Legacy & manual processes
Spreadsheets, manual data entry and fragmented systems aren't AI-ready. We find a path that works around them.
AI Kickstart · ~12 weeks
Your first AI pilot — working AI in 12 weeks.
An AI Kickstart is a structured, time-boxed engagement — typically 12 weeks — in which your organisation assesses its AI readiness, prioritises use cases by value and risk, and delivers a working AI proof of concept with a costed roadmap for production. It's the low-risk AI pilot that proves value before you commit to scale.
The first step
Every ascent starts here.
Your AI guide points the way and takes the first step with you — turning an intimidating climb into a clear, staged route.
The challenge
Three things that stall AI projects.
Legal & ethical concerns
Privacy, accountability and governance worries stop teams before they start. We build the guardrails in.
Too many tools, no clarity
Dozens of models and platforms, no obvious choice. We select the right, proportionate toolset for you.
How it works
How does the AI Kickstart Sprint work?
1
Start small
Understand your digital foundation and develop targeted AI use cases that deliver immediate value.
2
Show value fast
Inject proven AI into existing workflows and build proofs of concept with tangible benefits.
3
Plan the future
Create a scalable roadmap to expand AI strategically — modernising legacy as needed.
4
Build capability
Stand up ethics-by-design frameworks and workshops so your team can maximise AI's impact.
What you get
Deliverables, not a slide deck.
Every Kickstart ends with assets your organisation can act on immediately — and the evidence to secure buy-in and budget for the next step. Typical timeline: ~12 weeks from idea to validated proof of concept.
AI readiness assessment — data, infrastructure and capability gaps
Prioritised use cases — ranked by value, risk and feasibility
Working proof of concept — a real, testable AI capability
Costed, scalable roadmap — from pilot to production
Ethics & governance framework — responsible AI, built in
Business case foundation — evidence to unlock the next phase
Who it's for
Who is the AI Kickstart for?
Government departments
Teams under pressure to modernise citizen services who need an AI readiness assessment and a defensible, auditable route to production — without a risky big-bang programme.
Regulated enterprises
Banks, insurers, healthcare and utilities that need secure AI deployment options (private, on-premise or sovereign) and governance mapped to ISO 27001 and the EU AI Act.
First-time AI adopters
Organisations with no in-house AI experience who want a working AI proof of concept and a costed roadmap before committing budget to enterprise AI adoption.
Kickstart FAQ
Kickstart questions, answered.
How long does an AI proof of concept take?
With the AI Kickstart Sprint, a working AI proof of concept typically takes around 12 weeks from kickoff — including an AI readiness assessment, use-case prioritisation, the PoC build itself, and a costed roadmap for production deployment.
What is included in the AI Kickstart?
Six deliverables: an AI readiness assessment covering data, infrastructure and capability gaps; a prioritised use-case register; a working proof of concept on your real data; a costed, scalable roadmap; an ethics and governance framework; and the business case foundation to unlock the next phase.
Is the AI Kickstart a pilot or a production system?
It's an AI pilot by design: a real, testable capability on a bounded use case — not a slide deck. The roadmap it produces is what takes the pilot into secure production, with the same team accountable end to end.
What does an AI Kickstart cost?
Pricing depends on use-case complexity and data readiness — the discovery call scopes it precisely. Because the engagement is time-boxed to roughly 12 weeks with fixed deliverables, the investment is known before you start.
Do we need our data in order before starting?
No. Assessing your data foundation is part of phase one. Most organisations start with fragmented, legacy-heavy data — the Kickstart charts a pragmatic path around it rather than requiring a clean-up first.