PROVE YOUR IDEA WORKS WITH AGENTIC SPRINT
Turn one high-value AI use case into a working agent prototype, tested on real data and measured against business KPIs before you commit to a full build.
Validate an AI initiative in just 10 days. We take one use case from idea to a working AI agent, with a clear, costed path to production, all in ten working days.
Fixed scope. Fixed fee. No lock-in.
Validate Before You Build
Most AI ideas do not need more hype. They need proof. AI agents can create real business value, but only when the use case, data, risks, and success metrics are clear from the start. The Agentic Sprint helps you move from “this could work” to “we know what to do next”. So how does it work?
[note for design: 5 value cards]
01 / One Use Case
We focus on the AI opportunity with the clearest business value, so the sprint starts with direction instead of guesswork.
02 / Real Data
The prototype works with the realities of your systems, workflows, and available data.
03 / Business KPIs
Success is defined before anything is built, so the final decision is based on measurable value.
04 / Guardrails
Human-in-the-loop flows, risk points, and operational limits are considered from the start.
05 / Clear Decision
You leave with a tested prototype, a costed roadmap, and a build, buy, or partner recommendation.
O
10 Days. 3 Focused Stages.
Frame
DAYS 1–2
- Pick the one use case with real business value
- Define success metrics
the board will recognise - Confirm data access and technical feasibility
We don’t build until the case and the data are real.
Build
DAYS 3–8
- A working agent on your data, in your environment
- Reasoning, tool use and memory, not a scripted demo
- Guardrails a human-in-the-loop from day one
A prototype you can actually pressure-test.
Prove
DAYS 9–10
- Measured against the KPIs you set on day one
- A costed roadmap from prototype to production
- A clear build, buy or partner decision
You leave with a decision, not a maybe.
Why Run It With Q
We run on our own agents
Q is putting AI agents into its own delivery: development, QA, analysis and sales. You are buying from a firm that already works this way, not one trialling it on you.
Proof in production
The sprint sits behind a 300-person delivery org with live work for News UK, Daily Mail, Subsea7 and Teladoc. The prototype has a real place to go next.
Your data stays yours
Private GPU infrastructure, EU jurisdiction and human review on every output. No client data ever touches public AI tools.
Built to continue
The sprint is step one of a longer journey. The same team carries it into Build and Run: no re-procurement, no handoff, no knowledge lost.
What You Walk Away With
By the end of the agentic sprint, you have:
- A validated AI agent use case
- Defined success metrics
- A working prototype on real data
- Identified technical and operational risks
- Guardrails and human-in-the-loop logic
- A costed roadmap from prototype to production
- A clear recommendation on whether to build, buy, or partner
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