How We Know It's Working
Four stages: Discover, Build, Prove, Scale. Each feeding the next, each built to compound.
Stage 1
Discover
Find the right problems with the people closest to the work.
Discovery sessions completed
Q2: 6
6mo: 15
Initiatives scored through intake
Q2: 10
6mo: 25
Stage 2
Build
Ship agents that solve real problems, through infrastructure anyone can use.
Agents adopted by target team
Q2: 3
6mo: 8
Source document coverage
Q2: 90%+
6mo: 90%+
Stage 3
Prove
Demonstrate outcomes with measurement rigor that transfers to anyone.
Agent accuracy score (automated)
Q2: 85%
6mo: 90%
Agents with documented outcome
Q2: 100%
6mo: 100%
Outcomes validated against priorities
Q2: 1
6mo: 3
Stage 4
Scale
Export the methodology so teams operate independently.
Teams operating agents independently
Q2: 1
6mo: 3
Time: discovery to deployed agent
Q2: Baseline
6mo: -30%
Now through May
- Deal Desk, JD Generator, PRD, BRD agents in testing
- ITFA Agent in testing (Matthew Fischer)
- Agent Factory operational
- Eval scores established
- First business outcomes underway
June - July
- Deal Desk outcome metrics (case volume reduction)
- Eval accuracy 85%+ across portfolio
- All live agents with documented outcomes
- Agent Factory available via AI Sandbox
August - September
- Teams operating agents independently
- Governance model operational
- Measurable improvement in time to deploy
Why this works
Every agent solves a specific problem for a specific team. The spot solution is real. The infrastructure underneath it is what compounds. The same pipeline that built the Deal Desk agent builds the next one. The same eval framework that proved accuracy for one agent proves it for all of them.
Discover
Are we finding the right problems?
Scale
Does the method spread?