AI Transformation

​Do you remember janky AI videos? Images with distorted hands and unusable outputs?  AI voice that sounded synthetic, flat and clearly non-human? I do and that was only a couple of years ago. 

 

We have come along way. Today, products like Sora, Runway Gen‑4 and Kling V3 can all broadcast‑quality video outputs in minutes. ElevenLabs and OpenAI Voice Engine are now often indistinguishable from real human recordings. And Image generation has followed the same curve, producing pixel‑perfect product imagery at a fraction of the cost of agency production.

 

This isn’t slowing down. It’s accelerating. 
 

What This Means for Marketing? It's an opportunity. 

 

I know there are still marketers that are stuck and floundering with the “why AI?” question and are not focused on “how do we operationalise it?” They need to lean in. I have always coordinated complexity and this is nothing different. From strategy and positioning; creative direction; team management; multichannel execution and measurement optimisation and reporting - AI is now touching every one of these layers.

I am no longer using AI as a novelty or “content helper.” I'm embedding it directly into day‑to‑day operations, planning and my decision‑making. I am now an orchestrator of intelligent systems. I set the direction, guardrails and intent, while AI handles scale, speed and optimisation. I implement AI directly into business and marketing strategy. 

 

How I use AI

 

I don’t use it as a single tool. I work with a coordinated team of AI agents designed to increase my output while reducing load.

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Each agent has a defined role: content foundations, strategy analysis, creative exploration, performance insight, workflow and operational support, data analysis, Reputational Risk, Brand Governance and Competitor and Market insight. I also have a Red Agent that is used to critique my work and outputs to spot gaps and inconsistencies.

 

Together, they function like a virtual marketing team, allowing me to:
 

• Focus my time on direction, alignment, and impact

• Explore more ideas without burnout, testing more variations without friction

• Make decisions based on signal, not instinct alone

• Build ​strategy by analysing market data, customer behaviour and performance signals faster than a human team

• Signal creative direction by generating, testing, and optimising concepts across channels in real time

• Produce assets, write copy, deploy and integrate campaigns at speed and scale

 

This mirrors what leading marketing organisations are doing at scale: building connected AI systems, not isolated prompts.

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AI is now infrastructure. 

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My AI Set Up

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• ChatGPT: A Team of AI agents deployed across multiple variables for assistance

• Jasper: Content creation support

• Co-Pilot: Co-pilot support for Microsoft Office suite documents

• Google Gemini: Co-pilot support for Google suite documents

• Claude: Coding, data scraping, spreadsheet management, SEO reports and website wireframe creation

• Perplexity: LinkedIn and social media post creation

• Granola: Meeting note taking and summarisation 

• Artlist.io: Image and video creation, 

• Nano Banana: Image and video creation. Storyboarding. 

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​This doesn't replace a human team - it empowers one.  

 

My focus is ensuring:
 

• I understand where AI genuinely adds value

• I know how to apply it intelligently and responsibly

• I can advise the business I work for on how to pivot, adapt, and compete

• I maximise output while minimising wasted effort

• Better systems. Better judgement. Better outcomes.

This is how modern marketing leadership is evolving.

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This allows me to spend less time on manual execution and more time on judgement, prioritisation, and stakeholder alignment. It does the repetitive heavy lifting that previously sucked the life out of marketing teams, meaning we can get more meaningful work done. 

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Am I AI-first? No. I am an AI native user who uses it where and when it makes sense. Not as a short cut. I choose to accept and position myself as a progressive, practical applier of AI in marketing, not a spectator or commentator.

 

Quality control is critical and there always needs to be a human in the loop. AI cannot replace judgement calls, taste, context, client and internal relationships.  The human layer still matters - its just changing.

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