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4 questions | Approx. 1 min | Personalised to sector & revenue
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Where does AI actually belong
in your organization?
Through our SIGNAL method, we help organizations identify the few AI initiatives worth investing in, with clear business impact and ROI.
A structured methodology that scores where you stand, and prioritizes the AI initiatives worth funding.
For funds & mid-market firms
Designed for organizations with complex operations and growing data, where leadership teams need clarity on how to turn AI into real business value.
Through a six-week diagnostic
A structured approach combining interviews, data analysis, and benchmarking to assess where you stand and identify your highest-value AI opportunities.
Because AI shouldn't be guesswork
Most organizations are sitting on fragmented data and unclear priorities. Without a clear starting point, AI initiatives often fail to deliver real impact.
Six weeks. Six steps.
One fixed-price.
From internal interviews to data mapping and benchmarking, each step produces a tangible output that builds toward a clear, decision-ready AI roadmap.
Co-define the perimeter with the GP. Collect existing strategy, organization, and SI documentation. Prepare differentiated interview guides for each audience layer so no interview is wasted.
Eight structured 1-hour interviews across three layers: GP and Investment Committee, operating partners and portfolio finance, Data and IT leadership. The reconciliation across these three layers is where the truth lives.
Direct access to systems and data flows. Map quality, ownership, and integration gaps with the rigor of a tech due diligence. Benchmark against one best-in-class reference fund — not a peer, the best.
Score on five dimensions, four sub-criteria each, rated 1 to 4. Calibrated against the best-in-class benchmark. The radar shows where the gaps are widest — and therefore where AI investment produces the most value.
From the scoring gaps, identify two to three AI use cases with the highest value-to-effort ratio. Each modeled with complexity, gain, investment, payback. Typical archetypes: deal-flow scoring, portfolio data automation, ESG pipeline.
Two-part Comex session: a half-day in person for training and conviction-building, then a 2-hour restitution and prioritization debate. The diagnostic note ships ready for IC, board, or LP communication.
Self-assess
Wondering where your fund would score against this framework?
Take the 5-min assessment →Three artefacts. One restitution.
Concrete deliverables — not a slide deck of frameworks. Each is structured for IC discussion, defensible at LP follow-up, and built on the same scored evidence base.
The SIGNAL Scorecard
A single visual radar of your fund scored on five dimensions, overlaid with the best-in-class benchmark. The diagnostic at IC resolution — clear enough to share in 30 seconds, defensible enough to anchor a board discussion.
The AI Opportunity Map
2–3 priority AI use cases plotted on complexity vs. gain, with full value modeling: investment, payback, implementation timeline. Prioritized, calibrated to your investment thesis, ready to sequence into a roadmap.
The Diagnostic Note
A 10–15 page strategic document — findings, gaps, benchmark, use cases, roadmap sketch. The reference document everyone in the firm refers back to. Ready for IC deliberation, board reporting, or LP follow-up.
What six weeks looks like, on a real fund.
"Six weeks in, we had a defensible point of view we could put in front of the IC — and three priority use cases we could actually budget."
Managing Partner · French Mid-Market PE Fund · €1.2 Bn AUM · 2026 engagement
Prerequisite to all subsequent AI work. Unblocks portfolio-level analytics and fund-level reporting in a single architecture.
Recovers ~15 consultant-days per year on quarterly portfolio rollups. Payback in under 12 months.
Dual value: regulatory compliance plus a structured ESG-driven investment signal feeding sourcing and DD.
One engagement. One number.
No retainer. No surprises.
Scoped on the call.
A 30-minute call.
Then clarity.
A short call to understand where your organization stands and whether SIGNAL fits. If it doesn't, we will tell you — and point you to what does.
Before you get on the call.
A Big-4 audit is a technology assessment. SIGNAL is a strategic diagnostic. Six weeks instead of six months. Senior-led from start to finish, not handed off after kickoff. The output is a defensible point of view ready for the IC, not a 200-page deck nobody reads. We score, benchmark, and prioritize use cases tied to your investment thesis — not a comprehensive technology inventory.
Fixed price, fixed scope, fixed timeline. Pricing scales to fund AUM and engagement perimeter. We share the specific number on the discovery call once we have a picture of fit — no hourly billing, no surprise change orders. The engagement letter is one page.
NDA before any work begins. All findings stay between us, your IC, and your LPs. The case study on this page is anonymized with explicit consent. We do not republish, resell, or otherwise re-use engagement data — the benchmark in your scorecard is calibrated against an aggregated reference, never another named client.
The sweet spot is €500M – €2 Bn AUM for funds, €50M – €500M revenue for mid-market firms. Smaller than that, the methodology is heavier than the question warrants. Larger than €3 Bn AUM, you likely have an internal data team and a different problem. We will tell you on the call which side of the line you are on, and point you to what fits if SIGNAL does not.
Typical lead time is two weeks from signed engagement letter. The diagnostic itself runs six weeks from kickoff to Comex restitution. Maximum three SIGNAL engagements in parallel keeps partner-led delivery genuine — practically that means one to two weeks of waiting in busy quarters.
Nothing. No follow-up sales sequence. No nurture emails. Either we agree it makes sense to scope a SIGNAL engagement, in which case we send an engagement letter, or we do not, in which case we point you to whatever does fit and you do not hear from us again unless you reach out.
Want to discuss what this means for your business?
We can help you explore where fragmented product identity may already be creating risk across control, availability, trust and operating value.