Phase 0: Discover

AI Use Case Discovery

95% of GenAI pilots fail to show ROI (MIT NANDA, 2025). In our experience the difference is rarely the technology - it's picking the right use cases and planning the path to production. 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 WHAT YOU GET TIERS HOW IT WORKS DELIVERABLES WHO IT’S FOR GET STARTED

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, anchored by an upfront Strategic Alignment step:

Business Process Analysis
Use 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

Phase 0: Discover
Prerequisite: Assessment recommended
Next steps: Implementation + Workload Starter

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
Every prioritized use case comes with its infrastructure footprint - so the output is not just a backlog, it's a sizing basis for the platform that will run it.
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

TIER	USE CASES	SIZE	DURATION
Essentials	Up to 3	Single business unit	1 week
Standard	Up to 7	Multiple business units	2-3 weeks
Premium	Up to 15	Enterprise-wide	4-6 weeks

How It Works

Strategic Alignment

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

Business Process Analysis

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

Use Case Definition

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

Feasibility Assessment

Feasibility scoring for each use case (data, infrastructure, governance, staff).

Value Assessment

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

Prioritization

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

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

This is for you if...

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.

Start with a free assessment