Agentic AI
Hybrid-Intelligence Simulation
Simulating how humans and autonomous agents coordinate best.
An R&D simulation of human-plus-agent teams: autonomous agents work toward goals while human decision points steer — so we can study which coordination patterns actually win.
01
The problem
Everyone claims agents plus humans beat either alone — but which handoff structures, and at what autonomy levels? Opinions outnumber measurements.
02
Our approach
A configurable simulation: agent teams with tunable autonomy, injected human decision points, and scoring across scenarios — coordination as an experiment, not a slogan.
03
The outcome
Findings from these runs shape how we design approval gates and autonomy levels in our client agent systems.
Highlights
- Tunable agent autonomy
- Injected human decision points
- Scenario scoring
