Why your enterprise needs a modern data and integration foundation before AI agents can deliver real value. The executive brief.
Most enterprise agent deployments underperform or fail because the data foundation isn't ready for them.
The Problem in 30 Seconds
Your Data
Scattered across dozens of systems. Hours or days old. No single source of truth.
Your Integrations
Point-to-point spaghetti. Brittle. Every new connection takes weeks of custom work.
Your Agents
Can't access the data. Can't reach the systems. Expensive, underperforming, or both.
Gartner predicts 40% of enterprise AI agent deployments will be canceled by 2027. Most of those failures will trace back to infrastructure gaps, not model limitations.
Deploying agents on a weak foundation compounds the problem. Agents generate output at machine speed on whatever infrastructure is underneath them. Agents generate code at machine speed on that foundation, compounding technical debt faster than any human team could. What took years to accumulate can double in months.
The Fix: Two Things
Unify Your Data
Before
•Data lives in separate systems. Reports are hours or days old. Agents work with stale information.
After
•One data platform. Real-time. Agents see the same numbers your team sees, instantly.
Business Impact
•Decisions based on current reality, not last night's batch.
→
Modernize Your Integrations
Before
•Systems connected by custom code nobody understands. Adding a new tool takes weeks. Agents can't plug in.
After
•Clean, standard interfaces that any system, or agent, can discover and use immediately.
Business Impact
•New capabilities deployed in days, not months. Agents plug in automatically.