AI opportunity and readiness audit
A structured inventory of workflows, data, team readiness and the most credible opportunities to pursue.
AI consultancy
I help marketing teams, founders and operators find worthwhile AI opportunities, build the business case and turn the strongest workflow into a system people can trust and use.
A practical implementation process
The output is not an abstract AI strategy. Each stage reduces uncertainty and moves a real workflow towards a measurable, maintainable implementation.
Map the repeated work, data sources, hand-offs and decisions that currently slow the team down.
Estimate time, tool, error and opportunity costs before recommending an implementation.
Score opportunities by value, feasibility, readiness and risk, then choose the right first pilot.
Create the workflow, dashboard, agent or internal tool against clear acceptance criteria.
Train the people who will use it and document the prompts, checks, ownership and escalation path.
Measure adoption and output quality, then refine the workflow as the business and tools change.
Ways to work together
Training, advice and implementation can stand alone or form one adoption programme.
A structured inventory of workflows, data, team readiness and the most credible opportunities to pursue.
A focused build around one repeated reporting, research, content, campaign or customer workflow.
Bring search, campaign, competitor and customer signals into a decision-ready dashboard or reporting layer.
Hands-on training using the team’s real documents, reporting tasks and processes rather than generic demos.
Organise the context, sources and instructions agents need to produce reliable work for your business.
Monthly support for prioritisation, governance, workflow improvement and new implementation decisions.
Marketing intelligence, not AI theatre
The RACE framework keeps the conversation grounded in customers, decisions and measurable outcomes rather than tools for their own sake.
Research, market signals, SEO, GEO and competitor monitoring.
Content journeys, on-site tools, lead qualification and audience insight.
Sales enablement, proposal workflows, campaign analysis and commercial reporting.
Customer intelligence, retention, reviews, email and service workflows.
We will map it, test whether AI is appropriate and decide what a sensible first version looks like.