Phase 4: Agentic Discovery
Capturing years of cross-divisional learning in 90 days through agent discovery rather than workflow design
Deliverables:
- • 3 division agent services (Fundraising, Field Operations, Business Development)
- • 7-phase adaptive depth limiting experiment (depth 1→2→3→2→4→2→adaptive)
- • 900 A2A interaction logs generating Phase 5 orchestrator training data
- • Validated collaboration patterns with quantified cost-value tradeoffs
The Problem
Cross-divisional coordination patterns can't be designed upfront. No planning session can predict which collaborations deliver value in practice. Traditional integration projects create aspirational workflows that fail because they represent how work should happen, not how it actually happens. They also depend on past ways of doing things and miss the potential of new structures and capabilities. The relational intelligence about which teams should coordinate on what tasks, when division handoffs add value, where cross-functional workflows emerge: this knowledge normally lives only in people's heads.
The Solution
Deploy division agents as independent services connected through A2A (Agent-to-Agent) protocol into an agentic network. Agents can ask and respond to each other to accomplish objectives. Over 90 days, the network experiments on real company queries and requests, discovering what works and what doesn't, finding new ways to accomplish tasks better. Agents log every pathway, measure every handoff, and test workflow depths from simple (1-level delegation) to complex (4-level cascades). The 7-phase adaptive depth schedule (1→2→3→2→4→2→adaptive) with control phases detecting drift ensures comprehensive coverage. This forms the training data for a highly effective Phase 5 orchestrator.
The Value
Years of organizational learning compressed into 90 days of quantified evidence. Not opinions, but validated intelligence about what coordination patterns work. Comprehensive call logs capturing every delegation decision, synthesis pattern, and workflow outcome become training data for Phase 5's orchestrator. Complete optionality: the investment delivers proprietary intelligence about optimal workflows whether the organization continues to Phase 5 or stops with validated collaboration insights.
Next: Phase 5 - Orchestrated Agentic System
The 90-day discovery experiment has generated comprehensive training data showing which collaboration patterns deliver value. Phase 5 transforms these insights into a production-ready orchestrator that routes queries intelligently, manages multi-agent workflows efficiently, and optimizes for the cost-value tradeoffs validated through empirical experimentation.
Continue to Phase 5 →