AI maturity scoring, portfolio audit, use-case prioritization, and a roadmap that ties every initiative to a business number. Delivered in 12 weeks.
Our assessment runs two tracks at once: a maturity assessment and a portfolio audit. We use our own scanning agents alongside in-person interviews and leadership conversations. Not just a survey link.
Common goals for AI use, adoption levels, methodology for use-case identification, governance, cost visibility, data availability and quality.
Discovery of AI assets, deployment status, DevOps & SecOps, usage and performance, owners, metrics/KPIs, workflow integrations.
You leave with ranked use cases and the tools to keep scoring on your own.
Evaluation of data readiness, talent, infrastructure, and governance against industry benchmarks. Delivered as a live dashboard.
A templated tool with KPIs for assessment and prioritization based on impact, complexity, and readiness.
A standard operating procedure to deploy, measure, and govern AI implementation across the enterprise.
Tailored to maturity, a roadmap based on the maturity assessment and business objectives, built to protect against disruptive models.
Our scanning agents deploy inside your infrastructure. We pair them with leadership interviews and team-level walkthroughs, not a survey link and a report three months later.
Deploy our scanning agents. Initial leadership conversations. Detailed plan for the remaining 10 weeks.
AI Maturity Model Report. AI Inventory Dashboard. Exceptions and opportunities report. Use-case effectiveness assessment.
AI Roadmap delivery. Use-case prioritization tool. Training and change management workshops.
Prior authorization workflows, claims fraud patterns, referral management, medical charts intelligence, policy generation, assessed and prioritized by people who’ve been inside payer operations.
TMF audit readiness, regulatory submission pipelines, pharmacovigilance signal detection, MLR review acceleration. Assessed against FDA and EMA compliance requirements.
Shrink and loss prevention, planogram compliance, demand forecasting, cold-chain telemetry, workforce scheduling, supplier negotiation. Assessed for operational ROI.
Claims fraud detection, indirect procurement transformation, cost savings identification, finance and ops automation. Assessed against spend-under-management KPIs.
Our assessment consolidated 43 fragmented AI pilots into a single governed portfolio for a US national health plan. The maturity scorecard revealed that 80% of initiatives had no KPI linkage. After prioritization, 12 use cases advanced to Implement, generating $7.5M+ in annual savings and a 37% measured contribution to FY24 business objectives.
Getting an honest read on where you stand is harder than it sounds. We’ve done this enough times to make it less painful.