The AI Rollout en Copyright 2026 Marketecture Media Hosted by the team at wordPower, the AI consultants, this is a show about this is a show about what AI actually looks like inside real organizations. Each episode features a different practitioner — a builder, a buyer, an operator, a skeptic — walking through one AI project they've worked on, from the original problem through to the first attempts that fell flat, the version that finally worked, and the lessons that came out of it. You'll hear from the operator who automated their own job, the team lead whose workflow shifted overnight, the manager who quietly killed a project that wasn't going anywhere, and the buyer who learned to cut through the marketing on "AI-powered" tools. Honest, specific stories from the people making AI useful where they work. Interested in sponsoring the show? Contact ⁠Marketecture Media.⁠ https://megaphone.imgix.net/podcasts/74e53170-7a19-11f1-ac92-7713375164a8/image/2eb02eb6044078dbf30c4ba4f72006bf.png?ixlib=rails-4.3.1&max-w=3000&max-h=3000&fit=crop&auto=format,compress The AI Rollout episodic Tom Riordan Hosted by the team at wordPower, the AI consultants, this is a show about this is a show about what AI actually looks like inside real organizations. Each episode features a different practitioner — a builder, a buyer, an operator, a skeptic — walking through one AI project they've worked on, from the original problem through to the first attempts that fell flat, the version that finally worked, and the lessons that came out of it. You'll hear from the operator who automated their own job, the team lead whose workflow shifted overnight, the manager who quietly killed a project that wasn't going anywhere, and the buyer who learned to cut through the marketing on "AI-powered" tools. Honest, specific stories from the people making AI useful where they work. Interested in sponsoring the show? Contact ⁠Marketecture Media.⁠ Hosted by the team at wordPower, the AI consultants, this is a show about this is a show about what AI actually looks like inside real organizations.


Each episode features a different practitioner — a builder, a buyer, an operator, a skeptic — walking through one AI project they've worked on, from the original problem through to the first attempts that fell flat, the version that finally worked, and the lessons that came out of it. You'll hear from the operator who automated their own job, the team lead whose workflow shifted overnight, the manager who quietly killed a project that wasn't going anywhere, and the buyer who learned to cut through the marketing on "AI-powered" tools.

Honest, specific stories from the people making AI useful where they work.

Interested in sponsoring the show? Contact ⁠Marketecture Media.⁠


]]> Tom Riordon tom@wordpower.ai The AI Rollout: Building an AI-First Customer Success Team with Tony Rafetto Daf Dent, Co-Founder of wordPower, sits down with Tony Rafetto, Director of Strategic Accounts at Limy.ai, to talk about what it looks like to build a customer success team with AI baked in from day one. Tony shares how his team is using Claude across the business to move faster, create better customer reporting, and test what clients actually need before building it into the product. They also get into why context matters so much, where AI can still go wrong, and why workflows that failed a few months ago may be worth trying again now. Takeaways - AI helps small teams create documentation, reports, and customer resources much faster. - Connecting AI to customer context makes its outputs significantly more useful. - AI-powered custom reports can help teams test customer needs before building new product features. - Strong AI results still depend on human expertise and accurate context. - Teams should revisit AI workflows regularly as models and capabilities continue improving.    Chapters 00:00 Why Context Matters for AI 00:36 Welcome to The AI Rollout 00:55 Meet Tony Raffetto of Limei.ai 01:18 What Limei.ai Does and the Rise of AI Visibility 03:12 Moving From AppsFlyer Into the AI Industry 04:34 Why GEO and AI Search Keep Changing 06:33 Building Customer Success From Scratch 08:41 Tony’s AI Stack and Connected Workflows 10:20 Using Claude Design for Presentations 13:20 Challenges of Rolling AI Out Across a Team 15:38 Building AI-Powered Executive Reporting 19:33 Turning Custom Reports Into Product Insights 22:11 Using AI Beyond the Workplace 23:36 Why Context Makes AI More Powerful 26:09 Advice for Building an AI-First Team 28:07 Encouraging AI Adoption Across Teams 29:25 Closing Thoughts Mon, 12 Oct 2026 14:59:00 -0000 full Tom Riordan Daf Dent, Co-Founder of wordPower, sits down with Tony Rafetto, Director of Strategic Accounts at Limy.ai, to talk about what it looks like to build a customer success team with AI baked in from day one. Tony shares how his team is using Claude across the business to move faster, create better customer reporting, and test what clients actually need before building it into the product. They also get into why context matters so much, where AI can still go wrong, and why workflows that failed a few months ago may be worth trying again now. Takeaways - AI helps small teams create documentation, reports, and customer resources much faster. - Connecting AI to customer context makes its outputs significantly more useful. - AI-powered custom reports can help teams test customer needs before building new product features. - Strong AI results still depend on human expertise and accurate context. - Teams should revisit AI workflows regularly as models and capabilities continue improving.    Chapters 00:00 Why Context Matters for AI 00:36 Welcome to The AI Rollout 00:55 Meet Tony Raffetto of Limei.ai 01:18 What Limei.ai Does and the Rise of AI Visibility 03:12 Moving From AppsFlyer Into the AI Industry 04:34 Why GEO and AI Search Keep Changing 06:33 Building Customer Success From Scratch 08:41 Tony’s AI Stack and Connected Workflows 10:20 Using Claude Design for Presentations 13:20 Challenges of Rolling AI Out Across a Team 15:38 Building AI-Powered Executive Reporting 19:33 Turning Custom Reports Into Product Insights 22:11 Using AI Beyond the Workplace 23:36 Why Context Makes AI More Powerful 26:09 Advice for Building an AI-First Team 28:07 Encouraging AI Adoption Across Teams 29:25 Closing Thoughts Daf Dent, Co-Founder of wordPower, sits down with Tony Rafetto, Director of Strategic Accounts at Limy.ai, to talk about what it looks like to build a customer success team with AI baked in from day one. Tony shares how his team is using Claude across the business to move faster, create better customer reporting, and test what clients actually need before building it into the product. They also get into why context matters so much, where AI can still go wrong, and why workflows that failed a few months ago may be worth trying again now.

Takeaways

- AI helps small teams create documentation, reports, and customer resources much faster.

- Connecting AI to customer context makes its outputs significantly more useful.

- AI-powered custom reports can help teams test customer needs before building new product features.

- Strong AI results still depend on human expertise and accurate context.

- Teams should revisit AI workflows regularly as models and capabilities continue improving.   

Chapters

00:00 Why Context Matters for AI

00:36 Welcome to The AI Rollout

00:55 Meet Tony Raffetto of Limei.ai

01:18 What Limei.ai Does and the Rise of AI Visibility

03:12 Moving From AppsFlyer Into the AI Industry

04:34 Why GEO and AI Search Keep Changing

06:33 Building Customer Success From Scratch

08:41 Tony’s AI Stack and Connected Workflows

10:20 Using Claude Design for Presentations

13:20 Challenges of Rolling AI Out Across a Team

15:38 Building AI-Powered Executive Reporting

19:33 Turning Custom Reports Into Product Insights

22:11 Using AI Beyond the Workplace

23:36 Why Context Makes AI More Powerful

26:09 Advice for Building an AI-First Team

28:07 Encouraging AI Adoption Across Teams

29:25 Closing Thoughts


]]> 1817 no The AI Rollout: The Hidden Work Behind AI Agents with Andrew Spurrier-Dawes Building an AI agent is just the beginning. Hosts Tom Riordan and Dafydd Dent welcome Andrew Spurrier-Dawes, Data Strategy Lead at MAP, part of WPP Enterprise Solutions, to explore what successful AI implementation requires. Andrew shares lessons from building an RFP agent, including managing hallucinations, maintaining systems, and protecting the human expertise needed to check AI’s work. Takeaways: - Start with a business problem and a clear purpose. - Plan for agent maintenance, ownership, and retirement. - Clean data and local knowledge improve AI outputs. - Faster responses cannot replace subject matter expertise. - Keep developing the people who verify AI’s work. Chapters: 00:00 Why are you building an AI agent? 00:24 Meet the hosts and Andrew Spurrier-Dawes 01:27 Inside MAP and WPP Enterprise Solutions 03:53 How generative AI changed the work 05:04 What businesses need before building agents 07:19 Agent maintenance and lifecycle costs 09:01 Why AI cannot solve every human problem 10:20 Local knowledge and the risk of polished outputs 13:36 Building an RFP agent: benefits and challenges 16:36 The impact on employee learning and team roles 18:51 Inside WPP’s AI tools and research workflows 21:18 Why application matters more than model choice 24:04 How different data sets could shape AI’s future 25:17 Advice for your next AI rollout Mon, 14 Sep 2026 04:00:00 -0000 full Tom Riordan Building an AI agent is just the beginning. Hosts Tom Riordan and Dafydd Dent welcome Andrew Spurrier-Dawes, Data Strategy Lead at MAP, part of WPP Enterprise Solutions, to explore what successful AI implementation requires. Andrew shares lessons from building an RFP agent, including managing hallucinations, maintaining systems, and protecting the human expertise needed to check AI’s work. Takeaways: - Start with a business problem and a clear purpose. - Plan for agent maintenance, ownership, and retirement. - Clean data and local knowledge improve AI outputs. - Faster responses cannot replace subject matter expertise. - Keep developing the people who verify AI’s work. Chapters: 00:00 Why are you building an AI agent? 00:24 Meet the hosts and Andrew Spurrier-Dawes 01:27 Inside MAP and WPP Enterprise Solutions 03:53 How generative AI changed the work 05:04 What businesses need before building agents 07:19 Agent maintenance and lifecycle costs 09:01 Why AI cannot solve every human problem 10:20 Local knowledge and the risk of polished outputs 13:36 Building an RFP agent: benefits and challenges 16:36 The impact on employee learning and team roles 18:51 Inside WPP’s AI tools and research workflows 21:18 Why application matters more than model choice 24:04 How different data sets could shape AI’s future 25:17 Advice for your next AI rollout Building an AI agent is just the beginning. Hosts Tom Riordan and Dafydd Dent welcome Andrew Spurrier-Dawes, Data Strategy Lead at MAP, part of WPP Enterprise Solutions, to explore what successful AI implementation requires. Andrew shares lessons from building an RFP agent, including managing hallucinations, maintaining systems, and protecting the human expertise needed to check AI’s work.

Takeaways:

- Start with a business problem and a clear purpose.

- Plan for agent maintenance, ownership, and retirement.

- Clean data and local knowledge improve AI outputs.

- Faster responses cannot replace subject matter expertise.

- Keep developing the people who verify AI’s work.

Chapters:

00:00 Why are you building an AI agent?

00:24 Meet the hosts and Andrew Spurrier-Dawes

01:27 Inside MAP and WPP Enterprise Solutions

03:53 How generative AI changed the work

05:04 What businesses need before building agents

07:19 Agent maintenance and lifecycle costs

09:01 Why AI cannot solve every human problem

10:20 Local knowledge and the risk of polished outputs

13:36 Building an RFP agent: benefits and challenges

16:36 The impact on employee learning and team roles

18:51 Inside WPP’s AI tools and research workflows

21:18 Why application matters more than model choice

24:04 How different data sets could shape AI’s future

25:17 Advice for your next AI rollout



]]> 1590 no The AI Rollout: Aziza Jaja, Co-founder of AI Sol Circle, on Strategies to Simplify your AI Rollout Aziza Jaja, Head of Marketing at Naboso Technology and Co-Founder of AI Sol Circle, joins hosts Tom Riordan and Daf Dent, Founders of wordPower, to share how she uses AI to create real business leverage while keeping the tech stack simple. She breaks down her AIM framework: Assess, Integrate, Measure, and shares practical examples across content creation, landing pages, customer journeys, and team planning. Takeaways: - Use the AIM framework: Assess the constraint, Integrate the right tool, and Measure the result. - Start with one bottleneck: Don’t attempt to automate everything at once. - Keep your AI stack simple: Get more from existing tools before adding specialized platforms. - Give AI enough context: Strong outputs depend on accurate information, thoughtful planning, and iteration. - Measure business impact: Look at time saved, incremental revenue, conversions, and other tangible outcomes. - Combine AI with human expertise: AI can accelerate execution, but human judgment remains.Chapters 00:00 The AIM Framework: Assess, Integrate, Measure 00:21 Meet Aziza Jaja 01:35 Bringing AI Into a Lean Organization 03:17 Building an AI-First Way of Working 04:39 Balancing AI Experimentation With the Day Job 06:06 How Aziza Keeps Up With AI 07:02 Building the AI Soul Circle Community 09:08 Upskilling and Becoming AI Certified 11:49 Why AI Communities Matter 13:31 How Much Time Should You Spend Learning AI? 14:00 Breaking Down the AIM Framework 15:14 Turning Long-Form Content Into Ad Creative 16:42 Testing ChatGPT for Content Production 18:32 Build With Existing AI Tools or Buy New Software? 19:10 Inside Aziza’s AI Tech Stack 21:00 Using AI Across the Team 21:20 What AI Got Wrong on a Landing Page 23:06 AI for Customer Journey Audits 24:08 Finding Team and Resource Gaps With AI 26:08 The One AI Step Operators Should Take This Week 27:48 How to Measure Whether AI Is Working 29:34 Where to Find Aziza Jaja and AI Soul Circle Mon, 17 Aug 2026 04:00:00 -0000 full Tom Riordan Aziza Jaja, Head of Marketing at Naboso Technology and Co-Founder of AI Sol Circle, joins hosts Tom Riordan and Daf Dent, Founders of wordPower, to share how she uses AI to create real business leverage while keeping the tech stack simple. She breaks down her AIM framework: Assess, Integrate, Measure, and shares practical examples across content creation, landing pages, customer journeys, and team planning. Takeaways: - Use the AIM framework: Assess the constraint, Integrate the right tool, and Measure the result. - Start with one bottleneck: Don’t attempt to automate everything at once. - Keep your AI stack simple: Get more from existing tools before adding specialized platforms. - Give AI enough context: Strong outputs depend on accurate information, thoughtful planning, and iteration. - Measure business impact: Look at time saved, incremental revenue, conversions, and other tangible outcomes. - Combine AI with human expertise: AI can accelerate execution, but human judgment remains.Chapters 00:00 The AIM Framework: Assess, Integrate, Measure 00:21 Meet Aziza Jaja 01:35 Bringing AI Into a Lean Organization 03:17 Building an AI-First Way of Working 04:39 Balancing AI Experimentation With the Day Job 06:06 How Aziza Keeps Up With AI 07:02 Building the AI Soul Circle Community 09:08 Upskilling and Becoming AI Certified 11:49 Why AI Communities Matter 13:31 How Much Time Should You Spend Learning AI? 14:00 Breaking Down the AIM Framework 15:14 Turning Long-Form Content Into Ad Creative 16:42 Testing ChatGPT for Content Production 18:32 Build With Existing AI Tools or Buy New Software? 19:10 Inside Aziza’s AI Tech Stack 21:00 Using AI Across the Team 21:20 What AI Got Wrong on a Landing Page 23:06 AI for Customer Journey Audits 24:08 Finding Team and Resource Gaps With AI 26:08 The One AI Step Operators Should Take This Week 27:48 How to Measure Whether AI Is Working 29:34 Where to Find Aziza Jaja and AI Soul Circle Aziza Jaja, Head of Marketing at Naboso Technology and Co-Founder of AI Sol Circle, joins hosts Tom Riordan and Daf Dent, Founders of wordPower, to share how she uses AI to create real business leverage while keeping the tech stack simple. She breaks down her AIM framework: Assess, Integrate, Measure, and shares practical examples across content creation, landing pages, customer journeys, and team planning.

Takeaways:

- Use the AIM framework: Assess the constraint, Integrate the right tool, and Measure the result. - Start with one bottleneck: Don’t attempt to automate everything at once.

- Keep your AI stack simple: Get more from existing tools before adding specialized platforms.

- Give AI enough context: Strong outputs depend on accurate information, thoughtful planning, and iteration.

- Measure business impact: Look at time saved, incremental revenue, conversions, and other tangible outcomes.

- Combine AI with human expertise: AI can accelerate execution, but human judgment remains.
Chapters

00:00 The AIM Framework: Assess, Integrate, Measure

00:21 Meet Aziza Jaja

01:35 Bringing AI Into a Lean Organization

03:17 Building an AI-First Way of Working

04:39 Balancing AI Experimentation With the Day Job

06:06 How Aziza Keeps Up With AI

07:02 Building the AI Soul Circle Community

09:08 Upskilling and Becoming AI Certified

11:49 Why AI Communities Matter

13:31 How Much Time Should You Spend Learning AI?

14:00 Breaking Down the AIM Framework

15:14 Turning Long-Form Content Into Ad Creative

16:42 Testing ChatGPT for Content Production

18:32 Build With Existing AI Tools or Buy New Software?

19:10 Inside Aziza’s AI Tech Stack

21:00 Using AI Across the Team

21:20 What AI Got Wrong on a Landing Page

23:06 AI for Customer Journey Audits

24:08 Finding Team and Resource Gaps With AI

26:08 The One AI Step Operators Should Take This Week

27:48 How to Measure Whether AI Is Working

29:34 Where to Find Aziza Jaja and AI Soul Circle


]]> 1847 no The AI Rollout: Emily Holiday, Partner at Human Agency, on Leading Successful Enterprise AI Adoption Team at wordPower, the AI consultants, this is a show about In the debut episode of The AI Rollout, hosts Tom Riordan and Daf Dent, Founders of wordPower, welcome Emily Holiday, Partner at Human Agency, to discuss what successful AI implementation really looks like inside organizations. Emily shares practical lessons from helping companies ranging from nonprofits to global enterprises adopt AI, covering change management, AI governance, enterprise policies, measuring ROI, security considerations, and how leaders can build a culture of AI adoption that actually delivers business value. Takeaways Why AI adoption is more about people and change management than technology. The importance of creating an enterprise AI policy before employees create their own. How organizations can measure real AI ROI instead of focusing on token usage. Why curiosity and experimentation are the biggest competitive advantages in AI adoption. Practical advice for scaling AI across teams while maintaining security and governance. Chapters 00:00 Introduction to AI Rollout & Meet Emily Holiday 01:00 Emily's Role at Human Agency 02:20 AI Rollouts from Nonprofits to Global Enterprises 04:35 Becoming an AI Expert Through Curiosity 06:40 Should Companies Bring in AI Consultants? 10:25 Using AI Connectors, Knowledge Management & Daily Briefs 13:00 AI Adoption Across Small vs. Large Organizations 14:00 AI Governance, Security & Enterprise Policies 20:25 Getting Employees Excited About AI 22:55 Common AI Rollout Mistakes to Avoid 26:15 Practical AI Prompting & QA Workflows 28:40 How AI Change Management Differs from Traditional Technology 30:55 Building AI Champions Inside Organizations 34:10 Measuring AI ROI That Actually Matters 38:10 Emily's One Piece of Advice for Every AI Leader 39:20 Where to Connect with Emily Holiday Thu, 23 Jul 2026 04:00:00 -0000 full 1 Tom Riordan Team at wordPower, the AI consultants, this is a show about In the debut episode of The AI Rollout, hosts Tom Riordan and Daf Dent, Founders of wordPower, welcome Emily Holiday, Partner at Human Agency, to discuss what successful AI implementation really looks like inside organizations. Emily shares practical lessons from helping companies ranging from nonprofits to global enterprises adopt AI, covering change management, AI governance, enterprise policies, measuring ROI, security considerations, and how leaders can build a culture of AI adoption that actually delivers business value. Takeaways Why AI adoption is more about people and change management than technology. The importance of creating an enterprise AI policy before employees create their own. How organizations can measure real AI ROI instead of focusing on token usage. Why curiosity and experimentation are the biggest competitive advantages in AI adoption. Practical advice for scaling AI across teams while maintaining security and governance. Chapters 00:00 Introduction to AI Rollout & Meet Emily Holiday 01:00 Emily's Role at Human Agency 02:20 AI Rollouts from Nonprofits to Global Enterprises 04:35 Becoming an AI Expert Through Curiosity 06:40 Should Companies Bring in AI Consultants? 10:25 Using AI Connectors, Knowledge Management & Daily Briefs 13:00 AI Adoption Across Small vs. Large Organizations 14:00 AI Governance, Security & Enterprise Policies 20:25 Getting Employees Excited About AI 22:55 Common AI Rollout Mistakes to Avoid 26:15 Practical AI Prompting & QA Workflows 28:40 How AI Change Management Differs from Traditional Technology 30:55 Building AI Champions Inside Organizations 34:10 Measuring AI ROI That Actually Matters 38:10 Emily's One Piece of Advice for Every AI Leader 39:20 Where to Connect with Emily Holiday Team at wordPower, the AI consultants, this is a show about In the debut episode of The AI Rollout, hosts Tom Riordan and Daf Dent, Founders of wordPower, welcome Emily Holiday, Partner at Human Agency, to discuss what successful AI implementation really looks like inside organizations.

Emily shares practical lessons from helping companies ranging from nonprofits to global enterprises adopt AI, covering change management, AI governance, enterprise policies, measuring ROI, security considerations, and how leaders can build a culture of AI adoption that actually delivers business value.

Takeaways

  • Why AI adoption is more about people and change management than technology.

  • The importance of creating an enterprise AI policy before employees create their own.

  • How organizations can measure real AI ROI instead of focusing on token usage.

  • Why curiosity and experimentation are the biggest competitive advantages in AI adoption.

  • Practical advice for scaling AI across teams while maintaining security and governance.

Chapters

00:00 Introduction to AI Rollout & Meet Emily Holiday

01:00 Emily's Role at Human Agency

02:20 AI Rollouts from Nonprofits to Global Enterprises

04:35 Becoming an AI Expert Through Curiosity

06:40 Should Companies Bring in AI Consultants?

10:25 Using AI Connectors, Knowledge Management & Daily Briefs

13:00 AI Adoption Across Small vs. Large Organizations

14:00 AI Governance, Security & Enterprise Policies

20:25 Getting Employees Excited About AI

22:55 Common AI Rollout Mistakes to Avoid

26:15 Practical AI Prompting & QA Workflows

28:40 How AI Change Management Differs from Traditional Technology

30:55 Building AI Champions Inside Organizations

34:10 Measuring AI ROI That Actually Matters

38:10 Emily's One Piece of Advice for Every AI Leader

39:20 Where to Connect with Emily Holiday


]]> 2351 no AI Rollout Episode 1: Emily Holiday on Why 95% of AI Projects Fail to Deliver ROI Episode 1 of AI Rollout is almost here. Emily Holiday, Partner at Human Agency, shares practical insights on why most AI initiatives fail to generate measurable ROI, how to identify the best opportunities for automation, and why starting with a simple AI policy can help organizations adopt AI more effectively. Stay tuned for the full episode. Wed, 22 Jul 2026 20:58:00 -0000 full Tom Riordan Episode 1 of AI Rollout is almost here. Emily Holiday, Partner at Human Agency, shares practical insights on why most AI initiatives fail to generate measurable ROI, how to identify the best opportunities for automation, and why starting with a simple AI policy can help organizations adopt AI more effectively. Stay tuned for the full episode. Episode 1 of AI Rollout is almost here.

Emily Holiday, Partner at Human Agency, shares practical insights on why most AI initiatives fail to generate measurable ROI, how to identify the best opportunities for automation, and why starting with a simple AI policy can help organizations adopt AI more effectively.

Stay tuned for the full episode.


]]> 67 no