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Phase 0: Discover

AI use case discovery

95% of AI projects fail not because of technology, but because organizations pick the wrong use cases. Our Discovery Framework is a structured engagement that maps your business processes, identifies AI opportunities, scores feasibility and ROI, and produces a prioritized backlog with pilot plans. You come out knowing exactly what to build, in what order, and why.

Overview

The AI Use Case Discovery Framework helps you identify where AI can deliver meaningful business value while managing technical complexity, governance requirements, and organizational readiness.

The framework covers six phases:

  • Business Process Analysis
  • Case Definition
  • Feasibility Assessment
  • Value/ROI Assessment
  • Prioritization
  • Pilot Planning

This addresses the common challenge: Organizations invest in AI infrastructure but struggle to actually create value.

Quick facts
Pricing: $15K / $35K / custom
Prerequisite: Assessment recommended

What you get

  • Structured framework workshop covering business process analysis through pilot planning
  • Feasibility scoring across technical, data, and governance dimensions
  • ROI and KPI creation with calculations per use case
  • Prioritized AI Use Case Backlog ranked by value, feasibility, and time-to-value
  • Pilot plans for top-priority use cases with success and kill criteria
  • Executive summary with clear recommendations for next steps

Framework Principles:

  • Business-First: Start with business problems, not technology capabilities.
  • Evidence-Based: Ground decisions in measurable outcomes and realistic assessments.
  • Risk-Aware: Consider governance, security, and compliance from the outset.
  • Iterative: Plan for rapid validation before scaling investment.

Three tiers, flexible scope

TIERSCOPEPRICE
Essentials3-5 use cases, single business unit$15,000
Standard5-10 use cases, multiple business units$35,000
Premium10+ use cases, enterprise-widecustom quote

How it works

1. Strategic Alignment

Set the strategic context, ensure use cases are paying into strategic priorities, build executive sponsorship.

2. Business Process Analysis

Map candidate business processes, identify pain points and AI opportunity indicators.

3. Use Case Definition

Define each use case with stakeholders, classify by type (Content Gen, Summarization, Q&A/RAG, Classification, Reasoning, Agents).

4. Feasibility Assessment

Feasibility scoring for each usecase (data, infrastructure, governance, staff)

5. Value Assessment

Calculate ROI per use case, define KPIs, set quality thresholds based on risk level.

6. Prioritization

Rank use cases by business value, feasibility, time-to-value, and strategic alignment. Select top 1-3 for pilot.

7. Pilot Planning

Design pilot plans with scope, success criteria, and kill criteria.

Deliverables

  • Prioritized AI Use Case Backlog with feasibility and ROI scores
  • Business Process Analysis report
  • Feasibility Assessment per use case (technical, data, governance)
  • ROI/KPI framework with calculations per use case
  • Pilot plan for top-priority use cases
  • Executive summary with recommended next steps

Who it's for

This service is ideal for organizations that have AI ambitions but need help identifying and prioritizing where to start. It's particularly valuable when multiple business units are competing for AI investment, or when leadership needs a data-backed case for AI spend.

Typical participants include C-suite sponsors, business unit leaders, data science leads, and IT/platform engineering.

Find out what to build first

Start with a free AI Journey Assessment, or go straight to Use Case Discovery if you already know your gaps.