Human Authority
Define decision rights, exception handling, stop conditions and final accountability so people retain material judgment.
AiTOM enterprise solution
Agentic Operating Model
Enable people, agents and systems to collaborate through explicit responsibility, control and evidence—turning AI from scattered tools into a governable enterprise capability.
CONTROL PLANEEVIDENCE LAYEROPERATING DOMAINS
AiTOMAGENTIC
OPERATING
MODEL
OPERATING
MODEL
WHY IT MATTERS
Speed is not the only enterprise AI problem. The real questions are who decides, who is accountable and how the system proves it acted correctly.
The Agentic Operating Model puts strategic intent, authority, policy, workflows and technical interfaces into one executable architecture. Enterprises can increase automation while preserving human judgment, risk control and auditable evidence.
4Composable operating layers
1Shared control plane
100%Critical actions traceable
∞Scalable operating domains
CORE CAPABILITIES
Put governance into daily operations—not into documents written afterwards
Control Plane
Translate policy into permissions, approvals, thresholds, monitoring and executable system controls.
Evidence Layer
Continuously record sources, reasoning context, actions, outcomes and evaluation to build a trusted evidence chain.
Operating Domains
Place agents inside clearly defined workflow, role, data and tool boundaries.
GOVERNANCE ARCHITECTURE
One shared control plane across every agent and operating domain
AiTOM does not treat governance as an external checklist. The control plane participates directly in authorization, observation, exception handling and learning so governance becomes part of how the system operates.
02Control Plane
03Evidence Layer
USE CASES
Start with a high-value workflow, then expand with discipline
01Customer operations
Customer operations
Let agents prepare service context and next actions while routing material commitments to people for approval.
Discuss this use case02Knowledge work
Knowledge and decisions
Support research, analysis, policy and expert judgment with source-traceable retrieval and reasoning.
Discuss this use case03Business operations
Business operations
Automate well-defined cross-system work while preserving complete handoff context when exceptions occur.
Discuss this use caseRESOURCES
Take the method back to your team
The four layers of an Agentic Operating Model
12 min readMap AI opportunities and governance boundaries
90 min sessionEnterprise agent readiness scorecard
Download templateTAKE THE NEXT STEP
Turn one workflow into a governed Agentic Operating Model
Start with a 60-minute architecture conversation. We will identify authority, risk, data, controls and the first verifiable outcome together.
Book an architecture conversation