Agentic AI marks a shift in how AI is used.
AI no longer just supports decisions. It acts inside live business operations.
For data and AI teams, the challenge isn’t building agents.
It’s ensuring those agents act on data that can be trusted at decision time.
Agentic AI depends on three foundations:
- Live data that reflects what’s happening now, not as of your last copy
- The right data, enriched with shared business semantics and context
- Guardrails built into the agent, so AI actions remain governed and explainable
Without these foundations, AI action becomes fragile: hard to scale, hard to govern, and impossible to defend.
The Agentic AI Readiness Briefing explores what data and AI leaders are navigating now:
- AI Adoption slowed by lack of organizational trust
- Incomplete or inconsistent governance, resulting in AI acting outside its intended guardrails
- Growing pressure to deliver measurable business outcomes, not experiments
AI only matters when it moves a business KPI.
This briefing shows how trusted data foundations make that possible.
