Service
AI Readiness Assessment
Establish an objective baseline across process, data, systems, governance, and use case feasibility—before committing capital to build.
Why readiness comes first
Most pilot failures trace to unclear workflows and weak data—not model choice. A readiness baseline aligns investment to operational reality.
What we assess
Process readiness
Workflow clarity, decision ownership, and exception handling paths.
Data readiness
Quality, availability, lineage, and accessibility for candidate use cases.
System readiness
Integration feasibility and operational constraints across your stack.
Governance readiness
Control requirements, audit expectations, and adoption risk.
Use case feasibility
Business value and practical fit to workflows—ranked by implementation risk.
What you receive
- •Process maps with decision points
- •Data maps and source inventory
- •Gap analysis across process, data, systems, and governance
- •Readiness score with documented assumptions
- •Prioritized use case shortlist
- •Sequenced AI roadmap aligned to funding gates
Typical timeline: 2-4 weeks
Illustrative readiness index
For alignment purposes only—not a productized score. Used to focus stakeholder conversation before pilot funding.
Build on evidence, not assumptions.
We shape the assessment to your operating environment and surface what must be resolved before investment moves forward.