Skip to content

1. Discovery & Strategy

Purpose

Objectives, key activities and deliverables of Phase 1: identifying the right problem and assessing feasibility for an AI project.

1. Objective

The primary objective of the Discovery phase is to identify the right problem and verify that we are ready to start an AI project.

Key result: A clearly defined problem with a substantiated hypothesis that AI is the right solution, including an initial risk inventory.

[!TIP] The Fast Lane For projects with a Minimal Risk level and an Instrumental/Advisory mode (Mode 1 & 2) we offer an accelerated route. Following a positive Risk Pre-Scan (Gate 1), a limited Validation pilot can be started directly. See Fast Lane for details.

2. Entry Criteria (Definition of Ready)

Before this phase starts, the following conditions must be met:

  • A business sponsor is in place who recognises the problem and has allocated budget.
  • The problem cannot be trivially solved with existing tools or processes.
  • There is willingness to share data and processes for analysis.

Case study

See Case Studies — Scenario 1: Internal Knowledge Bot for a conceptual example of the Discovery phase in practice.

Templates for this phase:

Further reading within this phase:

Next step: ➡ Phase 2: Validation