Operating Model and Governance
Overview
As AI evolves from experimentation to enterprise-wide adoption, many organisations encounter new challenges: Who owns AI decisions? How do we govern model use? Are we compliant with data and algorithmic laws?
Our Operating Model and Governance service addresses these challenges head-on. We work with your leadership and technical teams to design a holistic operating model that balances agility with control, innovation with accountability, and autonomy with oversight.
From defining roles and responsibilities to implementing ethical AI standards, we ensure you’re equipped to deploy AI not just efficiently—but safely, ethically, and at scale.
Objective
To provide a repeatable, scalable, and ethical framework for managing AI across the organisation—ensuring governance keeps pace with innovation.
Focus Areas
- Defining AI ownership and decision-making rights
- Creating ethical and responsible AI guidelines
- Navigating legal and compliance frameworks
- Monitoring bias, explainability, and model drift
- Empowering business and tech teams to work together
What We Offer
- Custom AI operating model design: Structure teams, workflows, and roles
- Governance frameworks: Establish oversight for every phase of the AI lifecycle
- Policy development: From model documentation to auditability
- Ethics integration: Build trust through fairness, transparency, and inclusivity
- Ongoing monitoring systems: Track AI performance, bias, and drift over time
Frequently Asked Questions
