AI Governance Principles
Business context and operational boundaries are as important as model selection.
Technology is only one part of delivery
AI assistance does not replace business accountability, privacy requirements, qualified professional judgment, or authorized control of a customer system.
Key principles
Context stewardship
Keep company facts, terminology and knowledge sources current and approved.
Controlled decisions
Separate recommendations from administrative actions; require authorization and review when needed.
Traceable change
Document permissions, exceptions, material changes, and escalation paths.
From context to supported execution
Discover
Understand business processes, customer needs, current systems, constraints, and responsible people.
Define
Agree on scope, success criteria, deliverables, account ownership, pricing, and operating authority.
Implement
Configure the supported technology and establish the agreed workflow or capability.
Validate
Test normal paths and exceptions; obtain required review and approvals.
Operate
Document handoffs and provide ongoing administration or support where contracted.
Turn your next business goal into coordinated action.
From content and digital marketing to AI, integrations, and operations, Marathon Automation scopes the work around your needs.