The Six-Phase AI Implementation Framework
A structured AI implementation framework moves a business through discovery, readiness assessment, opportunity mapping, solution design, implementation, and optimisation, in that order, rather than jumping straight to a build.
Many AI projects fail not because the technology was wrong, but because a business jumped straight to building something before properly understanding the problem, the data, or the organisational readiness underneath it. A structured framework exists to prevent exactly this: it sequences the work so each phase is grounded in what the previous one actually found.
This is the framework CodeLab One applies to its own business AI engagements, and it is described here in full because understanding it is useful regardless of who ends up doing the implementation work.
Discovery and readiness
The framework starts with genuine discovery, understanding business objectives and operational bottlenecks directly from the people doing the work, followed by an honest readiness assessment of the technology, data, and processes underneath.
Opportunity mapping and solution design
Real opportunities are identified and ranked by value against cost and risk, then a specific solution is designed, technology choices, architecture, integration, governance, before any development begins.
Implementation and optimisation
The solution is built, tested, and rolled out with proper user training, then monitored and refined after launch, since a system's performance and the business's needs both continue to evolve after go-live.
Practical takeaways
- Resist the urge to jump straight to a build before discovery and readiness work is genuinely done.
- Treat opportunity mapping and solution design as separate, sequential steps, not one combined decision.
- Plan for an optimisation phase after launch, since a system's real performance only becomes clear once it is in use.
Common questions
Do we have to go through all six phases for a small AI project?
The phases still apply in principle, even for a small project, though each one can be brief. Skipping discovery and readiness entirely is where most avoidable failures come from, regardless of project size.
How long does the full framework typically take?
This depends heavily on scope. A single, well-defined use case can move through all six phases in a matter of weeks; a broader, multi-department initiative naturally takes longer.
What happens in the optimisation phase specifically?
Ongoing monitoring of performance and usage, gathering real feedback from users, and refining the system based on how it is genuinely being used, rather than assuming the system built at launch never needs to change.
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