A quantified plan that ranks AI opportunities by value, feasibility, and risk—paired with a 90-day pilot path and governance.
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Readiness & Maturity Assessment turns scattered initiatives into a single, prioritized plan. We quantify value, risk, and feasibility; analyze data readiness for RAG/ML; and align outcomes to OKRs. The result is a clear, sequenced backlog that teams can execute—without guesswork or vendor lock-in.
We collect inputs (KPIs, costs, cycle times, error rates), audit data and integrations, then score use cases by impact, effort, risk, and time-to-value. Capacity and compliance constraints are factored in. The top candidates become a thin slice with evaluation gates and change-management built in.
A production-oriented package: a ranked use-case matrix, 90-day pilot plan, dependency and integration map, data/RAG readiness report, budget and staffing model, and KPI tree with dashboards. You’ll know what to build, in what order, and how to prove value at each step.
Responsible AI from the start—policy-as-code guardrails, access controls, audit logs, and evaluation suites. We define quality and safety metrics, set approval workflows, and document decisions so your roadmap can scale under enterprise standards.
A quantified plan that ranks AI opportunities by value, feasibility, and risk—paired with a 90-day pilot path and governance.
KPIs, process metrics, cost drivers, existing systems, data sources/quality, risk posture, and constraints (e.g., compliance, teams).
We score by impact, effort, risk, and time-to-value; then layer in data readiness, integration complexity, and change-management needs.
Two weeks for a draft roadmap; 8–12 weeks for a production pilot of the top use case with measurable KPIs.
Privacy-by-design, least-privilege access, audit logs, and policy checks. We align to enterprise standards and document controls.
Yes—roles, skills, and a budgeted plan with options (build, buy, extend) and cost controls for models, data, and operations.
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