We embed forward-deployed AI, data, and workflow teams inside PE-backed companies and enterprise operations, turning scattered experiments into measurable business value, from the data foundation to the bottom line.
Most companies are experimenting with AI, but few have turned it into measurable operating impact.
PortCos and enterprises often run on messy CRM, customer, and operational data that AI can't act on.
Teams are paying for expensive AI tools with no visibility into cost, quality, or ROI.
AI workflows fail when data is fragmented, ownership is unclear, and no one owns implementation.
The opportunity is not more AI demos. It is production workflows tied to real business KPIs.
Five capabilities, deployed by a senior pod that combines strategy, implementation, data engineering, workflow design, and ROI measurement.
Assess systems, workflows, data quality, use cases, feasibility, security needs, and ROI potential.
Clean up CRM, customer, product, finance, support, and operational data so AI workflows can actually work.
Reduce AI/tooling costs through model routing, usage tracing, evals, prompt/context optimization, vendor rationalization, and cost-per-workflow reporting.
Deploy high-value AI workflows across sales, customer operations, finance, support, internal knowledge, reporting, onboarding, retention, and operations.
Tie every initiative to measurable outcomes: revenue influenced, pipeline created, churn reduced, hours saved, cost reduced, margin improved, or EBITDA impact.
We work with PE firms and PortCo leadership to identify, prioritize, and deploy AI initiatives that improve revenue, margin, operational leverage, and exit readiness.
We work with enterprise teams that know AI matters but need help operationalizing it safely, cost-effectively, and measurably.
2–3 week sprint to assess data readiness, workflow opportunities, AI/tooling costs, and ROI potential. Output: prioritized use cases and a 90-day roadmap.
90-day implementation sprint to deploy 1–3 production workflows tied to measurable business outcomes.
Ongoing optimization, monitoring, new workflow development, usage/cost tracking, evals, dashboards, and quarterly value creation reviews.
These are examples, not a fixed menu. Catalyst identifies the highest-ROI workflows for each business, then builds and measures them.
Built the Partners proposition from the ground up at Chambers, one of the world's most recognised legal directories. Designed and launched new revenue architecture that contributed to a standout exit from Inflexion's Buyout Fund IV.
Engineered and launched Deployment Trackers across Infrastructure and Real Estate asset classes for PEI Media, the first internally built product at the portfolio company. Now in-market and contributing to enterprise value.
A senior AI + operator pod, not a roster of juniors.
Not just advisors, not just engineers. Both.
Data foundation before automation, every time.
Practical deployment, not demo theater.
Cost controls and measurement built in from day one.
Commercial outcomes, not technical vanity metrics.
A credible team with DeepMind, Deutsche Bank, PE, and growth/product/data experience.
Deep AI credibility from DeepMind, quant and modeling rigor from Deutsche Bank, value creation expertise from private equity, and operator depth across growth, product, and data.
Start with an AI Value Creation Assessment. We'll identify the highest-ROI workflows, the data gaps blocking deployment, and the first implementation path worth pursuing.