AI Use Case Sprint

Sprint to scope, prioritise and prototype AI use cases, assessing value, risks, data and feasibility.

  • RFC SERVICE
  • AI automation at scale
Customer challenge

Move from ideas to priority applications

AI ideas remain vague and difficult to prioritise. Choose a realistic use case before scaling it for production.

  • Starting point

    AI ideas remain vague and difficult to prioritise.

  • Promise

    Qualify and prototype targeted AI use cases.

  • Decision

    Choose a realistic use case before scaling it for production.

AI SHIFT

Integrate AI into business activities

Rapid prototyping, feasibility scoring and controlled MVP.

RFC approach

A structured approach to action

Each step specifies the actions, deliverables and decisions to prepare.

  • Scope

    Define the expected decision, scope and stakeholders.

  • Assess

    Analyse available evidence to assess gaps and their consequences.

  • Prioritise

    Present findings and organise actions according to impact and feasibility.

Let's discuss your context

Talk to an RFC expert

Describe your priorities, constraints and projects to prepare a discussion with the relevant teams.

Technologies used

Platforms suited to the service's processes, data and integrations.

  • Azure AI Foundry
  • Azure Machine Learning
  • Azure Data Factory
  • Power BI
  • SQL Server
Let's discuss your context

Talk to an RFC expert

Share your context, priorities and constraints. Our experts help you structure an IT journey aligned with your transformation goals.

Tell us about your challenges

Share your priorities to prepare for a focused discussion.