AI
Activation
Sprint

Format & Sessions

  • 5 main sessions, 10 sub-sessions

  • Spread across 1– 4 weeks

  • Splitted into 3 modules

  • Delivery Format: On-site or remote.

Prerequisites

To ensure an efficient sprint, we recommend a light preparation phase to gather key context and assets..

  • Access to 2–3 pain points or early AI ideas from the field

  • High-level data map (systems used, data types)

  • Willingness to share operational constraints (processes, tools, IT landscape)

Stakeholders

Cross-functional sprint to ensure business relevance, technical feasibility, and organizational alignment.

  • Business Leads: Product owner, operational sponsor

  • Data/IT Teams: Data owner, IT architect

  • Executive Sponsor: Strategic leaders

  • (Optional): End-user representatives

Workshop Planning 

Module #1

Strategic Focus
& Opportunity Framing

Day 1 - Build Strategic Focus

1- Identify high-potential business areas where AI can create measurable value by mapping industry best practices to client-specific priorities.

2- Translate business pain points into AI hypotheses and assess initial feasibility across data, tech, and organizational readiness.

Day 2 - Use Case Qualification & Deep Dive

1- Select and frame 2–3 priority use cases per team with clear problem definition, business value, and success KPIs.

2- Estimate impact, delivery effort, and key risks to validate business case and delivery viability.

Module #2

Use Case Qualification
& ROI Modeling

Day 3 - Roadmapping & Governance Structuring

1- Define MVP scope, timeline, and delivery track for each use case — aligned with business users and data owners.

2- Establish project ownership, decision-making roles, and estimated budget for execution.

Day 4 - Technical Readiness & Solution Architecture
11- Audit required data for each use case — location, quality, and accessibility — to confirm feasibility.

2- Design a lightweight, production-ready architecture aligned with client infrastructure and integration constraints.

Day 5 - Synthesis & AI Activation Plan

1- Consolidate findings and select the most valuable, feasible use case(s) for MVP

2- Align leadership around a clear delivery plan with scope, team, KPIs, and support model.

Module #3 Operational Roadmap
& Delivery Planning 

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