OpenClaw Codex

Service

Agent Workflow Audit

A practical review of your AI agent workflow before it becomes production debt: tools, permissions, recovery, observability, automation, and content operations.

What Gets Reviewed

The audit is designed for teams moving from agent demos to repeatable operations.

Workflow Map

Where tasks start, which agent or tool owns each step, where humans approve, and what happens when a run fails.

Permission Boundaries

Which tools can read, write, browse, deploy, send messages, touch secrets, or alter production state.

Observability

What is logged, what is measured, which failures are visible, and how operators know whether the workflow is improving.

Recovery Paths

Rollback, safe restart, queue draining, backup expectations, and the operator checklist for risky changes.

Typical Deliverables

  • A sanitized workflow map with current risks and missing approval gates.
  • A prioritized risk register for tools, prompts, automation, data, and deployment paths.
  • A 30-day action plan for hardening, monitoring, documentation, and repeatable operations.
  • Recommended templates or playbooks to adopt first.

Good Fit

  • You already have an AI agent workflow, but it relies on tribal knowledge.
  • You are adding tools, MCP servers, browser automation, shell access, or deployment permissions.
  • You need a safer approval model before automating more work.
  • You want content, SEO, or site operations to run with AI assistance without losing owner control.

Safety Boundary

Send sanitized context only. Do not email API keys, tokens, private customer data, raw production logs, or internal credentials. The first conversation should establish scope and safe evidence boundaries.

Request an Audit

Send a short, redacted summary. The form stores the request for owner review; do not include secrets, customer data, private logs, or production credentials.

Prefer email later? The domain mailbox is being configured; the form is the reliable intake path for now.