Where: Portfolio + Strategy16 AI agent
AI that finds patterns across raw signals and surfaces insights humans would miss at scale.
Synthesis is what converts raw signal into something a portfolio decision can actually use. AI analyses what has been sensed, finds patterns, and surfaces insights humans would not catch at scale.
The Systemic Pattern Detector (from the Mesh) is a prime example of a synthesize agent — it noticed the WCAG compliance gap across two separate Intents that no individual team was tracking. Synthesize agents are most valuable when they connect dots across organizational boundaries: between intents, between loops, between present evidence and historical learnings stored in the Knowledge Mesh.
The output of synthesis is not a report — it is an actionable insight with provenance (where the signal came from, what confidence level it carries, and what decision it might inform).
Key principles
- Converts raw signal into decision-grade insight.
- Finds patterns humans miss at scale.
- Surfaces correlations across loops.
- Output feeds Recommend agents and human decision-makers.