Diligence runs on associate hours.
Thousands of artefacts, no consistent index or scoring, and a diligence clock that never stops. Every deal starts from scratch.
For private equity · Deal teams and operating partners
From one deal to the whole portfolio.
We start in the data room on a live deal: every artefact indexed, scored against your firm's measures and aligned to the thesis, with the hard questions drafted. Then the same system runs across the portfolio, at roughly a quarter of the cost of an in-house AI operating partner.
The reality
Diligence is the first bottleneck. Adoption is the next.
The exclusivity window does not wait for analyst hours, and after close every board asks where AI starts. Generic AI chatbots don't fix this.
The pilot problem.
Traditional AI projects stop at proof of concept. They never become brain-backed workflows with edge authority, telemetry, adoption routines, and measured ROI.
The bandwidth problem.
Your operating partners are already stretched. Every portfolio company needs guidance — but not every fund can build a full AI adoption team.
At the deal
AI-accelerated diligence on the data room.
AI Due Diligence
£8,000 – £15,000 · 2–4 weeks, depending on access to people and data
Mapped to your firm's diligence process and scored against your own measures. What the deal team receives:
- Indexed artefact map: every document classified, grouped and searchable
- Thesis-aligned scoring: each area scored against your measures and the deal thesis
- Red-flag question set: the hard questions, drafted with evidence and citations
- DD process map: what's covered, what's open, what's missing
One question now belongs on every deal: could today's AI models and a motivated team rebuild the target's product in ninety days? If so, its moat is a head start, and the price should say so.
01 · Itemise & index
Every artefact in the data room: itemised, indexed and de-duplicated.
02 · Group to process
Mapped to your firm's diligence process and deal stages.
03 · Score to measure
Scored against your defined, PE-specific diligence measures.
04 · Align to thesis
Key details surfaced against the investment thesis and target.
05 · Challenge & map
The challenging questions, written. The DD process map, drawn.
Human gate
Human-in-the-loop where partner judgement matters.
We score the upside, not just the risk.
AI-readiness score
How ready the target is to deploy AI across its operations post-close.
Operations score
Where workflow re-engineering will move EBITDA in the hold period.
Diligence becomes a value-creation map from day one.
Across the lifecycle
What we do, deal to exit.
01 · Diligence · 2–4 wks
AI Due Diligence
A live data room, indexed, scored and aligned to the thesis.
£8–15k
02 · Diagnose · 2–3 wks
AI Diagnostic
The AI-readiness score becomes a board-ready 100-day roadmap.
£5–10k
03 · Prove · 30 days
Agentic Workflow Sprint
Production-ready agentic workflows in 30 days. Week-one prototype, guaranteed.
£20–35k
04 · Operate · Ongoing
Fractional AI Operating Partner
Your embedded AI operating partner: monitoring, governance, expansion, evidence.
£8–12k / monthAcross the portfolio, the same ladder runs as a Portfolio Programme, priced on request.
Core templates improve with every engagement. Your firm's rubrics and adaptations are never reused for anyone else.
For portfolio company leaders
Executive AI Coaching →
Executive AI Coaching: sponsor it, or recommend it and the company buys direct.
From £750 · same service, same feeThe operating partner
The operating partner your fund can actually justify.
Large funds hire AI Operating Partners at £350–600k a year. Praxis delivers the same capability across your portfolio at roughly a quarter of the cost.
Any motivated team could rebuild this in 90 days. We're the team that does it in 30.
We're not a supplier who shows up for isolated builds. We're a resource who knows your companies, spots patterns across the portfolio, and converts AI activity into agentic operating capability — with genuine accountability for outcomes.
Built as an AI-native operating company ourselves, Praxis combines forty years of operational leadership with machine capability that never sleeps. Clearer starting points, faster capability, stronger governance, consistent adoption — across every company we support.
Why Praxis
Built for PE timelines.
Decisions at P&L speed
CEO, COO and CIO experience, teams from 24 to 580, budgets to £120M.
30 days to deployed
Week 1 prototype. Week 4 live. Fixed scope, fixed price. We ship running systems, not reports.
Context that compounds
Every engagement leaves firm-specific rubrics, taxonomies and playbooks behind. The next deal starts where the last one ended.
Agents inside, humans at the edge
We practise the agentic operating model we help others build — forty years of leadership extended by a 24/7 machine substrate.
"Every PE firm I speak to is drowning in data rooms and short on time. Praxis is the first team I've seen that pairs real operating scars with AI that actually ships."
Begin
One conversation. No pitch deck.
Thirty minutes on a live deal or your portfolio, and the most credible first move.