Solution Capability · 6.1
Provide an operating service for production AI agents that combines monitoring, evaluation, support, governance, release control, and improvement.
After launch, responsibility may be split across business, application, data, security, vendor, and support teams. Without one operating model, issues remain unresolved and improvements happen inconsistently.
AI and digital leaders
Application and product owners
Operations and service leaders
Security and governance teams
Organizations running one or more production agents
Assess the current agent, architecture, documentation, risks, users, and operating responsibilities.
Define service scope, ownership, measures, runbooks, escalation, review cadence, and change process.
Implement monitoring, evaluation, support, reporting, and release controls.
Operate recurring reviews with business and technical owners.
Prioritize and deliver improvements based on evidence.
Managed operations for Ignatiuz-built agents.
Operational takeover assessment for existing agents.
Monthly quality, risk, usage and cost review.
Incident and support management.
Release and change management.
Continuous improvement backlog.
Copilot Studio, Azure AI Foundry, Azure services, and Microsoft 365.
OpenAI, Claude, IGNA, and Salesforce.
Enterprise applications, APIs, data, observability, ticketing, and reporting tools.
Security & Governance
The service includes named ownership, least privilege, logging, evaluation evidence, incident handling, release approval, human review, change history, and governance reporting appropriate to the use case.
A readiness workshop is the fastest way to find out if this is the right starting point.
