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AI & Automation

AI & Automation

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.

Commercial use cases

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.

01

Lead handling

Faster enquiry response, routing, qualification and missed-lead recovery.

02

CRM workflows

Automated follow-up, reminders, nurturing and stage management.

03

Content systems

Research, repurposing and production workflows with human oversight.

04

Reporting

Reduce manual reporting and surface the numbers that need decisions.

Approach

Start with the process. Then decide where AI belongs.

01

Map the workflow

Identify repetitive work, delays, handoffs and lead leakage.

02

Prioritise value

Focus on changes that save meaningful time, improve conversion or reduce risk.

03

Implement

Use the right mix of CRM, automation, AI tools and integrations.

04

Measure

Check whether the workflow is actually improving performance.

Objection handling

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.

Next step

If AI could remove friction from your marketing, let’s identify where it is worth using.

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