AI POC Engagement Overview
This engagement assesses and proves the technical feasibility and business value of a high-priority AI use case. It concludes with a fully developed Proof of Concept (POC) and Demo Day, ensuring confidence before any production rollout.
AI Design Sprint (Day 1 & Day 2)
Day 1: Business & Use-Case Ideation
A strategic advisory session to identify, assess, and prioritise AI use cases with stakeholders.
- AI capability familiarisation
- Best-practice alignment
- Identification and prioritisation of business use cases
- Creation of the target use case and initial feature set
- Stakeholder discussions and feedback loops
Day 2: Technical Exploration & Solution Direction
A technical workshop focused on selecting the most suitable Microsoft technology for the chosen use case, such as Microsoft 365 Copilot, Copilot Studio, or Azure AI.
- Technical feasibility assessment
- Review of infrastructure and security requirements
- Integration and architecture considerations
- Early risk and governance review
AI Solution Blueprint Workshop
A deeper technical workshop to define the foundations and architecture needed for POC success.
- Technical feasibility review
- Architecture and integration planning
- Risk, security and compliance considerations
Data Readiness Check
Assessment of data sources, formats, access, sensitivity and volume.
Rapid Solution Build
Iterative development using pre-trained components across Copilot Studio and Azure AI.
- Prototype workflows and LLM integration
- Iterative refinement with business feedback
- Preparation of demo assets
Demo Day
Interactive demonstration of the POC and presentation of next steps.
- Working POC demo
- Value estimate and ROI discussion
- Roadmap and cost estimate for further development
- Recommendation for production readiness steps
Deliverables
- Working POC & demo assets (video, notebook, presentation)
- Feasibility & ROI report
- High-level deployment plan and cost estimate
- Risk & governance checklist