Commercial expertise, AI engineering and behavioural change in one team.
We help ambitious marketing leaders combine commercial knowledge with applied AI to build agentic automation and the people-side change that makes it stick. Sprint by sprint.
Why Now
AI ambition is everywhere. Operating models haven't caught up.
The fundamentals haven't changed. AI doesn't fix a fragmented stack, a vague ICP or a marketing function that lives in silos. It amplifies them.
Four ways AI transformations stall:
Tools bought, data unreconciled
Licences arrive. Campaign, CRM and web data still live in separate systems with no shared join key.
Automation built on inconsistent data
Agents run on top of fragmented sources, so outputs vary, trust erodes, and adoption stalls.
Automation that doesn't improve over time
Once-off builds. No feedback loop, no benchmarking and no compounding return on the investment.
No clear link between AI and business impact
Productivity gains stay anecdotal. Nothing shows up in pipeline, conversion, or cost-to-serve.
Our Approach
Three disciplines. One team.
We don't sell AI tooling. We combine three disciplines that together build marketing functions that compound.
Commercial & marketing expertise
Our consultants have grown global B2B businesses. They speak commercial fluently. AI is the accelerant, not the answer.
Applied AI & agentic automation
We design agents that own clear areas of work, share governance, and improve every cycle. Connected systems, not isolated bots.
Behavioural change & enablement
Adoption is part of the build. We train the team as the system goes live. Capability grows in the flow of work.
Sprints, pilots, real campaigns.
No big-bang transformations. No twelve-month roadmaps before value lands. We run six-stage improvement cycles on live activity, small enough to ship, structured enough to compound.
Each cycle delivers a working simulation, measured time savings end-to-end, and a ranked, costed backlog of fixes for the next pass. Cycle two builds on cycle one. Cycle three runs ahead.
- Map data - understand what data exists and how it's used today.
- Infer process - reveal how work actually flows across campaigns.
- Test live - validate the model against live activity.
- Update agents - design automation aligned to real workflows.
- Simulate - run end-to-end execution before scaling.
- Hypotheses - focus on changes that drive speed and quality.
Map data as it actually exists. Test on live campaigns.
Improve what works. Scale what delivers.
Explore Further
AI Innovation Sprints
Structured sprints that build, test and deploy AI automation on live enterprise campaigns. Fast enough to prove value. Rigorous enough to scale.
Embed Growth
Additional ways to embed commercial capability and AI systems directly into your team. Build the skills, processes and infrastructure that make growth compound.
Activate Growth
Magnitude - our always-on AI intelligence platform. Monitors signals, surfaces opportunities and keeps your team ahead of the market, every cycle.
Marketing function designed for AI. Let's build yours.
A straight conversation, no pitch deck, no obligation.