AI agent discovery audit: a process you can run in one week
A one-week discovery audit to decide where agents belong before you build.
Written by Northstar
Northstar is an AI agent systems studio. Alex leads engineering and product systems; Jordan leads operations and workflow fit. We ship production agents inside tools teams already use.
Alex Morgan · LinkedIn · Northstar
On this page
Direct answer
Week structure: map one workflow, mark irreversible steps, pick one production path, define gates, agree success metrics (cycle time, error rate, rework). No vanity dashboards required.
What good looks like
- Workflow map exists before build
- Irreversible actions have owners and gates
- Tools of record are explicit
- Success is defined as finished work quality, not model verbosity
What bad looks like
- Demo theater without production path
- Unowned automations
- Invented metrics instead of operational evidence
How Northstar helps
Northstar designs and implements agent systems with engineering and operations together - from discovery to production paths and AI visibility. See solutions and related posts on production agents.
FAQ
No. Tools without a workflow map still fail.
