Building a long-term plan to tackle the challenges of building an agentic architecture will require considerable effort. The diagram below highlights various categories of resolutions to these challenges (for example, “technical solutions for creating model accuracy” includes a wide range of AI techniques).
The quadrant maps these resolutions by:
- the expected difficulty of implementing a particular solution, with the most difficult at the top of the y-axis
- the relative importance of the solution (highly important being at the top of the x-axis). Here, importance is a factor of its impact on the identified problem and also the timeline in which it is needed (with some solutions not being needed until more complex coordinated MAS are deployed)
The resolutions then naturally fall into one of three categories (in pink text):
- Day 0 tasks, which need immediate attention to create successful first projects
- Year 0 tasks, where short-term attention is needed to ensure longer-term success
- Year 1 – 3 tasks, which will become necessary as agentic systems develop to support more complex decisioning and processes.
