Agentic innovation

Good ideas die in the backlog.

Most organisations know exactly what to build. Few have the capacity to build it. We change that.

The reality

Ideas are easy, execution is hard.

You can see the opportunities and know what would deepen the organisation's ability to compete. But teams are committed, budgets are tight, and creating capacity takes time you don't have.

Good ideas die in the backlog

The problem isn't ideas — organisations are full of them. It's transforming ideas into execution. Programmes take too long, costs increment, and value is hard to evidence before something tangible exists.

There's more to do than capacity to do it.

Ideas that could make the biggest difference get buried under other priorities. By the time capacity frees up, the opportunity has faded — or a competitor got there first.

Backing the wrong ideas

Organisations struggle to prioritise with confidence and can't validate assumptions quickly enough. That means building at risk and committing resource to projects that might fail.

The AI equation

AI amplifies whatever you feed it. Feed it expertise.

We pair your SME's with our Experts and AI engineers in a small, focused team to discover what matters most, define it precisely, and deliver working product.

Experts + AI

Deep knowledge shapes the brief. AI executes at speed. Quality at scale. Decisions grounded in experience. Output you can trust.

How we do it

Agentic Innovation Framework

Our proven framework allows us to understand your business priority, and deliver a production ready prototype that can be tested with your customers and stakeholders.

Ideation Workshop

Identify the highest value opportunities and define exactly what needs to be built — and why.

Backlog review Prioritisation Success criteria

Concept Sprint

Take your highest value opportunity from concept to working product, fast.

Rapid prototyping User testing Parallel streams

Continuous Delivery

Move quickly through your backlog, validating with real users at every stage.

Repeatable Scalable Evidence driven

Ideation Workshop

Find problems worth solving.

A focused workshop that aligns your team on what matters most — before a single line of code is written.

  • Explore — Explore your high level business challenges. Surface the ideas competing for attention.
  • Prioritise — Prioritise by impact, feasibility, and alignment with strategic goals.
  • Generate — Rapidly generate solution candidates worth exploring and define success criteria.
Post-it notes on a glass wall from an ideation workshop

Output

A prioritised backlog of validated ideas, ready for Sprint.

Concept Sprint

Collaborative Design

Your expertise meets our execution capability.

What happens

Our domain experts (UX, Product) and AI engineers work with your SMEs to shape the product and write a detailed requirements document. This becomes the precise blueprint for the entire build.

Why it matters

The quality of the brief determines the quality of the product. Deep domain knowledge combined with AI build expertise means every feature is grounded in real user needs, technically sound from day one.

Your role

Bring domain knowledge, user context, and strategic intent. Review and approve before it enters the build pipeline. You stay in control without doing the heavy lifting.

Concept Sprint

AI Powered Build

Building at speed, around the clock.

What happens

Our domain experts direct coding agents to build from the requirements specification. What used to take weeks now takes days. Your ideas become working products while traditional teams are still planning.

Why it matters

AI agents work around the clock, compressing timelines dramatically. Domain experts focus on shaping the product. Agents handle execution. Capacity is multiplied without adding headcount.

Parallel development

Multiple features progress through the pipeline simultaneously, each with its own brief and build cycle. Ship three ideas in the time it used to take to ship one.

Concept Sprint

Validation

Real users. Real data. Real confidence.

What happens

Working product in front of real users via remote usability platforms. Evidence gathered on engagement, usability, and market fit before committing further resources.

Why it matters

Investment decisions grounded in evidence, not assumptions. The business case writes itself — but we'll help you build it.

The outcome

Confidence to invest further, iterate on what you've learned, or redirect resources elsewhere. Clarity, not ambiguity.

In practice

We've been doing this across industries.

AI is already part of how we deliver. Here are three recent engagements where domain experts and AI worked together to ship new capabilities.

01

Example 01 / 03

User Research

Financial Services

What

Continuously validate new portal features for a global customer platform across multiple markets. Needed to synthesise vast research data at a speed traditional methods couldn't match.

How

AI assisted research analysis, persona creation and concept visualisation. Synthetic persona based users for first pass usability testing. Agentic solution candidate creation alongside UX, Engineering, and client SMEs.

Why it worked

Combining UX and engineering expertise with client domain knowledge, AI compressed insight to feature cycles. Time saved on analysis was reinvested into building dynamic prototypes, accelerating delivery.

02

Example 02 / 03

Intelligence Command Centre

Pharmaceutical & Healthcare

What

Analysts were overwhelmed by the volume of scientific and financial data needed to develop new drugs. Client recognised AI as part of the solution but lacked internal expertise to integrate and deploy it.

How

Worked with UX, Engineering, and domain SMEs (scientific and financial analysts) to identify and prioritise the most impactful features. Built a web ready interactive prototype using AI assisted feasibility assessment.

Why it worked

The client could validate the concept quickly and put a working prototype in front of stakeholders before committing to a full build. Evidence based confidence at every stage — not gut feeling.

03

Example 03 / 03

Digital Employee Experience

Retail & Telecommunications

What

A DEX app that had grown from a comms channel into an operational platform for retail managers. The React Native app had slowed as the system grew. A traditional replatform would have consumed months of budget with nothing new to show.

How

UX, Engineering, and client SMEs (Regional and Store Managers) collaborated to define requirements for a new native experience. Using existing API documentation, a new PRD was created and native iOS and Android apps were built by AI agents.

Why it worked

What would have been a costly maintenance exercise became a launchpad for growth. Three weeks to feature complete native apps restored performance and unlocked the platform for new capability delivery.

Mee app news feed
Mee app social feed

Let's talk

Start shipping now.

One call. We'll map your highest value opportunity and outline a clear path to delivery. No lengthy proposals, no waiting. Just momentum.

Weeks, Not Quarters

Idea to working product in weeks.

Lower Risk

Test with real users before committing.

No Permanent Overhead

Innovation on demand.

Evidence, Not Opinions

Every sprint ends with real user data.

Multiplied Capacity

AI agents handle execution at scale.

Parallel Development

Multiple features progress simultaneously.

Matt Goddard

Matt Goddard

+44 79 2042 7968 matt@uxconsultancy.com
Jeff Wellstead

Jeff Wellstead

+44 79 2188 8558 jeff@uxconsultancy.com