Implementation BlueprintExecution layer

Agnost AI Continuous Improvement Retainer (30-60 days)

A monthly retainer where your agency uses Agnost AI to monitor client AI agents, surface friction points, and ship automated fixes, turning conversation data into recurring value. Time: 30-60 days.

By InnovaAI ResearchPublished Updated

AI Evaluation Observability

How do you implement it?

Blueprint

Agnost AI Continuous Improvement Retainer (30-60 days)

A monthly retainer where your agency uses Agnost AI to monitor client AI agents, surface friction points, and ship automated fixes, turning conversation data into recurring value.

Prerequisites
  • Client contract allows monitoring production AI agent conversations
  • Access to production conversation logs via OpenTelemetry or direct API
  • Agnost AI account on Starter ($49/mo) or Pro ($499/mo) plan
  • Client AI agent deployed and generating at least 10,000 events per month
  • Basic familiarity with natural language queries in Agnost AI
Execution Timeline
  • 1.Set up Agnost AI for the client by integrating their AI agent conversation stream via OpenTelemetry or direct API
  • 2.Confirm event ingestion and verify data flow in the Agnost AI dashboard
  • 3.Define initial monitoring scope and alert thresholds for failure detection
  • 1.Use natural language queries to explore the first batch of conversation data
  • 2.Identify top failure patterns such as user frustration, repeated retries, and broken workflows
  • 3.Document initial intent and sentiment signals extracted by Agnost AI
  • 1.Review the automatically generated pull requests for detected issues
  • 2.Approve or modify the reviewed PRs before merging into the client's agent codebase
  • 3.Deploy the first round of agent improvements and monitor for regressions
  • 1.Set up recurring natural language queries to track specific friction points over time
  • 2.Configure alerts for new failure patterns and sentiment shifts
  • 3.Create a baseline report of key metrics from Agnost AI data
  • 1.Compile a prioritized list of feature requests discovered in conversation data
  • 2.Prepare a client-facing summary of improvements shipped and their impact
  • 3.Schedule a review meeting with the client to present findings and next steps
  • 1.Analyze the month's conversation data for emerging failure patterns
  • 2.Generate and review new pull requests for agent fixes
  • 3.Update the client on progress and adjust monitoring parameters based on feedback
  • 1.Conduct a comprehensive review of all improvements made over the two-month period
  • 2.Quantify reductions in user friction and improvements in resolution rates
  • 3.Propose an ongoing retainer plan with updated scope and pricing
$49 to $499 per month for Agnost AI subscription, plus agency labor30-60 days
ROI Logic

With a $49/mo Starter plan, you can support a client generating up to 10,000 events, while charging a $500-$1,500 monthly retainer for monitoring and improvement services. Even at the $499 Pro tier, the tool cost remains a small fraction of a $2,000-$5,000 retainer, yielding 80-90% gross margin on the service component.

Deliverables
  • Monthly friction point report with top 5 issues identified from Agnost AI data
  • Deployed pull requests with documented improvements to the client's AI agent
  • Feature request backlog extracted from conversation intents
  • Dashboard of key metrics including failure rates and sentiment trends
  • Quarterly improvement summary with before/after resolution metrics
Definition of Done

The client's AI agent shows measurable improvement in failure rates and user sentiment, with at least one round of automated fixes deployed and a recurring reporting cadence established.

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