01Mobile Streams

Research & exploration

Markets, audiences, and product opportunities explored faster, turning early questions into tangible starting points.

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Case study

Mobile Streams. Introducing AI into creative and product workflows

Product design and AI advisory

Mobile Streams needed AI to be more than a productivity trick, they needed it woven into how the team researched, prototyped and pitched.

We got hands-on with leadership, built a maker-led approach to AI adoption, and gave the business real confidence in how it builds what's next.

Overview

Helping leadership move AI from exploration into everyday creative and product capability.

As product design and AI advisors for Mobile Streams, we worked directly with the leadership team to explore how AI could support the company's creative, product, and business development workflows.

Rather than relying solely on external design and development cycles, AI could help leadership research opportunities, generate creative directions, prototype concepts, and prepare stronger outputs for board and pitch meetings.

The challenge

Early-stage ideas stayed abstract for too long when creative exploration depended on external availability.

Mobile Streams operated as a lean business, with much of its creative and design execution supported by external partners. This created flexibility, but also introduced friction when exploring early-stage ideas.

The challenge wasn't simply introducing AI tools.

It was helping leadership understand how AI could become part of the company's creative and product operating model.

Concepts could take time to visualise
Creative exploration was dependent on external availability
Product ideas often remained abstract for too long
Prototypes for pitches and board discussions required additional effort
AI tools were emerging quickly, but there was no clear view on where they could create practical value

Our role

Direct advisory work with leadership to introduce practical AI workflows and a maker-led mindset.

We partnered directly with the leadership team in an advisory role, providing guidance on how AI could be introduced into the business in a practical and focused way.

The focus was not on building a large internal design function.

It was about giving leadership the capability, confidence, and workflows to move faster.

Advising leadership on AI adoption opportunities
Researching and evaluating emerging AI tools
Identifying where AI could support creative and product workflows
Introducing AI-assisted research, ideation, and design practices
Guiding the business towards a maker mentality through tools such as Cursor
Helping translate ideas into tangible prototypes for pitches, board meetings, and product exploration

The vision

AI embedded into everyday workflows rather than treated as a separate technology initiative.

The key shift was moving AI from a topic of exploration to a practical creative and product capability, embedded into everyday workflows rather than treated as something separate from the business.

Maker-led workflows turned abstract discussion into tangible prototypes.

Research

Faster exploration of markets, audiences, competitors, and product opportunities.

Creative direction

Rapid generation of ideas, narratives, visual territories, and campaign concepts.

Product prototyping

Using tools such as Cursor to move from concept to interactive prototype more quickly.

Stakeholder communication

Creating stronger, more tangible outputs for board discussions, client pitches, and strategic decision-making.

Key design principles

Lightweight adoption, practical workflows, and human judgement at the centre.

AI as a creative accelerator

AI was positioned as a way to expand creative exploration, not replace human judgement.

Maker mentality

The business was encouraged to move beyond discussion and create tangible prototypes that could be tested, shared, and refined.

Practical adoption

The focus was on immediate, useful workflows rather than abstract AI strategy.

Lightweight operating model

For a smaller business, AI adoption needed to be simple, flexible, and easy to apply without adding unnecessary process.

Impact

An advisory engagement that created a foundation for AI-enabled ways of working.

Although this was an advisory engagement rather than a traditional product delivery programme, the work helped Mobile Streams build confidence in practical AI adoption.

AI became a hands-on capability for accelerating ideas, decisions, and opportunities.

Established a clearer approach to AI adoption
Identified practical use cases across creative and product workflows
Reduced creative blocks through AI-assisted exploration
Sped up the creation of concepts and prototypes
Improved the quality of outputs for pitch and board meetings
Built confidence in using tools such as Cursor to support product thinking
Created a foundation for future AI-enabled ways of working

Reflection

The real value comes from helping leadership understand what is possible and where to focus.

This work reinforced that AI adoption is rarely just about tooling. For smaller businesses, the real value comes from helping leadership understand what is possible, where to focus, and how to build confidence through practical use.

By introducing lightweight workflows and a maker-led mindset, AI became less of an abstract technology trend and more of a hands-on capability for accelerating ideas, decisions, and opportunities.