By Mario Peshev, DevriX
You are three weeks from an LOI on a founder-led software business, and the technology section of your advisory scope reads like a compliance checklist. Cloud posture, license inventory, open-source exposure, a risk register with red, amber and green. All of it accurate, none of it telling you whether to move the price, walk, or change the plan for the first year of ownership. That gap is the problem with most transaction advisory technology private equity work: the report describes the asset, but it does not price the decision you actually have to make before you sign.
I have sat on both sides of this. I run an engineering firm that gets pulled into deals when a diligence report says “the platform needs investment” and nobody can tell the deal team what that costs, when it hits, or what it does to the model. So I am going to be specific about what a deal partner or operating partner needs to decide, and how to judge whether the advisory work you are buying actually informs those decisions.
The four decisions the technology workstream is supposed to serve
A technology diligence exercise exists to inform four things, and almost nothing else. Price, structure, the first-year operating plan, and whether you proceed at all. If a finding does not change one of those, it belongs in an appendix.
The mistake I see repeatedly is a report organized around technical categories rather than around those decisions. Architecture, security, DevOps, data, each with its own severity rating. A deal partner does not buy architecture. A deal partner buys a defensible thesis and an exit, and the technology work either supports that thesis or exposes a crack in it. Bain’s annual review of the industry has documented for years how much return now depends on operating improvement rather than multiple expansion, which means the technical facts only matter to the extent they move EBITDA or the timeline. You can read that trend in Bain’s Global Private Equity Report.
The way I judge technology due diligence is simple. Take any finding in the report and ask which of the four decisions it changes. If the answer is none, the advisor documented technical facts rather than serving the decision.
Price is the first decision, and most reports duck it
The single most useful thing a technology advisor can hand you is a number that ties a technical fact to a dollar figure the model can absorb. Not “the platform carries meaningful technical debt.” That sentence has never moved a purchase price. What moves a price is: the payment system will not survive the volume in the base-case growth plan, re-platforming it is roughly 14 to 18 months of a four-person team, and until it ships the business cannot onboard enterprise customers, which is the line item carrying most of the revenue thesis.
That is a claim a CFO can test and a deal partner can negotiate against. I wrote about this discipline at length in the piece on why the best tech due diligence firm prices deal risk in EBITDA, because the firms that only produce severity ratings leave the pricing conversation to you at the worst possible moment.
When you scope transaction advisory technology private equity work, the test is whether the advisor will put a cost and a timeline against the top three risks, in writing, with their reasoning shown. An advisor who will not attach numbers is telling you they are not confident enough to be useful in a negotiation.
What a priced finding looks like
- The technical fact, stated plainly.
- The commercial consequence, tied to a line in the model (revenue plan, integration cost, or operating risk).
- A cost range and a timeline for remediation, with the assumptions behind both.
- The decision it informs: reduce the offer, hold funds back, change the plan, or accept the risk.
Structure is where technology findings actually get resolved
Price is blunt. Structure is where a smart deal partner absorbs technical risk without blowing up the deal. A finding that a data separation from the seller’s parent will take nine months does not have to reduce your offer. It can move into a transition services agreement with a defined exit, or a holdback tied to the migration milestone.
This only works if the technology advisor understands the deal mechanics well enough to say “this belongs in structure, not in price.” Most technical advisors do not think this way because they were never in the room when the structure got decided. When you are assessing M&A consulting firms while you are the one underwriting the deal, this is the separator. Do they hand you facts, or do they hand you options for where each fact should live in the transaction.
The carve-out case is the sharpest version. If you are buying a division out of a larger company, the entanglement of shared systems, shared licenses and shared engineering staff is the deal. A technology advisor who treats a carve-out like a standalone asset review will miss the thing that determines whether Day 1 is even possible.
The first-year plan is a diligence output, not a Day 1 surprise
Here is the transition that goes wrong most often. Diligence produces a report, the deal closes, and then in the first board meeting someone asks what the technology investment plan is for the year. The advisory work that priced the risk never turned into a sequenced plan with owners and dependencies. So the operating team starts from a blank page, three months late.
The first 100 days should be draining a backlog the diligence work already identified. When a technology advisor scopes the work well, the risk register becomes the input to the first-year operating plan. Each red item has an owner, a cost already in the model, a sequence, and an integration dependency mapped against the commercial priorities.
I have written before about what a deal partner actually decides in M&A integration planning, and the pattern holds here. Integration is a set of sequencing decisions, and the technology diligence is where the raw material for those decisions gets produced. If the two are done by different people who never talk, you pay for the same analysis twice and lose the months in between.
The handoff you should insist on
Whoever runs the technology workstream should deliver two artifacts, not one. The diligence report, and a draft first-year plan derived from it. The second one is what makes the first one worth the fee. Without it, you have bought a document that describes the past instead of a plan that governs the year you are about to fund.
Proceed or walk is rare, and the whole point
Most diligence does not produce a walk. It produces a price adjustment and a plan. But the reason you commission it is the small number of cases where a technical fact breaks the thesis, and a good advisor is willing to say so before you have sunk more into the deal.
The thesis-breakers are usually not what a checklist catches. A single engineer who is the only person who understands the core system and is planning to leave. A product that appears to be software but is actually a services business with a thin technical wrapper, so it will never scale in the way someone projected. A data asset the seller was using in ways the company does not have the rights to continue under new ownership. These do not show up as amber items. They show up when someone experienced asks the right question and listens to what the answer avoids.
This is why I put weight on how you judge a value creation partner before you sign. The advisor who will tell you to walk is worth more than the one who confirms what you hoped, and you can usually tell which one you have hired by whether they push back during the pre-LOI conversation or wait to bill you for a report.
AI readiness has become a diligence line that mostly gets faked
Every deck now claims AI capability, and most of the claims do not survive a technical conversation. The question a deal partner needs answered is narrow: does the AI story represent defensible enterprise value, or is it a wrapper on someone else’s model with no proprietary data, no distribution advantage and costs that scale badly with usage.
I laid out a scoring approach in the piece on what AI readiness actually tells you in a deal. The short version for transaction advisory technology private equity work is that AI belongs in diligence only when the thesis depends on it. If the model prices AI as a growth driver or a margin lever, the advisor has to test whether the capability is real and whether the unit economics hold at scale. If the thesis does not depend on it, the AI section is marketing and should be treated as such. McKinsey’s private capital research and BCG’s work with principal investors both track how quickly technology-driven value theses are being underwritten, which is exactly why the diligence on them has to get sharper rather than more credulous.
Revenue systems are technology, and they get skipped
The technology workstream tends to stop at the product and the infrastructure, and it walks right past the systems that generate the revenue the thesis depends on. The CRM, the billing platform, the data that tells you whether the pipeline the seller showed you is real.
This matters most in a buy-and-build. When you bolt an add-on onto a platform, the revenue systems collide, and the decision about whether to consolidate them is one deal partners get wrong routinely. I covered the specifics in the piece on CRM consolidation after an add-on, and the connected question of what you actually buy when you buy revenue operations consulting. A technology advisor who ignores the revenue stack is handing you half a picture, and it is the half that determines whether the synergy case in your model is achievable or fictional.
The same gap shows up in reporting. If the target’s systems cannot produce the numbers the board will ask for, your first year gets consumed by data cleanup instead of value creation. That connects directly to what a deal partner actually needs from portfolio analytics, and it should be scoped during diligence, not discovered at the first quarterly review.
How to judge the advisor before you engage
Before you commission the work, you can predict most of its quality from a short conversation. The signals are consistent enough that I use them to decide whether an advisor is worth the fee.
Signals the work will actually inform a decision
- They ask what your thesis is before they ask for system access, because the thesis tells them where to spend their time.
- They will attach cost and timeline ranges to the top risks in writing, and show their assumptions.
- They distinguish between findings that belong in price and findings that belong in structure.
- They deliver a draft first-year plan alongside the report, not instead of it.
- They are willing to recommend against the deal, and they can point to a case where they did.
Signals you are buying documentation
- The scope is organized by technical category rather than by the decisions it serves.
- Severity ratings appear with no cost or timeline attached.
- The deliverable is a report with no path from findings to the operating plan.
- Nobody senior enough to challenge the seller’s engineering leads is on the team.
Where this sits against the rest of the deal
Technology diligence is one input into a larger underwriting decision, and it should be scoped to match the stage you are at. Pre-LOI, you want a fast read on whether any thesis-breaker is hiding in the technology, delivered in days, so you do not spend confirmatory diligence money on a deal that cannot work. That is a different exercise from the fuller confirmatory pass, and pricing them the same is a mistake in both directions.
The post-close phase is its own discipline, which I separated out in the piece on what a deal partner buys when they buy post-merger integration. Diligence tells you what to fix. Integration is the act of fixing it against a clock. The remediation decisions themselves, what to fix, what to tolerate, and what to fund, are covered in the piece on the technology remediation decision a deal partner owns. These are separate engagements that should share a single evidence base, which is the report you commissioned during diligence.
For context on how the broader market is pricing technology risk, the Harvard Law School Forum on Corporate Governance publishes practitioner analysis worth reading, and PitchBook’s data on deal volumes and holding periods tells you how much pressure there is on getting the first year right. You can find both at the Harvard Law forum and at PitchBook.
What to hold onto
Transaction advisory technology private equity work earns its fee when it changes a decision you were about to make. Price it against the four decisions: does it move the number, does it change the structure, does it seed the first-year plan, and would it stop you from a deal that cannot work. A report that does none of those is a cost, not an input.
The advisors worth hiring think in your language, which is EBITDA, timeline and risk, not in theirs, which is architecture and severity. When you find one who translates every technical fact into a commercial consequence and hands you a plan alongside the findings, you have someone who will save you the months and the mispricing that undisciplined diligence costs.
If you want a technology diligence read that prices risk in EBITDA and hands you a first-year plan you can take to the board, look at how we scope private equity technology diligence and value creation at DevriX, including the five-day confirmatory pass and the pre-LOI read.
