AI Readiness & Use Case Prioritization (1-Week)

A one-week consulting engagement to rapidly assess AI readiness and define 3–5 high-impact AI use cases with measurable KPIs, data needs, guardrails, and a clear Start Plan—mapped to the Microsoft AI stack.

Move from AI ideas to execution-ready use cases in one week, backed by feasibility checks, measurable value hypotheses, and Microsoft technology mapping.

At a glance

Duration: 1 week
Output: 3–5 implementation-ready use case briefs + prioritized backlog (10–20 candidates)
Included: KPIs, data/integration needs, security & compliance considerations, guardrails, and a Start Plan
Microsoft mapping: Microsoft 365 Copilot, Azure AI Foundry, Microsoft Fabric, Copilot Studio

Overview

Why this engagement
Many organizations are excited about AI but struggle to choose the right first bets—use cases that are measurable, feasible, and aligned to business priorities. Teams stall when data constraints, security requirements, and stakeholder alignment aren’t clear.

What we do
In one week, we run targeted interviews and facilitated workshops to identify AI opportunities, score them by impact vs. feasibility, and convert the top candidates into implementation-ready use case briefs. Each recommendation is mapped to the Microsoft products and services that best support execution and responsible scaling.

What you leave with
You receive an executive-ready package: a prioritized backlog with 3–5 complete use case briefs and a practical roadmap to start delivering.

What we deliver

AI Readiness Snapshot (Executive Brief): readiness across data, identity/security, governance, and adoption; key constraints, risks, and recommendations.
Prioritized Use Case Backlog (10–20 candidates): scored by value, feasibility, data readiness, adoption effort, and risk; quick wins vs. foundational enablers identified.
Top 3–5 Use Case Briefs (Implementation-Ready): problem statement & target users; KPI/ROI hypothesis; in-scope/out-of-scope; required data sources & integrations; security/compliance guardrails; recommended Microsoft architecture; effort assumptions & dependencies.
Start Plan: sequencing and next steps; tools & dependency checklist; recommended approach (including foundation-first options where needed).
Executive Readout: summary of recommendations, decisions, and a clear what to do next plan.

One-week working plan

Day 1 — Align & Assess: kickoff, success criteria, stakeholder interviews (business + IT), and constraints inventory (data access, security, compliance, operating model).
Day 2 — Discover Use Cases: workshop from business challenges to AI opportunities; define value drivers and measurable KPIs; initial Microsoft stack mapping.
Day 3 — Prioritize: score and rank use cases (impact vs. feasibility); identify quick wins and foundational enablers; select top 3–5 for deep definition.
Day 4 — Define Top Use Cases: build use case briefs (scope, KPIs, data/integrations, guardrails); draft reference architecture; confirm dependencies and candidate owners.
Day 5 — Executive Readout: present prioritized backlog and use case briefs; confirm 30-day Start Plan and next steps; hand off final artifacts.

Prerequisites

Executive sponsor and 3–6 stakeholders for interviews/workshops
High-level business priorities and target KPIs
Known data sources and access constraints (lightweight input is fine)
A point of contact for security/IT guidance (as needed)

Microsoft products & services supported

Microsoft 365 Copilot
Microsoft Fabric (OneLake, Lakehouse/Warehouse, Power BI)
Azure AI Foundry

Professional Services

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