From ‘we think AI could help’ to working prototypes — in a single day.
A structured, hands-on day where we sit alongside your team to understand the real work, reimagine how it could be done, and put working prototypes in front of you the same afternoon. Built with your people, in your infrastructure.
Not a workshop about AI. A day spent building it — together.
An AI Prototyping Day is designed to cut through the hype and the slideware. We come in to understand a real workflow in one of your service or corporate areas, find where it’s getting stuck, and prove — with working software — whether a different way of working would actually deliver the outcome you care about.
Identify the real problem
We help you surface the use cases and problem areas that genuinely matter — separating the noise from the work that’s draining time, money and goodwill. We start with outcomes, not solutions.
Reimagine, don’t pave the cowpath
The goal is to reimagine the workflow — not automate a bad process. If a process is broken, automating it just makes it fail faster. We redesign around the outcome first.
Commercial plans with ROI attached
Every direction we recommend comes with a commercial plan and a clear return on investment — so the business case is grounded in evidence, not optimism.
Transfer of knowledge and skills
This is the heart of it. We do it together, not to the side. Your people are in the room and in the build, so capability stays with you long after we’ve gone.
A two-way engagement, from the first conversation to a working MVP.
The day works because of what happens around it. We get everyone on board before we arrive, build in the open on the day, and leave with a roadmap we deliver together.
Get everyone on board and planning ahead
A pre-session with your team to align on the area in focus, agree the outcomes that matter, and make sure the right people and the right knowledge are in the room. This is a two-way engagement from day one — we’re planning the day with you, not presenting at you.
Deep listening and understanding
We map the current workflow — the systems, the hand-offs, the workarounds and the ways of working as they really are. We listen for where people are getting stuck, and we keep pulling the conversation back to outcomes, not solutions. The aim is to understand the work deeply before we touch a keyboard.
The team breaks — we build
Your team heads off for lunch. Three hours later, they come back to something real. In that window, we turn the morning’s understanding into working prototypes.
3–4 working prototypes that reimagine the workflow
We present three to four working prototypes designed to reimagine how the work could be done. These aren’t the answer — they’re a sharper question. Does this work? Where does it break? What have we missed? Would it actually get to the outcomes we agreed this morning? The prototypes exist to help us all understand the problem more deeply.
From prototype to MVP — built with your team
We create a roadmap and start building towards a minimum viable product, engaging your team throughout the process. We build in your infrastructure and configure to your environment — so what we create is yours, supportable, and ready to grow. Knowledge and skills transfer as we go.
What you walk away with.
An AI Prototyping Day is designed to de-risk your AI investment before you commit to it — and to leave capability behind, not dependency.
Clarity on the right use cases
We help you identify the use cases and problem areas worth pursuing — and, just as valuably, the ones that aren’t. You stop spending on the wrong things.
Reimagined ways of working
You leave with workflows redesigned around outcomes, not a faster version of a broken process. The improvement is in the design, not just the automation.
A commercial plan with ROI
Each recommended direction comes with a costed commercial plan and a clear return on investment, ready to take into a business case or to members.
Skills and confidence that stay
Because we build with your team and in your infrastructure, capability transfers as we go. You’re not left dependent on a supplier to run what we built.
Examples from real sessions.
Each one started as a workflow that was getting stuck — and was reimagined around the outcome. Details anonymised.
Intake & triage agent
Complaints arrived by letter, email, web form and MP correspondence — each read, classified and routed by hand, with no early sight of risk.
Resident 360 briefing screen
Advisors stitched a resident’s history together from several systems mid-call, while the resident waited and repeated themselves.
24/7 resident self-serve assistant
Routine questions — bin days, how to report, where’s my case — filled the phone lines and the inbox, out of hours and in.
Strategic complaints intelligence
Thousands of complaints held rich signal about where services were failing — but it sat unread in free text.
Examples illustrative and anonymised. Prototypes are configured to each council’s own systems, content and tone of voice.
Your service areas, or the functions that run across all of them.
A day is scoped around a single area so we can go deep. That can be a frontline service or a corporate function that touches every department.
Service areas
The frontline services where outcomes for residents are won or lost.
Horizontal areas
The functions that run across the whole organisation.
You’ve sat through discovery before.
Weeks of interviews, a workshop, and a report that lands long after the energy has gone. This is the opposite shape.
It starts with a 30–45 minute scoping call. Tell us the service or function in focus, and the outcome you’re trying to reach. We’ll sort the rest.
AI Prototyping Days are free. We ask that your head of department sponsors the session and brings the people who know how the work actually runs.
Or email us directly: info@agilisys.co.uk