Good morning leaders, this week Jonathan and I break down how to roll out an AI transformation, not just a load of tools or one LLM and let the business struggle with productivity.
So grab a coffee, your notebook and start taking notes on our 6 step process.
The Exec Summary
Most businesses are failing to realise the true potential of Artificial Intelligence because they treat it as a standard software deployment. Buying licences and encouraging staff to experiment leads to fragmented, tool-led frustration.
True AI transformation is fundamentally a business transformation that requires mapping existing workflows, surfacing hidden knowledge, and actively redesigning how your organisation creates value.
Listen to the pod on Spotify - Apple Podcasts - Amazon Music or on Pocketcasts.
The Key 6 Points Discussed
Why Current AI Efforts Fail:
Projects collapse when they lack senior executive ownership, become trapped in departmental silos, or get overly obsessed with choosing specific platforms rather than focusing on concrete business outcomes.Mapping Workflows and Hidden Knowledge:
The essential starting point is gathering teams to whiteboard existing processes. This includes identifying ‘unknown knowns’ informal, unwritten habits and critical knowledge trapped inside employees’ heads.The Four-Part Opportunity Map:
Once workflows are visualised, leaders must audit them through a precise lens, identifying exactly what tasks can be accelerated, optimised, fixed, or entirely removed.Setting Guardrails and Risk Frameworks:
Before launching experiments, organisations must categorise AI use cases by risk. Low-risk internal tasks require basic guidance, whereas high-risk agentic deployments demand rigorous senior human judgment.Forming Agile SWAT Teams:
Rather than imposing a top-down mandate, leaders should assign dedicated, cross-functional SWAT teams to manage specific AI initiatives and champion peer-to-peer training.The Phased Implementation Roadmap:
Transformation must follow a clear temporal sequence: the first 30 days are for mapping and building context, days 60 to 90 focus on targeted pilots and hackathons, and days 90 to 180 scale verified successes across the business.
A newsletter subscriber exclusive:
THE 6 STEP PROCESS
1. List and map out issues
2. Answer
What can be accelerated (built faster, less reliance)
What can be optimised (bottlenecks removed)
What can be fixed / improved
What can be removed
Map out
Training, workshop, hackathon - teams, departments, units and cross company
Risks
Benefits
Revenue lost / gain
Assign team members & owners
Run: Keep, Cure, Kill, Copy Audit: on what has been identified and ear marked
Package as Now, Next, Future plan not roadmap
Now - 30 days
Next - 60 to 90 days out
Future - Up to 180 days out
Hit reply or email me ai@dannydenhard.com for the full list we went through in podcast.
The AI Tools Mentioned
Large Language Models:Claude, ChatGPT, Gemini, Copilot
CRM & Productivity Platforms:HubSpot (and HubSpot AI), Zoom (for automated transcriptions and summaries), Google Meets
Use With Strategic Frameworks: RICE Methodology, RACI / DACI Frameworks, Now/Next/Future Roadmap
Shareable Insights
Stop rolling out tools and start redesigning work. If your AI strategy consists solely of handing out corporate LLM logins and hoping for the best, you are merely automating inefficiency.
Beware of making a mess faster.If an underlying business workflow or database is messy, introducing AI without cleaning the process first will only generate high-speed chaos.
Never start an AI transformation with job cuts.Approaching this technology purely as a headcount reduction exercise destroys employee trust and ultimately hinders long-term organisational growth.
The Core Takeaway for Leaders
The ultimate objective of this journey is not simply to have AI embedded within your company for its own sake. The goal is to build a demonstrably better business with AI supporting the right people to execute the right work faster, smarter, and far more consistently.
Have a great few days and if you’d like to discuss a full AI transformation project let us know by hitting reply or reaching out to ai@dannydenhard.com
Danny Denhard
