AI Agent Readiness & Governance
AI Agents offer a significant opportunity to improve productivity, reduce manual effort and embed intelligence directly into business processes. They can support teams by handling repetitive tasks, improving consistency and coordinating activities across systems.
Challenges Faced:
Many organisations need to modernise how they engage with customers, partners and stakeholders. However, they are often held back by legacy systems, manual processes and disconnected technologies.
Users now expect secure, self-service access to information and services.
Without it, organisations face inefficiencies, higher costs and limited visibility. At the same time, they must meet security, compliance and governance requirements while building a platform that can support future growth.
Why Readiness Matters:
Taking a structured approach upfront helps reduce the risk of uncontrolled agent growth, unclear ownership, data exposure, compliance issues and avoidable rework.
What It Covers:
Governance and control framework
Define who can create, approve, publish and manage agents, with clear ownership and accountability.
Security, compliance and data protection
Review access controls, identity, data boundaries, confidentiality requirements and potential data exposure risks.
Platform and tenant readiness
Assess Microsoft 365, Copilot Studio and Power Platform configuration to identify gaps before scaling.
Licence and cost management
Build visibility around licensing, consumption, cost ownership and future scale planning.
Agent lifecycle and operations
Define how agents will be governed from creation through to retirement, including monitoring and operational responsibilities.
Agent store readiness
Prepare for the introduction, publishing and management of organisational agents at scale.
How We Deliver It:
- Kick-off and current state review
- Governance and administrative controls
- Security, compliance and data protection
- Platform readiness and tenant configuration
- Licensing and cost governance
- Agent lifecycle and operating model
- Agent Store readiness and final review
What You Will Receive:
- A clear view of your readiness to adopt AI agents
- A defined governance model and control approach
- Agreed roles, responsibilities and approval processes
- Security, compliance and data considerations
- A practical understanding of platform and licensing implications
- A prioritised set of actions and next steps
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