Enterprise AI rarely fails on the model
It fails in the weeks after launch, when the new way of working meets the old one. The reasons are predictable, and avoidable.
The tool arrives before the problem
AI is bolted onto a process nobody redesigned
The company builds what it should have bought
Digital transformation changed the systems.
AI transformation changes the decisions.
Where this work lands
We work closely with private equity funds, advisers and operators: helping them become AI-native, improve profitability and lift productivity.
Private equity and PE-backed companies
Corporate advisory and professional services
Service-oriented businesses
Healthcare, financial services, transportation and logistics, retail and consumer. The software is rarely the constraint. The work is.
Build, deploy, adopt: hand in hand
The people who scope that work are usually the same people who build it.
Build
We rebuild the workflow itself, not a layer on top of it.
Deploy
Into production, inside your systems and your controls.
Adopt
Until your team runs it without us. This is the part that decides whether any of it counted.
What we bring
Deal Operating System
Diligence repeats. Judgement does not. Deal Operating System tests each opportunity against a stated thesis, structures the work around the unanswered questions, and carries it through the investment committee. The investment team decides.
Value Creation Assessment
Start with the business performance, not the tool. The Value Creation Assessment sets AI opportunities against revenue and cost drivers, using public filings, sector benchmarks, and company data where it applies. Each initiative is mapped to the value-creation lever it moves.
Service Transformation
We integrate AI into the work itself, one use case at a time. Before building, we ask four questions: where value sits in the P&L, what the systems allow, what will be accepted, and what customers need. Build, operating model and AI governance follow the answers.
