AgentOps Briefing Agenda

Recommended title

From Agent Prototype to Production: AgentOps Readiness on Microsoft Foundry

Other options:

1. AgentOps for Production-Ready AI Agents on Microsoft Foundry
2. Evaluate, Ship, Observe, Operate: An AgentOps Model for AI Agents
3. From Agent Demos to Reliable Operations: A Practical AgentOps Session
4. Operationalizing AI Agents with Evaluation, Observability, and CI/CD Gates

Abstract

AI agents are moving quickly from prototypes into customer-facing and business-critical workflows. That shift creates a new operational challenge: teams need confidence that agents are evaluated consistently, monitored effectively, governed responsibly, and released through repeatable gates.

In this short (~1-hour) session, we introduce a practical AgentOps operating model for production AI agents on Microsoft Foundry. We cover evaluation strategy, CI/CD quality gates, observability, diagnostics, Responsible AI readiness, red-team follow-through, and Day-2 operations. The session includes a demo story showing a release-readiness flow: an existing Foundry agent is evaluated, a regression is blocked before release, the issue is fixed, readiness evidence is reviewed, and telemetry links the release decision back to runtime behavior.

Attendees leave with a production-readiness checklist and a practical starting path for moving one agent from “it works in testing” to “we can operate this safely.”

Timeboxed flow

Time	Segment	Purpose
0:00-0:02	Opening and promise	Frame the shift from prototype success to production confidence.
0:02-0:06	The production gap	Set urgency: prototypes are cheap, production needs proof.
0:06-0:10	Complexity from prompts to agents	Show why agentic systems need stronger operating discipline.
0:10-0:15	AgentOps operating model	Introduce the four pillars: Evaluate, Ship, Observe, Operate.
0:15-0:19	Maturity model	Quick self-assessment for the audience.
0:19-0:24	Foundry as control plane	Clarify roles across Foundry, Azure Monitor, repo, and CI/CD.
0:24-0:28	Production readiness checklist	Make the release evidence contract concrete.
0:28-0:33	Evaluation strategy	Show how release evidence is produced.
0:33-0:37	Red teaming and AI safety	Separate safety from quality; reach governance audience.
0:37-0:42	CI/CD gates for agentic AI	Show how gates enforce release evidence.
0:42-0:46	Observability for agents	Traces, telemetry correlation, dashboards, alerting.
0:46-0:50	From telemetry to action	Closed loop: trace - diagnosis - new eval row - gate.
0:50-0:52	Day-2 operations - four concerns	Observe, govern, protect, optimize.
0:52-0:56	AI incident runbook	Severity, triage flow, containment first.
0:56-0:58	Model lifecycle and canary	Treat model changes as release candidates.
0:58-1:00	Adoption blueprint and close	Start with one production-candidate agent.

Speaker guidance

Emphasize:

• The customer problem is production confidence, not tooling novelty.
• The strongest value moment is the failed gate: if the agent regresses, the release stops.
• Foundry remains the control plane and system of record.
• AgentOps adds the repeatable operating model around evaluation, repo, CI/CD, diagnostics, observability, and release evidence.
• Observability must connect runtime traces to release decisions and future evaluations.
• Safety and quality are different signals; both are required before release.
• Day-2 operations turn signals into action through the incident runbook and model lifecycle discipline.
• The deck stands on its own conceptually. An optional backup video may be recorded but is not part of the main session flow.

Avoid:

• Making the session about AgentOps Toolkit.
• Starting with installation details.
• Spending too much time on command syntax.
• Describing AgentOps as a replacement for Foundry.
• Treating observability as generic infrastructure monitoring.
• Treating Day-2 as a single afterthought slide; it deserves the incident runbook and model lifecycle depth.