Why We Created the AI Suitability Playbook
- Darryn Probert

- 1 day ago
- 3 min read
In the last year, "AI" has featured as a standing item on most executive boards agenda. At Next Phase Consultancy, we’ve seen organisations racing to implement generative AI, often starting with the technology first and the "why" second.
The result? Experimental projects that look impressive in a demo but fail when tested in the end-to-end business activity. Or the cost of the implementation used in proof of concept outweighs the benefit to the organisation.
We created the AI Suitability Playbook to give leaders and teams a quick heuristic guide to assess initiatives. It’s a practical, 4-step framework designed to help organisations move past the noise and ensure every AI initiative is linked directly to measurable results.
Why suitability matters more than capability
The biggest risk in AI today isn't that the technology won't work; it's that you'll build something perfectly functional that the organisation or its customers do not need.
Just because AI can solve a problem doesn't mean it should. Sometimes, a simple automation script or a process change is faster, cheaper and more reliable. Our playbook is designed to act as a "sanity check" for leadership teams, ensuring that resources are only committed to high-impact, high-readiness opportunities.
What’s inside the playbook?
The playbook breaks the assessment process into four distinct phases:
1. Identifying business objectives
Before looking at models or data, we start with the outcome. Does this initiative map to a measurable business goal? We ask simply: Would AI deliver more value than simpler alternatives? If the answer isn't a definitive "yes," you should either pivot to another initiative or reassess the priority of objectives. This may seem frustrating to some but it will save far greater expense if the realisation happens further in the process.
2. Solution assessment
Once a problem is validated, we look at the "how." This covers the technical and operational landscape:
Deployment/Integration: Edge vs. Cloud vs API (this includes integrating with the big LLM providers services)
Model Strategy: Open-source vs. Provider-led (balancing cost, size, and performance).
Governance: Security, data sensitivity, and ethical considerations.
Readiness: Do you have the internal skills and change management capacity to actually use what you build?
3. Building the roadmap
The plan for an AI initiative shouldn't be a rigid contract; it should be a communication tool. We help organisations sequence initiatives across "Now, Next, and Later" horizons, ensuring that feedback loops are built-in so the strategy can pivot as the technology evolves.
4. Iteration & Scaling
Success in AI is rarely a straight line. The playbook provides clear signals for when to scale across the organization and, more importantly, when to revisit your architecture if technology accelerators used early on should be replaced with longer term solutions.
How to use the Playbook
The AI Suitability Playbook is intended to be used at the start of any new project cycle. We recommend bringing together a cross-functional group with representatives from (at a minimum) Business, IT and Operations to run through the checklist.
By the end of the process, you won't just have a "project idea"; you’ll have a validated business case with a clear understanding of your data readiness and a defined path to ROI.
Moving to the Next Phase
AI is a generational opportunity, but it requires a disciplined approach. Whether you are just starting your AI journey or looking to course-correct an existing program, our playbook can help with quick checks to ensure your technology investments are strategic, not just speculative.
Ready to assess your next initiative?
Get in touch with the team at Next Phase Consultancy. We can help you navigate the assessment, advise on technical execution, or partner with you from discovery through to delivery.
Get your copy of the playbook here
Reach out to Lucille or Darryn at nextphaseconsultancy.com to start the conversation.




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