A structured approach to validating digital ideas before committing full team resources. Move from innovation backlog to validated concepts, fast.
Every organisation has an innovation backlog full of promising ideas. But too many compete for the same limited resources, validation cycles are slow, and the best concepts stall before they ever reach a user.
A structured workshop to make sense of your innovation backlog. We review, challenge, and prioritise ideas so you leave with a clear view of what to build first and why.
A focused delivery cycle that takes prioritised ideas from concept through to validated prototype. Multiple features can progress in parallel through design, build, and user testing.
Start with an Idea Generator to align on priorities, then run Concept Sprints to validate and deliver. The two modes work together as a continuous innovation cycle.
A focused workshop to align on what matters most
Assess existing ideas against current priorities and strategic goals
Prioritise by value, feasibility, and alignment with user needs
Define measurable outcomes so validation is objective, not subjective
Bridge the gap between what's desirable and what's deliverable
Outcome: A clear, validated product roadmap with features ready for development
Combining domain expertise with AI powered execution
Domain expert and AI Engineer work together to design the feature and co-create a detailed PRD. The PRD becomes the precise brief for the agentic build.
Coding agents build and deploy from the PRD. What used to take weeks now takes days.
Test with real users via remote usability platforms. Get evidence based go/no-go decisions, not opinions.
This approach enables parallel development streams. Multiple features can progress through the pipeline simultaneously.
Identify and scope a high-value concept from the backlog.
SME and AI Engineer co-create the design and detailed brief.
AI agents build the feature from the PRD specification.
A working, deployable prototype ready for testing.
Validate with real users via remote usability testing.
Evidence-based go/no-go decision before full investment.
AI agents work around the clock, compressing build timelines dramatically
Detailed PRDs ensure consistency and precision across every feature
Domain experts think and validate. Agents execute. Capacity is multiplied.
Compress the journey from idea to validated prototype from months to weeks
Test assumptions early and often, before committing full team resources
A repeatable framework that grows with the team, not a one off engagement
Evidence-based decisions before full team mobilisation, not gut feeling
Agentic development is an evolving discipline. The tools are maturing rapidly, and our approach adapts as we learn. We bring structured methodology to an emerging space, not a pretence of having all the answers.
Domain experts think and validate, AI handles execution. We believe that AI should augment, not replace people. It should be amplifying capability and increasing capacity.
The potential reward justifies the learning curve. Organisations that figure this out first will have a significant advantage.
Let's discuss how to unlock value from your innovation backlog.
