Run an intelligence readiness check.
Assess your data, processes, and infrastructure. Get a clear starting point.
Signal and readiness capture
Describe your context. We assess three dimensions of readiness.
Example: “500 daily customer calls, CRM data, 3 legacy systems, GDPR requirements”
Data Readiness
Quality, accessibility, and governance of your signal sources.
Process Maturity
How well-defined and measurable your current workflows are.
Technical Infrastructure
Compute, networking, and deployment capability for AI workloads.
Readiness bands
Your aggregate score maps to a deployment band. Each band has a clear path forward.
Early stage — signals exist but systems need alignment. Start with discovery and signal mapping.
Recommended: Discovery workshop
Data and processes can support a controlled pilot. Deploy one capability and measure.
Recommended: Scoped pilot deployment
Infrastructure, data, and governance are mature. Ready for multi-capability production systems.
Recommended: Full system deployment
Suggested system path
Based on readiness level, a recommended starting capability and deployment pattern.
Indicative only. Not a guarantee. Readiness scores are illustrative and based on typical signal patterns.
Ready to move forward?
Talk to the AI Architect to validate your readiness and define next steps.