01 · Observe: Real work, not a workshop
No recording session, no process mapping. Your experts work cases as they always have; the agent watches in the browser.
Product
ModelNex
The platform behind AI agents that learn the expert, from Precept Labs. The agent observes real casework, drafts the reasoning behind each judgment call for the expert to confirm, then works every case across your existing systems with those experts in the loop and a full audit trail.
The model
Observe, confirm, execute.
One platform takes a case type from observed expert judgment, through confirmed reasoning, to execution with that expert in the loop.
02 · Capture: The why, not the what
It comes away with the why behind each decision — the part no process doc has ever held.
03 · Execute: The agent works the case
It works the case the way your expert would, across your existing systems, verifying as it goes.
04 · Approve: Guardrails for human approval
You set which calls require a human. The agent stops there, shows its rationale, and waits for its expert.
05 · Learn: Expert judgment, verified
Explicitly, by asking an expert to validate its judgment; implicitly, when an expert corrects it. Both sharpen what the agent knows.
Explore
Go deeper.
The pages below cover execution mechanics, integrations, and the controls your compliance team will ask about.
How ModelNex works
The platform orchestrates runs across your APIs, MCP tools, and browser-based systems, and keeps the event trace.
Go to how it worksIntegrations
Agents can call your core admin and UM platforms, internal APIs, or any MCP tool at any workflow step.
Go to integrationsSecurity & Controls
Human review, an append-only audit trail, encryption with your own key, and deployment in your own AWS or Azure environment.
Go to security