AgentLab

Agents on an install you already have.

AgentLab lands on Private AI Foundation you already run. Same Gateway, same audit, same perimeter. If you do not have that install yet, start with a DocxIntel proof of value.

AgentLab private agent workspace

Build

Chat, canvas or code. Same artefact.

Connect

Systems already inside the perimeter.

Observe

Traces, steps and exact failure points.

Control

Approvals, versions, rollback.

How an AgentLab action runs

1

Build

Describe the agent in chat, wire it on a visual canvas, or construct it in code and API.

2

Connect

Connector catalog, MCP tools and custom APIs into systems of record you already run.

3

Approve

Consequential tool calls wait for a named approver. Nothing silent posts to ERP.

4

Write

The outcome, model version, caller and policy decision are written to the Foundation audit log.

A private agent workspace

Build

Chat, visual canvas or code. All three produce the same versioned artefact: workflows, prompts, skills and tools.

Connect

Connector catalog, MCP tools and custom APIs. No public endpoint is required.

Context

Files, knowledge bases and structured tables stay next to the weights and the audit log.

Deploy

Private API, scheduled runs, internal chat. Inference and tools go through the Model Gateway.

Observe

Traces per run, step-by-step logs, full run history, exact failure points.

Control

Approval checkpoints, human-in-the-loop, versioned prompts and tools, rollback on exception.

Build through Control

Build

  • Chat
  • Visual canvas
  • Code & API
  • Versioned artefacts

Three paths. One object you can roll back.

Connect

  • Connector catalog
  • MCP tools
  • Custom APIs
  • No public endpoint

Agents talk to systems already inside the building.

Observe

  • Run traces
  • Step logs
  • Failure location
  • Full history

What ran, which tool, which policy decision.

Control

  • Named approver
  • Guardrails
  • Rollback
  • No self-serve signup

Sign in on an install you already run. This site does not offer self-serve signup.

Where this is different

Private first

Cloud agent platforms offer self-hosting as an option. AgentLab is a private deployment first, on a Foundation already inside the perimeter.

Same Gateway

A DocxIntel ask and an AgentLab tool call share one controlled path. There is no side door.

Regulated by design

Every action is logged, attributable and reversible. That is a constraint of the environment, not a feature list item.

Start with documents

If the Foundation is not installed yet, the proof of value starts on DocxIntel, one document type, in your environment.

The full stack on one machine, disconnected from the network.

In your office, on your documents, with the cable pulled out. No competitor's sales engineer can do this.

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Requirements

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