Programmes
Three fixed-scope programmes for B2B marketing and leadership teams. Governance-first, EU AI Act aligned, no consultant lock-in.
Where are you today?
Most teams starting here land at Level 2 or 3.
Level 1
Individuals experimenting independently, no governance, no shared approach.
Level 2
Copilot or ChatGPT licensed, training done, results variable.
Level 3
A few good prompts in use, but no system, no governance, no customer grounding.
Level 4
Policy exists, shadow AI mapped, but no methodology producing consistently strong outputs.
Level 5
Customer-voice extraction, governance live, team independent, outputs measurably better.
The AI Governance Sprint gets you from wherever you are to Level 4 in 4 weeks.
Programmes
Fixed scope. Fixed price. No retainer required.
Tier 01
Best for: VP PMM or CMO who needs governance fast
Available on request
4 weeks · On-site or virtual
Tier 02
Best for: Head of PMM ready to build
Available on request
8-12 weeks · On-site or virtual
Tier 03
Best for: Senior PMM with a complex GTM motion
Available on request
3-6 months · Hybrid
Anatomy of an engagement
Three services and one optional extension. Every tier is a mix of these. The phases overlap on purpose. Enablement starts before the build finishes.
We look at how your team already uses AI. Then we pick, together, the three to five systems worth building first.
Marketing outcome
A backlog you can defend to your board and to legal, tied to real pipeline and throughput baselines.
Deliverables
We pick one bottleneck workflow. Content production, campaign research, launch narrative, sales enablement, whichever hurts most. Then we ship it as a working AI system your team runs.
Marketing outcome
A live system your team uses daily. Throughput and quality measured against the baseline you set in Week 1.
Deliverables
The system gets used across the whole team. Including the people who normally ignore new tools.
Marketing outcome
Adoption spread across every role. Metrics for adoption and quality visible on one dashboard leadership actually opens.
Deliverables
Ship the next system, or improve what's already live. Short sprints. No retainer, no dependency.
Marketing outcome: The backlog gets worked down. One system at a time.
How the weeks overlap
Which tier covers what
Every tier is a combination of the services above.
| Tier | Strategy | Build | Enablement | Follow-on |
|---|---|---|---|---|
| AI Governance Sprint (4w) | · | · | · | |
| AI GTM System (8-12w) | · | |||
| AI x PMM Partnership (3-6m) |
On proof
Client engagements are confidential by default. Reference customers are available on discovery calls.
The Cost of Waiting
Ungoverned teams waste time on ad-hoc use and miss the productivity gains a governed system would deliver.
Ad-hoc AI use wastes an average of 4 hours per person per week, plus the productivity gain you would have captured with a governed system.
Over a year
£156,000
Over five years
£780,000
Illustrative calculation based on typical unstructured AI use in B2B marketing teams. Actual figures vary by team and workflow.
Methodology
The Prompt. Refine. Deliver. Repeat. methodology. When AI projects fail, it's almost never the model. Usually it's a vague problem with no clear metric and nothing shipped.
We begin with one pain your team already feels. Maybe launches are dragging. Maybe research never leaves decks. In 60-90 minutes, we pick a single outcome with a board-visible metric, set the baseline, and frame the hypothesis: when we fix this, here's what will change and how we'll know.
Why you should care:
When you start with a specific pain and a metric, you're not buying "AI", you're buying a path to relieve something that already hurts.
Frequently Asked
Prompt injection is the number one OWASP LLM risk, and it is real. But the model side of it is well understood: OpenAI reports 99.5% mitigation on synthetic web injection attempts, and 99.9-100% on critical actions like financial data or personally identifiable information. The residual risk is not the AI, it is how companies configure access: giving AI tools access to everything instead of scoping, leaving documents shared openly in Drive or SharePoint, turning everything on for everyone with no policy. That is exactly what the governance framework prevents. The companies that get burned are the ones who turned AI on without thinking. Building the framework first is how you use AI confidently.
You own everything: the prompts, the custom GPTs, the governance framework, the documentation, the workflows. Every engagement is a co-build, not a delivery. Your team is trained to run and extend the systems themselves. There is no retainer requirement and no consultant lock-in. If you later hire an internal AI lead, they inherit a functioning system rather than starting from scratch.
Yes. The AI Governance Sprint is the smallest engagement: 4 weeks, focused on one team or one workflow, delivering a Shadow AI audit, risk map, governance framework, and 90-day roadmap. It is designed as the entry point for organisations that want to validate the approach before committing to a longer programme. When it pays off, the next piece funds itself.
Most clients see measurable productivity gains within the first two weeks of active engagement, before the formal programme completes. The AI Governance Sprint delivers a governance framework and roadmap in 4 weeks. The AI GTM System has working systems in production within 8-12 weeks. Every engagement is iterative: we build, test, refine, deploy. If a system does not work in practice, we iterate until it does.
Thirty minutes. No slides. We diagnose where you are, and decide together whether it makes sense to work together.
Book a discovery call→