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Bootstrapping a Financial Services Consultancy in the Age of AI

M

Mark

Founder & Principal·20 January 2026

Building a financial services consultancy in 2025-2026 is a fundamentally different proposition from what it would have been even five years ago. AI has changed the economics, the operating model, and the competitive landscape in ways that most people in the industry have not fully processed yet.

When I founded Eaton Vasey, I made a deliberate choice to build the firm around AI from day one — not as a service offering, but as the operational backbone. Every process that can be automated is automated. Research, regulatory monitoring, document generation, content production, proposal drafting, project management — all of it runs on AI infrastructure built with our technology partner, AscendencyAI.

The result is that a single-principal consultancy can operate with the throughput of a team of five or six. Not because AI replaces the expertise — it does not — but because it eliminates the administrative overhead that traditionally consumed 60-70% of a consultant's time.

This matters commercially because it changes the unit economics. A traditional boutique consultancy needs three to four billable consultants to cover its overhead and generate a reasonable return. An AI-powered boutique needs one billable consultant — and that consultant can spend nearly all their time on client-facing work because the machine handles everything else.

The bootstrapped approach is deliberate. There is no external investment, no burn rate, no pressure to scale before the brand and the client base justify it. Every client relationship earned is genuine. Every pound of product revenue is proof of real market demand. The brand that accumulates is built on substance.

What I have learned so far: the market responds to authenticity. Financial services professionals are sophisticated buyers. They can tell the difference between genuine expertise and a polished marketing facade. Being transparent about how the business works — including the role AI plays — builds trust rather than undermining it.

The three-layer revenue model — products, advisory retainers, and project engagements — is designed so that every part of the business feeds every other part. Product users become retainer clients. Retainer clients surface project opportunities. Project clients become advocates for the products. The architecture compounds.

M

Mark

Founder & Principal

Mark founded Eaton Vasey in 2025 after a 20+ year career spanning Goldman Sachs, Deutsche Bank, and RBS. His experience covers derivatives operations, structured products processing, regulatory transformation, and AI adoption across tier-1 institutions. At Goldman Sachs he built and scaled cross-asset operations with deep exposure to OTC lifecycle and risk management. At Deutsche Bank he led MiFID II and EMIR implementation programmes across multiple jurisdictions. At RBS he delivered automation saving 200+ person-hours weekly and an AI-driven compliance platform that reduced onboarding time by 75%.