# Retail AI Envisioning Workshop

_Turn retail AI ambition into action. Our Retail AI Envisioning Workshop identifies high-value use cases and delivers a working AI solution in weeks._

✔ Identify high-value retail AI use cases

✔ Align business, digital and technology teams

✔ Deliver practical AI solutions in weeks, not years

The AI Envisioning Workshop was full of insight and genuine a-ha moments. We came away with a much clearer sense of direction and purpose, and we're now seeing the dividends.

Executive Leader and Director, Freight People and Cario

The fastest way to get started with AI is not a lengthy strategy document. It is identifying where AI can solve a real retail challenge and proving value quickly. Our Retail AI Envisioning Workshops and Minimum Lovable Product (MLP) builds help you do just that.

## Retail AI Envisioning Workshop (1 day)
                
Bring retail, customer, operations and technology leaders together to identify high-value AI opportunities, assess feasibility and select one use case for rapid delivery.

## Minimum Lovable Product (MLP)
                
Deploy a real, usable AI solution in your retail environment within weeks, designed to prove value quickly and create a foundation for future scale.

## Microsoft Copilot PoC (funded where eligible)
                
Use eligible Microsoft funding programmes to trial Copilot in Microsoft 365, helping your teams test practical applications while reducing the risk of wider adoption.

✔ A prioritised set of high-impact AI opportunities aligned with your retail strategy

✔ A practical use case selected based on business value and delivery feasibility

✔ A working AI solution in your environment, not just ideas on paper

✔ Evidence of potential ROI to support future investment

✔ Greater alignment across retail, digital, operations and technology leaders

### Why early wins matter

- Retail AI initiatives can lose momentum when strategy is not connected to practical delivery.
- Starting with a defined business challenge makes value easier to demonstrate and measure.
- Early wins build internal confidence, strengthen stakeholder support and inform future investment.
- Successful use cases can provide a repeatable foundation for AI across stores, ecommerce, customer service and operations.