Map
Understand the workflow, systems, people, decisions, exceptions, and current pain.
Method
The Verdify Method: bounded AI operations.
Verdify helps teams move from "Can AI automate this?" to "Can we defend how this workflow works?" We map the workflow, define what AI is allowed to do, preserve human and system authority where it matters, instrument the process, and build a scorecard that shows whether the workflow actually improved.
Bound
Define allowed actions, prohibited actions, approvals, authority, and rollback.
Build
Implement a narrow workflow with clear acceptance criteria and controlled integrations.
Verify
Test quality, risk, exceptions, telemetry, and operational impact.
Operate
Monitor, score, tune, and expand only when evidence supports it.
Live proof
The method, proven in our own lab.
Verdify Lab makes the method concrete: AI proposes. Firmware controls. Telemetry verifies.
| Method step | Lab example |
|---|---|
| Map | Greenhouse zones, crops, equipment, forecasts, sensors, and resource costs. |
| Bound | AI-writable tunables and prohibited direct relay control. |
| Build | Iris planner, validated tools, dispatcher, and ESP32 firmware. |
| Verify | Plan scorecards, climate compliance, stress hours, water, energy, and costs. |
| Operate | Slack Ops, daily task queue, deviations, lessons, and known limits. |
Boundary Matrix
Define what AI may read, draft, recommend, execute, and never touch.
A useful AI workflow is not defined by model capability alone. It is defined by the boundary between AI assistance, deterministic rules, human approval, and systems of record.