About Graph

Graph exists to solve a simple but increasingly dangerous problem: B2B companies are doing more marketing, running more tools, and working with more partners — yet growth is harder to explain, harder to sustain, and harder to defend.

Buyers now rely on AI to research, evaluate, and shortlist suppliers long before they speak to Sales. That means visibility, credibility, and conversion are no longer driven by campaigns alone — they are shaped by the commercial systems behind them.

Graph is a London-based AI and growth consultancy built for organisations that have outgrown traditional agencies and need clarity, confidence, and commercial performance in AI-driven markets.

Most growth problems don't come from a lack of effort. They come from fragmentation.

Strategies sit in decks. Content lives across websites, PDFs, and platforms. Agencies optimise channels in isolation. AI pilots never make it out of test mode.

The result is familiar: activity without momentum.

We believe sustainable growth comes from coherent commercial systems — where go-to-market strategy, content, digital experience, data, and AI work together to support how modern buying decisions are actually made.

Companies come to Graph through different doors, but the underlying challenge is the same: their commercial systems were built for a pre-AI buying environment.

We help in a few ways:

Diagnose what's actually breaking

Focused diagnostics to identify where visibility, evaluation, conversion, or GTM execution is leaking revenue — and where effort is being wasted.

→ Find revenue leaks

Improve visibility, content, and conversion

Restructuring content, messaging, and buyer journeys so organisations are visible, credible, and competitive in AI-driven discovery and evaluation.

→ Accelerate visibility and conversion

Modernise digital and buyer experiences

Rebuilding key digital surfaces and journeys so they support trust, intent, and decision-making — not just traffic or engagement.

→ Digital experience modernisation

Lead AI change with confidence

Supporting leadership teams with AI strategy, operating models, workshops, advisory, and fractional support — helping boards and executives make informed decisions as AI reshapes buying behaviour.

→ Lead with AI

We often hear: "I think our agency already does that." Here's where the difference lies.

Agencies optimise channels and outputs. They are effective at execution, but rarely accountable for how the whole commercial system performs.

Consultancies diagnose and recommend. They provide clarity, but often leave execution fragmented or dependent on others.

Fractional leaders add senior capacity, but still inherit broken systems and legacy constraints.

Graph operates differently. We work at the system level, combining senior judgement with AI-powered analysis to fix the underlying structures modern buying decisions depend on — across visibility, evaluation, conversion, and go-to-market (GTM) execution — directly impacting pipeline quality and revenue growth.

The goal isn't more activity. It's commercial confidence that holds up when buying decisions are made without you in the room.

We partner with complex B2B organisations that already have strong products, expertise, and market presence — but need their commercial systems to keep up with how buying now works.

Primary sectors include:

• Manufacturing
• Advanced materials
• Chemicals
• Industrial & automation
• Energy & renewables
• Medical device manufacturing
• Financial services & capital markets

These environments share high complexity, long buying cycles, and increasing pressure from AI-driven evaluation.

Our work has helped organisations modernise their commercial systems and perform in AI-driven markets, including:

• +50% growth in new users and +440% conversion uplift for an advanced materials leader
• Multi-year revenue growth for global manufacturing and industrial organisations
• Enterprise-scale AI deployments cited in 2025 AI and marketing research

Every engagement is measured against commercial outcomes — not activity or deliverables.

Stefan Finch has 25 years' experience helping organisations make sense of growth, go-to-market, and technology change — usually around a whiteboard, working directly with leadership teams.

He started his career as an engineer, went on to serve as CTO three times, and has held multiple board-level roles. Across that time, his work has consistently focused on one problem: how complex organisations turn technology and data into real commercial advantage.

Stefan has advised and worked with organisations including AEG, Graham & Brown, Philips, Victrex and ICAP, supporting growth strategy, digital transformation, and large-scale change in regulated, high-complexity environments.

He has also worked closely with Microsoft on enterprise AI adoption. In one Fortune 500 engagement, a team led by Stefan transformed 1.9 petabytes of business data (60 million files) into searchable, retrieval-ready intelligence, delivered directly through Microsoft Teams, saving $2.2m annually. This was back in 2019, well before AI went mainstream.

That experience — long before AI was "cool" — underpins Graph's focus on AI and growth today. As buying behaviour continues to shift towards AI-driven evaluation, the same system-level thinking becomes essential for modern organisations to remain visible, credible, and competitive.

Today, Stefan leads Graph, working closely with commercial, marketing, digital, and executive leaders to advise on how they adapt to and compete in AI-driven markets with clarity and confidence.

→ stefanfinch.com

Further reading

• How AI-driven buying is changing B2B markets
• How teams reorganise when people and agents work together

Graph is a compact, senior team of commercial strategists, growth specialists, designers, engineers, and analysts working directly on client outcomes.

Our work spans:

• Go-to-market and growth strategy
• Content, visibility, and conversion optimisation (CRO, AEO, GEO, SEO)
• Digital experience and buyer journey design
• Data, integration, and analytics
• AI engineering and automation

No hand-offs. No junior delivery layers. Just experienced operators focused on what actually moves the commercial needle.