Agentic Operating Model — One Pager (Governance, Roles, KPIs)

Most “agent programs” will stall at pilot.

Not because the model is weak — because the operating model is missing.

Reality check on the Agentic Operating Model:

• If you don’t have process owners, you’ll get demos.
• If you don’t have trusted data + policy, you’ll get hallucinations and risk reviews.
• If you don’t have portfolio KPIs, you’ll get spend with no compounding advantage.

To design this properly, separate capability maturity (L0→L4) from the work required to scale: governance, harmonized data, orchestration, and measurement.

My litmus test (one page):

1. Which 3 workflows are you owning outcomes for?
2. What are the guardrails (permissions, audit, human-in-the-loop)?
3. What’s the scorecard (Outcome / Economics / Adoption / Trust)?

If you can’t answer those, you’re still buying tools — not building digital labour.

The three elements

1) The stack (operating model, not tech)

• Process gravity: pick 3–5 high-volume, high-friction workflows with a named outcome owner
• Digital worker roles: define the job (scope, permissions, escalation, HITL)
• Trusted data + policy: harmonize context, least-privilege, logging, evaluation guardrails
• Lifecycle + measurement: release train, monitoring, continuous improvement, ROI/TCO tracking

2) Maturity steps (capability + governance)

• L0: copilot / rules / FAQ and assist patterns
• L1: retrieval agents (recommend next best action)
• L2: simple orchestration (single-domain actions)
• L3: complex orchestration (multi-domain workflows + harmonized data)
• L4: multi-agent orchestration (collaboration + supervision)

These are steps for a reason: value compounds as you move up. But don’t skip L1 if it lets you launch quickly and instrument the KPI baseline.

3) Portfolio KPIs (what a CFO/CIO can trust)

• Outcome: cycle time ↓, deflection/containment ↑, AHT ↓, conversion ↑, SLA attainment ↑
• Economics: cost per resolved outcome, marginal cost per incremental workflow, payback period
• Adoption: active users, completion rate, agent-accepted rate, satisfaction
• Trust/Risk: escalation rate, audit coverage, policy violations, grounding/quality score

Example: Improve Self-Service Rate/Deflection by 10% in 4 weeks

Where to go next

1. Comment "agentic" and I'll share the maturity model with you in a DM, or
2. Proceed to the step-by-step guide shared below

What's your take on the approach?

Inspirational Links

• https://www.salesforce.com/blog/playbook/agentic-ai/
• https://www.salesforce.com/news/stories/agentic-maturity-model/