AI Agents Readiness

I came across a useful document to read about the pillars and practices of agent readiness.  To be successful there must first be an AI strategy.

Organizations must approach strategy across four key dimensions:

• Define high-impact use cases that deliver measurable business outcomes.
• Choose Microsoft AI technologies that complement your team’s existing capabilities and accelerate adoption.
• Build scalable data governance frameworks to ensure consistency, security, and operational resilience.
• Embed responsible AI practices that foster trust, transparency, and regulatory alignment from the outset.

This approach applies across the spectrum, from agile startups and mission-driven nonprofits to large enterprises and public sector institutions, ensuring that AI delivers value with integrity and scale.

To help you get started there is a helpful document to read. The five pillars from the Microsoft AI Strategy document are:

• Business Value: Identify AI use cases that deliver measurable outcomes aligned to strategic goals.
• Technology Alignment: Select Microsoft AI technologies that match your team’s existing skills and infrastructure.
• Data Foundations: Establish scalable data governance and lifecycle management to support AI readiness.
• Responsible AI: Implement ethical and regulatory frameworks to preserve trust and ensure compliance.
• Organizational Readiness: Build cross-functional collaboration, change management, and leadership alignment to support adoption.

These pillars are designed to guide organizations of all sizes from startups to public sector institutions toward sustainable, impactful AI transformation. There is an  Agent Readiness Assessment to help evaluate your organization’s readiness across strategy, technology, process, culture, and governance.