The Nth Layer — AI Maturity Index
Most AI maturity frameworks are built for generic enterprises. This one is built for private equity — hold-period economics, portco context, and value creation tied to EBITDA.
Six pillar scores, a weighted overall score, a maturity stage, and peer comparisons from 54 sponsor-owned B2B SaaS companies. Plus a 90-day action plan to close the gaps.
What you get
01
A weighted overall score, a maturity stage, and a radar profile across Strategy & Leadership, Data & Knowledge Foundation, Use Cases & Value Capture, Talent & Operating Model, Governance & Risk, and Infrastructure & Tooling.
02
Every result is benchmarked against a reference library of 54 sponsor-owned B2B SaaS companies. Every score is supported by public evidence with a clickable source link. The library is unique to Nth Layer.
03
A prioritised action list and a 90-day execution roadmap with EBITDA uplift modelling — tied to specific value creation levers, not generic AI best practice.
Our approach
The Index synthesises the leading public AI maturity frameworks — Gartner, McKinsey, MIT, BCG, Cisco, Accenture, Deloitte, KPMG — and recalibrates for sponsor-backed value creation.
Methodology
01
Majority PE ownership at time of scoring. The reference library is built for the hold-period context — not public-company benchmarks.
02
Companies at scale, with enough operational surface area for AI to have meaningful impact on EBITDA, workflows, and product.
03
Scoring relies entirely on public evidence — sponsor disclosures, audited filings, earnings calls, named case studies, and corroborating trade press. No insider information. Every score has a deep-linked source.
How we score
The 0 to 5 scale runs from Absent to Transformational. Three rules preserve scoring integrity.
How we evaluate evidence
Every score is supported by evidence categorised on a four-tier hierarchy. A sponsor partner, LP, or acquirer can interrogate any cell, click through to the underlying source, and form an independent view.