AI Governance
Give AI activities boundaries, review practices, and traceable decisions.
What the engagement needs to solve
Governance is proportional to the work and data involved; a website FAQ and a billing-related workflow require different controls.
Recommendations start with the customer’s requirements, existing platforms, business owners, and practical support model. The objective is a controlled working system rather than an isolated feature.
What this work can cover
Approved context
Maintain current business facts, terminology, and authorized content sources.
Output review
Apply human checks for consequential, sensitive, or regulated outputs.
Governance records
Document access, changes, responsibilities, and escalation rules.
How this fits the Marathon Automation offering model
Standalone work
Consulting and third-party system implementation may be contracted independently.
AI Enablement
Customer-facing and organizational AI are delivered through the relevant Foundation and Organization plans.
Automation Enablement
Ongoing cross-system integrations and automation follow the contracted Automation Enablement authority model.
Prevent a campaign from inventing offer terms
Approved product facts, dates, eligibility, claims, consent rules, and reviewer checkpoints need to be present before AI-created marketing is published.
Content, channel, customer journey
One business brief can inform the outward message and the systems that receive the response, provided the appropriate people approve each step.
Build a more connected business.
Discuss your business systems, customer experience, and next implementation priorities with Marathon Automation.