We run AI across the data room from day one. Our platform processes documentation at machine speed, maps the technology estate against our structured methodology, and surfaces risks, gaps, and value creation opportunities before our partners apply their judgement. The result is sharper diligence, tighter integration, and a cleaner exit.
Traditional IT due diligence is a race against the clock. A team of consultants arrives, requests documents, conducts interviews, and then attempts to synthesise weeks of information into a coherent picture before the deal moves on. The result is often a report shaped as much by what time allowed as by what the evidence showed.
Panamoure's approach is fundamentally different. From the moment data room access is granted, our AI platform begins ingesting, classifying, and cross-referencing documentation against our COBIT 5-aligned framework. Within hours, not weeks, we have a structured picture of the technology estate, a mapped risk register, and a set of hypotheses that our senior consultants then interrogate, validate, and enrich through targeted stakeholder conversations.
The output is not just faster. It is more thorough, more consistent, and more defensible. Nothing gets missed because a consultant ran short of time. Every material document is processed. Every gap is flagged. The human judgement is applied precisely where it adds the most value.
The same senior partner team and structured methodology from first diligence call to exit close. No handoffs. No context lost between phases. No version of value creation that exists only in the presentation.
From the moment data room access is granted, our AI platform begins processing. By the time the first stakeholder interview takes place, our partners already have a structured map of the technology estate, a risk register by COBIT 5 domain, and a set of hypotheses to stress-test. This is not simply faster diligence. It is fundamentally more thorough diligence, because the AI does not run out of time or miss documents in the rush to close.
The output is a prioritised risk register, a value creation plan mapped to the investment thesis, and a 100-Day Plan that the operational team can act on from day one of ownership. Every finding is evidence-backed and designed to survive scrutiny in an investment committee meeting or a management challenge session.
Post-acquisition integration fails most often because the team that ran diligence is no longer in the room. At Panamoure, there is no handoff. The partners who identified the risks own the remediation. The synergy targets they modelled in diligence become the commitments they are held to, with benefits realisation tracked throughout the hold period.
Our AI platform continues to monitor progress against the value creation plan, flagging deviations early and modelling the impact of scope changes. The investor always has a real-time picture of where value stands, not a quarterly update that arrives after decisions have already been taken.
The earlier we engage in the exit process, the higher the EBITDA uplift we can deliver and evidence before the data room opens. Two years out, we focus on transformational levers, enterprise system modernisation, intelligent automation, and IT cost optimisation, the improvements that take time to bed in but add the most to the equity narrative. One year out, we clean up the estate, strengthen the cyber and compliance posture, and begin building the technical story the buyer will read.
Six months out, the focus shifts to quick wins, data room preparation, and TSA design. By the time the process opens, the technology estate is in the strongest possible shape and every improvement is evidenced. Buyers pay up for clean fundamentals. We make sure the fundamentals are clean.
Management-commissioned technology VDD shortens buyer diligence cycles because the buyer's advisors arrive to find a coherent, well-evidenced picture of the technology estate rather than a set of questions without answers. Our VDD is designed to pass scrutiny, not simply to satisfy it. Every finding is backed by primary evidence from the data room. Every risk is contextualised with a remediation path and a cost estimate.
Alongside formal VDD, we design the separation roadmap, draft TSAs, and plan day-one readiness for the separated entity. Application inventory and dependency mapping surfaces separation risks before they appear in a buyer report, so the deal closes with a workable plan and a data room that holds up under detailed examination.
For most new engagements, we begin with a rapid diagnostic. It is faster than a traditional scoping exercise because AI does the heavy lifting from day one, and it surfaces material risks and quantified upside against your timeline before any significant commitment is made.
Our platform processes all available documentation in parallel with targeted stakeholder interviews. Within 10 to 15 days, we build a clear and structured picture of the technology estate, the risk profile, and the value at stake, without the months of elapsed time a traditional diagnostic requires.
The diagnostic produces a prioritised evidence pack: red-flag risks with remediation cost estimates, quantified value creation opportunities ranked by EBITDA impact, and a 90-day action plan the operational team can act on immediately. Everything is evidence-backed and designed to survive scrutiny at investment committee level.
Based on the diagnostic findings and your exit timeline, we help you decide the most value-accretive next step. The path might be immediate remediation of value drags, formal vendor due diligence preparation, or direct transaction support. The diagnostic makes that call straightforward rather than speculative.
We can run a 10 to 15 day diagnostic on your portfolio company and deliver a clear picture of where value is at risk, where it can be unlocked, and what to do first, before your process opens.