Agent Session Audit and Cost Reconciliation (Retention)

Agent Session Audit and Cost Reconciliation (Retention)

1. 01

   Pull the last 30 days of agent session logs for every client retainer that touches code

   Export session metadata from whichever agent CLIs the team runs. Agent Desk, the open-source macOS browser for Claude Code, Cursor, Codex, and Copilot sessions, gives a per-project view when logs are scattered across machines.

2. 02

   Tag each session by client, repo, and whether the output shipped to production

   Sessions that never reached a commit are the ones that quietly consume budget. A 40-hour agent week that produces two merged pull requests is a different cost story than one that produces twenty.

3. 03

   Reconcile token and compute spend against the retainer line item

   The Linux Foundation's October 8 summit pushed Total Cost of AI over raw token counting for exactly this reason: token totals do not map to client outcomes. Build the reconciliation around deliverables, then show the token figure as supporting detail.

4. 04

   Flag any client where agent spend exceeds 15 percent of retainer value without a matching scope increase

   That threshold is the point where the delivery lead and the account lead need to talk before the next invoice, not after.

5. 05

   Run a fallback drill for the two highest-spend clients

   Simultaneous outages across ChatGPT, Claude, and Grok in October 2026 left single-provider agencies without a delivery path. Confirm a tested alternative model or a local agent setup is documented for each critical workflow.

6. 06

   Send the client a one-page session summary with shipped work, spend, and next-cycle scope

   Keep it to shipped artifacts and cost. Clients renew on visible output, and a monthly summary that ties agent hours to merged code is the artifact that survives procurement review.

7. 07

   Log the reconciliation in the account file and set the next review date

   A 30-day cadence catches drift before it becomes a scope dispute. Quarterly is too slow when agent sessions can run unattended overnight.