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AI Innovation & Transformation

From ambition to operating capability.

A note for your client on closing the distance between a strong list of ideas and the small number of things that are genuinely worth building.
AWS AI & Data Strategy
Prepared for your client
The frame

What this is for.

Your client has a clear destination and a serious ambition. The job of this programme is not to invent the ambition, it is to turn it into a small number of things worth building, and to build the shared conviction to move on them.

It is structured to be done with your teams, not to them. Each group keeps ownership of the work, so what comes out of the room is theirs to carry, not ours to hand over.

The Innovation Cycle

Where this sits.

The Innovation Cycle is a five-step model for taking a business from a foggy sense of opportunity through to a built, adopted outcome. Every session in the programme is a place on this cycle.

1

Find the Friction

A bird's-eye scan to surface tension, blind spots, opportunity areas and unmet needs.

2

Shape the Opportunity

Isolate and prioritise the candidates that matter most. Define objectives, personas, impact and dependencies.

3

Work Backwards from the Customer

For each priority that earns it. Unpack the real-world pain and co-design the future from the customer back.

4

Design the Future

Bring the solution to life through storyboards, mockups, experience flows and capability maps. A vision people can see.

5

Deliver with Adoption in Mind

Build small, learn fast, scale what works. Front-loaded foundations, early wins, adoption designed in from the start.

A real-world example

The cycle in action.

This is an anonymised example from a large organisation that went through the full cycle. The brand is removed, the shape is exact. Strong work was happening inside each part of the business, but there was no shared foundation and no agreed place to start.

What changed

A single landscape session at step one surfaced the opportunity areas across the business. Structured opportunity briefs at step two revealed that the same foundational blockers kept reappearing, so one shared foundation could serve many candidates. One anchor candidate was chosen by consensus, and it was in users' hands within sixty days. What changed was not just the prototype, it was that every leader in the room could see the same picture and agree where to move first.

Your client sits in a similar position: strong pockets of work, but no shared foundation and no agreed anchor. This programme is designed to produce exactly that.

The shape of the day

A typical Executive Briefing.

A full day with your leadership, out of the business, no cost and no obligation. It is not a technology pitch. It opens with where AI is going in your sector, shows what good looks like from those who went first and from Amazon's own operations, puts the room hands-on, then pivots to what it means for how your client actually works, and closes on an agreed next step. This is an illustrative shape, tailor it to the room.

TimeSessionLed by
09:00
Breakfast & arrival
Account team
09:30
Opening: welcome & scene setting
Why we have pulled this day together, and where AI is heading for your sector.
Account team & Industry Lead
10:00
AI transformation of your industry
How AI is reshaping your sector, with applied proof points and the ROI behind them.
Industry Lead
10:40
Break
10:50
Operations at scale: lessons from Amazon
AI and automation across operations. Availability, cost and productivity, and what it took.
Operations specialist
11:30
Inspiration from the disruptors
How AI-first companies operate differently. An external or partner voice.
Guest speaker
12:10
Working lunch
13:00
Builder Studio: hands-on immersion
The room moves through live demo stations. Best hosted in an AWS Builder Studio.
Builder Studio team
13:45
Agentic AI in production
A live agentic experience, and what it could unlock for your client.
Specialist SA
15:00
Break
15:15
AI and the operating model
What AI adoption means for roles, processes, accountability and pace. The pivot to how you actually work.
AWS Data & AI Strategy
15:45
Closing: wrap-up & next steps
Reflections, takeaways, and an agreed first step before anyone leaves.
Account team & your client sponsor
Tip: click any cell to edit. Times, sessions and owners are all yours to change.
Who to bring

Who is in the room.

An executive briefing lands when the right people are in the room on both sides. This is a guide, tailor it to the day and the topics above.

From your client
  • The CEO or MD, with the operating-board members who own the P&L
  • The CFO, for the value and investment lens
  • The CIO or CTO, for feasibility and the technology estate
  • The Chief Data or Digital Officer
  • The strategy and transformation leads
From AWS
  • Account team: the account manager and the customer success manager
  • Industry lead, for the sector proof points
  • An operations or domain specialist for the at-scale session
  • A specialist solutions architect for the agentic session
  • A Data and AI strategist for the operating-model session
  • Optional: an external or partner voice, and the Builder Studio team if you host in a studio
For your client

Where this starts for you.

You are further along than most. The early value is not in generating more ideas, it is in choosing well and building the shared conviction to move. The first step is the lightest one: the day already on the table. From there, the cycle carries the work from friction to a built, adopted outcome.

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