A structured engagement methodology that uses AI-powered research and specialized advisory expertise to surface where AI can create transformational operational value in regulated industries. ARIA produces a prioritized, evidence-based AI Strategy Roadmap.
ARIA alternates between advisor-led analysis stages and structured client meetings. Analysis stages are where research is conducted, discovery is synthesized, and the final roadmap is produced. Meeting stages are where the advisor works directly with the client.
Each stage has a defined purpose, structured inputs, and specific outputs. Expand any stage for a full description and links to the ARIA tools for that stage.
The ARIA Research Tool conducts structured, AI-powered research on the client — surfacing company context, technology environment, regulatory signals, and initial use case candidates. The advisor reviews and validates the output before any client interaction. This stage produces two documents: the ARIA Research Brief (advisor preparation) and the ARIA Discovery Guide (working document for the session).
The advisor uses the ARIA Discovery Guide to structure the conversation across Process, Decide, Communicate, and Monitor. After the session, the advisor uploads the completed Guide and transcript. ARIA produces three documents: the ARIA Initial Discovery Analysis and two tailored readiness questionnaires sent to the client within 24 hours.
After both questionnaires are returned, ARIA applies use case qualification gates, runs a completeness check against the relevant industry AI landscape, and drafts readiness scores. The output is the ARIA Final Discovery Analysis (Draft) — the first client-facing document. The advisor validates all qualification decisions and readiness scores before sending.
With the readiness questionnaire completed and the Final Discovery Analysis in hand, the advisor and client work through each candidate use case to assess what is achievable given the client's actual environment. This session produces the validated, qualified use case set that the AI Strategy Roadmap will be built around.
The advisor synthesizes all discovery and qualification inputs into the AI Strategy Roadmap. Use cases are prioritized using three weighted dimensions: technical readiness, business urgency, and relative ROI. High Value combined with Low Investment identifies lead candidates. Preparation workstreams are identified and sequenced. The roadmap is the actionable output the client receives.
Every ARIA discovery conversation is structured around four lenses that ensure AI opportunities are explored systematically across the full operational landscape, including areas the client would not typically identify on their own.