From AI curiosity to AI plan.
Not sure where AI fits? We help you map opportunities, prioritise high-impact use cases, and build a digital transformation roadmap grounded in what's actually possible — and what's worth doing.
A roadmap you can actually build from.
There are two ways AI strategy fails: hype-driven paralysis, where every option sounds transformative and nothing ships, and scattered pilots that each prove a point but never reach production. We help you skip both — a clear-eyed read of where AI creates real value for your business, sequenced so the first wins fund the next.
What you get
- Opportunity mapping — where AI creates real value in your workflows, not where it sounds impressive.
- Use-case prioritisation — scored on impact vs effort vs risk, so you start with what pays back fastest.
- Feasibility & data readiness assessment — an honest look at whether your data and systems can support the use case.
- ROI & business-case modelling — the numbers that justify the spend and set realistic expectations.
- Architecture & build-vs-buy guidance — what to build, what to buy, and how the pieces fit together.
- Team enablement & change management — getting your people ready to adopt and own what gets built.
Because Genact are builders, every recommendation is one they can also implement.
Discovery and design, before a line is written.
Strategy sits upstream of the build, so this is where we slow down to get it right. We Discover the opportunities, constraints, and data reality across your workflows, then Design a prioritised roadmap and the target architecture to support it. By the time anything goes into Build, the hard decisions are already made — and documented.
We ship code, not slide decks.
Plenty of firms will sell you a strategy they can't execute. Every recommendation we make is grounded in production reality — what frontier models can actually do, what your data can support, what it takes to run reliably. And when you're ready, we can take it from roadmap to running software ourselves.
Employee super-app for a nationwide restaurant chain
Six integrated codebases, 300+ API endpoints, serving thousands of crew daily — modernised and hardened with multi-agent refactoring and AI security audits.
Read the case ›Production Monitor — when to cook, computed in real time
An offline-first PWA with a walk-back batch scheduler — spec to pilot-ready build in days, with 46 unit tests on the core logic.
Read the case ›Wondering where AI fits? Let's map it.
Tell us what you're trying to make happen. We reply within two working days.