Service Management + Agentic AI
Connecting AI execution to existing enterprise service-management workflows.
Enterprise automation often fails when AI operates separately from the systems employees already use.
My research explores keeping existing service-management platforms as the human-facing system of record while AI agents perform the underlying machine work.
A typical workflow could look like:
Request / AI Orchestrator / Specialized Agents / Enterprise Systems / Validation / Human Approval / Deployment / Request Updated
If an agent requires additional information, the workflow can pause.
The user responds through the existing service-management process.
The AI workflow then resumes from where it stopped rather than starting again.
This allows organizations to introduce agentic automation without requiring employees to abandon established business processes.
Discuss this research
This initiative is evolving. Features and architectures described here are research directions, not claims of a production release. Detailed technical documentation and demonstrations will be added as available.
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