Client AI Trust Audit (Retention)

Client AI Trust Audit (Retention)

1. 01

   Inventory every client AI deployment and its observability coverage

   List each production AI feature, the platform it runs on, and whether tracing, evaluation, and drift detection are active. A VentureBeat survey of 101 enterprises found most deployed agents are chatbot wrappers, so verify what is actually running versus what was promised.

2. 02

   Review recent trace logs for cost and latency anomalies

   Pull last 30 days of trace data from your observability tool. Flag any client account where token spend or response time deviates more than 20% from the baseline, as hidden cost spikes erode retainer margins.

3. 03

   Run a fresh evaluation suite against current production prompts

   Execute your standard evaluation set, including edge cases and regression scenarios. Compare scores to the last audit. A drop of more than 10% in quality metrics signals drift that needs immediate attention.

4. 04

   Check for unapproved changes to prompts, models, or creative

   Meta's ad AI altered approved creative post-launch without human action, so verify no platform or vendor has modified client-facing AI behavior. Compare current prompt versions and model IDs against the approved baseline.

5. 05

   Assess data privacy and compliance for each client's data flow

   Confirm which client data passes through cloud AI APIs and whether any falls under NDA, GDPR, or sector rules. Self-hosting is now a documented option, so note any exposure that could justify a migration.

6. 06

   Document human oversight and escalation paths for each agent

   Forrester argues agentic AI security now centers on intent verification, not just action blocking. Ensure every client agent has a named human owner and a clear process for intervening when behavior crosses boundaries.

7. 07

   Deliver a plain-language trust report to the client

   Summarize findings in non-technical terms: what is monitored, what changed, and what actions you recommend. This report becomes the evidence that your agency is managing AI risk proactively, supporting retainer renewal.