Use AI to improve marketing performance — not to create more software clutter.
Graeme combines senior marketing judgement with modern AI-powered execution to improve response, follow-up, reporting and workflow efficiency.

Automate the work that should not need human repetition.
AI is useful when it improves a real process or commercial result. It should not replace judgement, positioning or accountability.
Lead handling
Faster enquiry response, routing, qualification and missed-lead recovery.
CRM workflows
Automated follow-up, reminders, nurturing and stage management.
Content systems
Research, repurposing and production workflows with human oversight.
Reporting
Reduce manual reporting and surface the numbers that need decisions.
Start with the process. Then decide where AI belongs.
Map the workflow
Identify repetitive work, delays, handoffs and lead leakage.
Prioritise value
Focus on changes that save meaningful time, improve conversion or reduce risk.
Implement
Use the right mix of CRM, automation, AI tools and integrations.
Measure
Check whether the workflow is actually improving performance.
Use technology where it removes friction.
Lead handling with human oversight
Created structured outreach, qualification and follow-up workflows around a defined prospect journey.
Kept personalisation and human judgement in the process so communication stayed relevant.
Lead management became more efficient and consistent without turning the customer journey into a generic sequence.
Respond, qualify and hand over
Enquiries arrive while the team is busy, after hours or across several channels.
Automatic acknowledgement, relevant qualifying questions and CRM routing to the right person, with the customer’s context attached.
Time to first response, enquiries contacted and appointments booked.
Turn reporting into decisions
Campaign, website and sales information sits in separate systems and takes time to assemble.
A reporting workflow that brings agreed data together, flags changes and prepares a summary for human review.
Reporting time saved, data completeness and visibility from enquiry to sale.
You do not need an “AI transformation”. You need useful improvements.
The role is not to turn your business into an AI startup. It is to identify practical applications inside marketing and the customer journey, implement what makes commercial sense and leave the rest alone.