Understanding your current state of AI Readiness, and where to go from here
Level 1: Integration Foundations Required (0-39%)
Status: NOT READY for AI Integration - Build Foundations First
What This Means:
Your systems are largely isolated with limited API access. AI Agents would have nowhere to connect, no data to retrieve, and no actions to execute. AI initiatives will fail due to integration barriers, not AI quality.
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Level 2: Integration Capability Building (40-59%)
Status: BUILDING Integration Infrastructure - 12-18 months to AI-ready
What This Means:
You've started building integration capabilities but coverage is incomplete, governance immature, and quality inconsistent. AI pilots might work in isolated contexts but can't scale due to integration gaps.
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Level 3: AI Integration Ready for Pilots (60-79%)
Status: READY for AI Integration Experiments - 6-12 months to production scale
What This Means:
Solid integration foundations enable AI Agent pilots. Systems are largely accessible via APIs, data is findable and reasonably high quality, security is strong, and platform engineering provides good developer experience.
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Level 4: Production AI Integration at Scale (80-100%)
Status: READY for Production AI Integration at Scale
What This Means:
Comprehensive, mature integration infrastructure enables AI Agents to access any system, retrieve any data, and execute any business process. Your integration platform is an AI enabler and competitive advantage.
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