Agent365 Operating Model¶
Atlanta, USA
Last updated: 2026-08-04
Operating model objective¶
Create a repeatable model that connects platform, security, compliance, and business teams for day-two operations.
Role-to-process mapping¶
| Process | Primary owner | Supporting teams |
|---|---|---|
| New agent onboarding | AI (artificial intelligence) admin | Platform engineering, security, compliance |
| Policy and exception review | Governance owner | Security operations, business owner |
| Runtime monitoring and triage | Security operations center | Platform support |
| Quality and value optimization | Product owner | Data analyst, platform engineering |
| Decommission and archival | AI (artificial intelligence) admin | Compliance and records owners |
Cadence model¶
| Cadence | Purpose |
|---|---|
| Daily | Incident triage, health checks, urgent fixes |
| Weekly | Policy exceptions, drift, and ownership review |
| Monthly | KPI, risk, and cost-performance review |
| Quarterly | Architecture, control, and standards refresh |
Control artifacts¶
- Agent catalog with owner accountability.
- Risk register for active and pending exceptions.
- Runbook library for incidents and known failure modes.
- KPI scorecard with productivity and risk indicators.
- Audit trail for lifecycle and policy decisions.
Success indicators¶
- Stable or improving reliability with growing adoption.
- Decreasing exception count or tighter exception aging.
- Reduced incident response time for known issue classes.
- Clear mapping between usage and measurable business outcomes.
Business example¶
A shared services team runs monthly operational reviews with security and compliance. It uses a joint scorecard for reliability, policy adherence, and value delivery. This shared cadence prevents siloed decisions and supports controlled scaling across business units.