AI Opportunity Planning (Discovery Sprint)

A prioritised opportunity map, a risk and data-readiness review, a build-or-buy decision per opportunity, and a sequenced, costed roadmap with a recommended next step — a kept document you can act on with us or anyone else.

Our free AI Disruption Risk Assessment is a quick, self-serve way to gauge where you stand. The Sprint is a paid, senior-led deep dive that produces a genuine, costed plan — the kind of work you'd actually act on.

It's priced as planning, not as a big project. A focused scoping engagement starts around £1,500; a fuller, multi-process discovery is typically £3,000–£6,000, scaling with how involved it is. Most run in one to two weeks.

Then we'll tell you — and you'll have saved a lot of money finding out fast. You still keep the roadmap and the build-vs-buy analysis; that clarity is the value.

Yes. It's yours to keep and act on however you like. We'd love to build it with you, but there's no lock-in.

If there's something worth building, the roadmap flows straight into a prototype or a Velocity Sprint build. If it's better solved off-the-shelf or by your IT team, we'll point you there. Book your Sprint to start.

AI Opportunity Sprints are best suited to situations where AI could improve, replace, or augment repetitive knowledge work — such as customer support, compliance checks, internal reporting, finance reconciliation, stock coordination, CRM administration, or document-heavy processes. If you suspect there is a smarter way to handle routine work, the Sprint helps you prove whether the opportunity is real before you commit serious budget.

It is usually commissioned by operations leaders, digital transformation heads, CTOs, managing directors, founders, and senior teams who want a clear business case before investing in AI. It is especially useful when you need to de-risk an idea, justify spend, or bring structure to a conversation that has become a bit too enthusiastic and hand-wavy — as AI conversations sometimes do.

Yes. You can use our free AI Opportunity Score to assess how well your business has adopted AI compared with the opportunities available. Don't worry if you don't score highly in some areas; most businesses are still early in their AI journey, and the point is to identify where the practical opportunities sit.

That's normal. You do not need a perfect specification before starting. The Sprint is designed to take a vague goal, early idea, or messy process and turn it into a clearer, scoped plan backed by workflow analysis, risks, success measures, and sensible next steps.

Yes, if you already have a clear specification or well-defined idea, we can move straight into development. In that case, we would align around your objectives, confirm the scope, and use our delivery process to move towards a working prototype or production-ready AI solution without the full discovery phase.

An AI Agent is a task-focused automation tool that can use AI, business rules, and system integrations to carry out work on your behalf. Unlike a simple chatbot, an Agent can monitor information, follow defined processes, make decisions within agreed boundaries, and take actions across tools such as CRMs, ERPs, inboxes, databases, and APIs.

Large language models such as ChatGPT are excellent at generating content, answering questions, and reasoning over information, but they do not automatically run your business processes. AI Agents use LLMs as part of a wider system, connecting them to workflows, rules, data, permissions, and integrations so they can observe, decide, and act in a controlled way.

Yes, but only when they are designed properly. That means defining what the Agent can and cannot do, setting fallback rules, measuring performance, and deciding where human approval is needed. For higher-risk workflows, we often recommend a human-in-the-loop model, where your team reviews or approves key decisions before the Agent takes final action.

The simplest next step is to book your Sprint or contact our team for an initial conversation. We'll help you work out whether a focused AI Opportunity Sprint, a fuller discovery, or a direct build is the right route.