Agentic Innovation Roadmap
How Organizations Should Approach AI.
This roadmap illustrates a structured, repeatable approach to building impactful AI agents. Rather than jumping straight into development, organizations move through a series of expanding and narrowing phases—ensuring they focus on the right problem and the right solution.
This roadmap illustrates a structured, repeatable approach to building impactful AI agents. Rather than jumping straight into development, organizations move through a series of expanding and narrowing phases—ensuring they focus on the right problem and the right solution.
1. Discover (Expand): This is the ideation phase. Teams explore a wide range of possibilities where AI or agents could drive value—improving efficiency, enhancing customer experiences, or unlocking new opportunities. At this stage, thinking is intentionally broad and exploratory.
2. Select (Narrow): From the many ideas generated, the organization refines and prioritizes—ultimately selecting a small number of high-impact use cases (often just one). This ensures focus, feasibility, and alignment with business goals.
These first two phases represent AI Problem Selection—choosing the right problem to solve.
3. Identify (Expand): With a clear use case defined, teams explore different ways to solve it. This includes evaluating technologies, architectures, tools, and methodologies for building the agent. Again, thinking expands to consider multiple viable approaches.
4. Develop (Narrow): Finally, the team builds the solution—refining choices down to only the most effective technologies and components required to deliver the agent. This phase is about execution, optimization, and bringing the solution to life.
These last two phases represent AI Solution Selection—choosing the right way to solve the problem.
Key Takeaway
The process intentionally moves in “waves”: Expand → Narrow → Expand → Narrow
This ensures organizations avoid two common pitfalls: Building the wrong solution (by skipping problem selection) and overengineering the solution (by not refining technology choices). By following this flow, teams can move from ideas → impact with clarity and confidence.
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