Failproof AI Client Agent Monitoring Setup (5-7 days)
A delivery sprint that configures Failproof AI runtime monitoring, policy enforcement, and failure auditing for a client's AI agents, giving the agency a repeatable observability offer. Time: 5-7 days.
By InnovaAI ResearchPublished
Failproof AI Client Agent Monitoring Setup (5-7 days)
A delivery sprint that configures Failproof AI runtime monitoring, policy enforcement, and failure auditing for a client's AI agents, giving the agency a repeatable observability offer.
- Client has an AI agent deployment (Claude Code, Cursor, Codex, or Gemini CLI) that can be connected to Failproof AI.
- Agency team has Failproof AI account with access to the Free Forever or Team plan.
- Client provides access to their agent environment and logging infrastructure for integration.
- Agency identifies top 3 failure scenarios the client wants to monitor and alert on.
- Client agrees to the monitoring scope and data retention requirements.
- 1.Create Failproof AI workspace and install SDKs or CLI tools in the agency's development environment.
- 2.Connect the client's AI agent harness (e.g., Claude Code, Cursor) to Failproof AI to start capturing runtime logs.
- 3.Verify deep tracing is active and run logs are flowing into the Failproof AI dashboard.
- 1.Review the 39 built-in policies in Failproof AI and map them to the client's safety requirements.
- 2.Define custom policies for the client's top 3 failure scenarios, setting alert thresholds.
- 3.Configure the alerting suite to notify the agency and client on policy violations.
- 1.Set up dashboards in Failproof AI to display agent health, run history, and failure trends.
- 2.Integrate Failproof AI with existing observability tools like Langfuse, LangSmith, or Datadog if the client uses them.
- 3.Test failure detection by simulating a known failure scenario and confirming the audit trail is captured.
- 1.Enable Failproof CLI and MCP for the client's development workflow to allow on-demand tracing.
- 2.Train the client's team on reading Failproof AI dashboards and interpreting failure audits.
- 3.Document the runbook for handling alerts and conducting failure audits.
- 1.Run a 24-hour monitoring period to collect baseline data on agent performance.
- 2.Review the first failure audits and refine policies based on real-world agent behavior.
- 3.Deliver a branded observability dashboard to the client, showing agent health and run history.
- 1.Conduct a retrospective with the client to review monitoring insights and adjust alert thresholds.
- 2.Finalize the policy set and ensure all failure scenarios are covered by audits.
- 3.Hand over the runbook and provide a walkthrough of the Failproof AI admin panel.
- 1.Verify that the client's team can independently access Failproof AI and interpret dashboards.
- 2.Confirm that failure audits are being generated as expected and alerts are reaching the right contacts.
- 3.Close the sprint with a summary report of monitoring coverage and recommended next steps.
With the Free Forever plan covering up to 5,000 runs per month, an agency can service a small client at zero software cost, charging a flat $2,500 setup fee. For clients exceeding that volume, the Team plan at $99 per month is a pass-through cost, leaving the agency with high margin on the delivery fee.
- Failproof AI workspace configured with client-specific policies and alert thresholds.
- Branded observability dashboard showing agent health and run history.
- Failure audit runbook documenting alert response and audit procedures.
- Policy configuration file mapping client safety requirements to Failproof AI policies.
- Integration summary report listing connected agent harnesses and observability tools.
The client's AI agents are monitored in Failproof AI with custom policies enforced, alerts firing on violations, and the client team trained to use the dashboards and runbook independently.