Ownership
Process owner, technical owner and escalation path are identified.
Governance · Automation
Automation governance for a manageable portfolio
Governance is the decision system around Automation: who may build what, who accepts the risk and how the solution remains reliable after go-live.
In short
Automation governance connects demand selection, architecture, security, development, testing, monitoring, change and retirement. Every Automation needs at least a process owner, technical owner, risk class, acceptance criteria, operating guide and review point. The aim is not more control, but predictable decisions and demonstrable management throughout the lifecycle.
This helps you decide
Establish the roles, controls and lifecycle agreements required to keep Automation manageable.
Scope boundary
Logical next stepAssess a concrete Automation opportunityThis is a practical control framework, not an audit, certification or replacement for organisational policy.
Explore
Minimum control model
Risk class
Impact, data, access, autonomy and fallback determine required controls.
Acceptance
Normal, failure and exception scenarios are tested repeatably.
Operation
Monitoring, support, change, continuity and retirement are organised.
Process
Lifecycle
- 01
Intake
Problem, objective, owner and alternatives.
- 02
Assessment
Fit, risk, architecture and business case.
- 03
Build and test
Version control, peer review, test data and acceptance.
- 04
Go-live
Operating guide, monitoring, access, recovery and communication.
- 05
Review
Value, incidents, changes, compliance and lifecycle.
- 06
Retirement
Remove data, access, dependencies and documentation safely.
Boundary
Manage the portfolio, not only the count
Do not manage only the number of bots or flows. Combine value, reliability, incidents, change effort, technical debt and ownership. A small stable portfolio can be stronger than rapid growth without control.