Operating model readiness for Hybrid (AI + Human) organisations

1

Name* This field is required.Please tell us your name

First Name

Last Name

2

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3

Your company name* This field is required.

4

Agent ownership:Who owns each AI agent today? is the ownership clear.

None

Some ownership clear

Full Registry with accountable owners

5

Decision rights:How human and agent decisions are made and overseen

Unclear

Documented

Documented and used with thresholds.

6

Lifecycle governanceGates from intake to retirement

Ad hoc.

Standard gates.

Full lifecycle with audit.

7

ControlsPolicy checks, red teaming, rollback, and approvals

Few

Some policy as code

Full controls with red team and rollback

8

Telemetry and valueKPI tracking and weekly review

No KPIs

Partial

Weekly dashboard tied to one KPI

9

Data and toolsAccess, connectors, and permissions for agents

Siloed

Shared connectors

Standardized permissions and patterns

10

Prompt and model managementVersion control and automated tests

Manual

Versioned

Versioned with automated tests

11

Risk and compliancePolicy definition and enforcement

Undefined

Policy is documented.

Policy as code enforced in approvals

12

Training and enablementRole based training for hybrid teams

None

Ad hoc

Role based training with certification

13

Change cadenceOperational rhythm for review and improvement

Irregular

Planned cycles

Weekly review and monthly red team

14

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