an acquired capability, an integration accelerator, or part of a new operating model?

Specify AI’s role in the deal, if any. It may be a capability being acquired, a tool used to accelerate integration, or part of a proposed operating-model change. These are different value propositions and need different evidence, ownership, investment, and risk assessment. AI is not a required ingredient in every acquisition.

PwC reports that roughly three in four acquirers used AI somewhere in integration, while one in five made an AI-ready foundation a primary integration objective. These are survey descriptions, not proof that AI causes better deal outcomes or that every buyer should make it a priority. PwC’s findings on AI in integration also characterize reported outcomes as associations rather than causal estimates.

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Turn the thesis into owned, measurable execution

11. Who owns each value initiative, and how will results be validated?

Give every value driver a named owner, timeline, dependencies, and funding. Define a measure that finance can validate, with a clear baseline and a way to distinguish realized value from forecast, timing shifts, or costs. An initiative without these elements is an aspiration, not an executable work item.

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Track the initiative through integration with the business outcome and the enabling technology work visible together. That makes it possible to surface delays or cost increases before they silently erode the deal thesis.

12. What can be planned before close, and what requires controlled handling?

Separate planning decisions that can be developed ahead of close from sensitive processes or data that require an appropriately controlled approach. McKinsey describes the use of digital clean rooms to develop solutions around sensitive processes or data. That is an example of a planning method, not legal guidance; deal teams should determine appropriate controls for their circumstances.

Use the pre-close period to clarify intended outcomes, likely integration choices, dependencies, and decision ownership where permitted. Avoid treating planning as permission to combine sensitive information or operate the businesses as though the transaction had already closed. McKinsey’s discussion of digital clean rooms explains their use in developing solutions around sensitive processes or data.

Use tools to support the plan, not substitute for it

Tools can help teams organize diligence and integration work, but adoption figures do not establish that any particular tool is necessary or effective for a specific deal. A 2025 Global PMI Partners survey summary reports virtual data rooms used by 78% of respondents and post-merger integration software by 22%. Those figures describe reported use among respondents; they are not recommendations or evidence of deal outcomes. Global PMI Partners’ 2025 survey summary provides the figures.

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The core discipline remains the same whether a team uses dedicated software or other tools: connect each digital value claim to evidence, an integration choice, accountable execution, and a measure finance can validate.

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