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This is a technical foundation page linked from service detail pages. It explains the architecture, data, quality, security, or AI workflow layer behind the service.
Agentic workflow architecture

Job, tools, permissions, data boundary, review loop.

Most agent projects fail before the first prompt. We design agents starting from the job they have to do, the tools and data they may touch, and the review loop that keeps them inside that boundary.

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Who this is for

For teams designing internal agents, workflow automations, or AI-assisted operations that have to run reliably against real business data.

The real problem

Agent demos often work because the environment is generous. Production agents fail because nobody decided what the agent is responsible for, what it may access, what it must escalate, and how a human reviews its decisions.

What we do

We define the agent's job, success criteria, tools, permissions, data boundary, failure modes, escalation paths, and review loop. The architecture is designed before the prompt — so the prompt has something to anchor to.

How it holds together
  • 01

    Job definition

    One responsibility, measurable success criteria, explicit out-of-scope behavior.

  • 02

    Tool + permission model

    Scoped, auditable tool access — agents do not get keys they do not need.

  • 03

    Data boundary

    What the agent may read, write, and send to providers — and what stays out.

  • 04

    Review loop

    Human-in-the-loop checkpoints, escalation paths, and a clear path for the agent to say 'I don't know'.

Agent architecture

Job → tools → permissions → data boundary → review loop.

  1. 01

    Job

    responsibility · success criteria

  2. 02

    Tools

    scoped APIs · functions · actions

  3. 03

    Permissions

    least privilege · audit

  4. 04

    Data boundary

    read · write · provider out

  5. 05

    Failure modes

    escalation · safe default

  6. 06

    Review loop

    human checkpoints · feedback

What you get
  • 01Agent job and success-criteria definition
  • 02Tool, permission, and data-boundary model
  • 03Failure mode and escalation design
  • 04Review loop and monitoring recommendations
Parent services

Service areas that use this technical foundation

Related reading

Background on this topic

Next step

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