Turn your AI strategy into a working marketing operating system.
We help marketing leaders design, build and deploy the workflows, governance, technology and measurement required to move from scattered pilots to repeatable commercial impact.
Book a free consultationTypical engagement focus
Most organisations do not have an AI tools problem. They have an operating model problem.
Technology is being adopted faster than teams can redesign processes, define accountability or prove business value. AI MOS closes that gap.
Disconnected tools
Multiple platforms, overlapping capability and no clear architecture.
Unclear ownership
No agreement on who designs, approves, monitors and improves AI workflows.
Weak commercial proof
Activity is measured, but contribution to growth, efficiency and revenue is unclear.
A structured transformation from assessment to scale.
Map current capability, technology, workflows and governance. Score opportunities by commercial impact, effort and risk.
Define target workflows, roles, human review, data requirements, policies and success measures.
Implement priority workflows, configure tools, create prompt and asset systems, and establish controls.
Train teams, measure outcomes, improve adoption and extend successful patterns across marketing.
From high-value workflows to enterprise-wide capability.
- AI opportunity and maturity assessment
- Content operations and campaign workflows
- Market intelligence and customer insight systems
- GTM planning and synthetic audience testing
- Lead management and RevOps automation
- Prompt libraries, agent patterns and asset standards
- Governance, risk and human-review frameworks
- Measurement dashboards and value tracking
The result is a system your team can run.
Reduce avoidable manual work and shorten campaign cycles.
Standardise prompts, assets, review and decision-making.
Make governance part of the workflow, not a final check.
Connect AI use to efficiency, pipeline, revenue and customer outcomes.
Start with the scope that fits your ambition.
- 30-day diagnostic: assess capability and produce the transformation roadmap
- Priority workflow build: design and deploy one or more high-value workflows
- Six-week implementation: establish the core AI Marketing Operating System
- Enterprise transformation: multi-team operating model, governance and scale
- Enablement retainer: ongoing optimisation, coaching and implementation support
Bring your current AI activity, priorities and constraints.
We will identify where value is being lost, which opportunities deserve attention and what the first phase should include.
Book a consultationCommon questions
Do you work with our existing technology?
Yes. We begin with your current stack and only recommend changes where they materially improve the operating model, economics or risk profile.
Can you support a single workflow rather than a full transformation?
Yes. Many engagements start with one high-value use case, prove the model and then scale.
How long does implementation take?
A focused diagnostic can be completed in 30 days. Workflow builds and broader operating model engagements typically run from six weeks to several months depending on scale.
Who needs to be involved?
Usually the marketing sponsor, marketing operations, relevant channel or functional owners, data/technology stakeholders and a governance or legal representative.
Move from AI experimentation to operational advantage.
Book a consultation to define the right first phase.