AI Automation Design Sprint - Prototyping (2 Days)

This two-day AI automation prototyping sprint transforms a chosen concept into a functional demo your stakeholders can interact with. Working alongside a fractional CTO, your team co-builds the prototype using modern AI platforms, validates it against real inputs, and leaves with a clear technical path to production. The output is a credible artefact, not a slide.

Expected Outcome

Concept decks rarely unlock budget on their own. The leap from idea to working software is where most AI initiatives stall, and the longer that gap remains, the more momentum and executive trust erodes. A short, focused prototyping sprint gives your organisation something real to react to within forty-eight hours. The commercial value is twofold. First, you de-risk the larger build by exposing technical assumptions early, while the cost of changing direction is still low. Second, you accelerate stakeholder alignment because a working demo is far more persuasive than any business case. Most clients use the prototype to secure funding for the next phase within weeks of the sprint.

What You Get

A working AI prototype built with modern, production-relevant tooling
A validated automation concept with documented assumptions and limits
A clear implementation roadmap covering the path to production
Technical documentation your engineering team can pick up immediately
A video walkthrough of the solution for asynchronous stakeholder review
A hands-on learning experience that uplifts your team's AI capability

Overview

The AI Automation Design Sprint Prototyping engagement is a two-day, fractional CTO-led build session from 941 Consulting. It takes a validated AI automation concept and turns it into a working prototype using modern tooling such as GPT, n8n, Cursor, and Replit. Sitting between our one-day Discovery workshop and our four-day Accelerator, this format is the fastest way to put a tangible AI artefact in front of your team. It combines AI strategy, hands-on engineering, and innovation consulting in a single high-velocity package.

Who this is for

Series A and growth-stage companies that already know which AI use case they want to test
Product and engineering leaders who need a credible artefact to align stakeholders
SaaS, fintech, and B2B services teams comfortable moving fast on a contained experiment
Operations leaders looking for working evidence before approving a larger automation budget
Founders without an in-house CTO who need senior technical leadership for the build
Innovation teams that want exposure to modern AI tooling on a real internal problem

Use cases

A Series A SaaS company prototyping an AI assistant for its existing product before engineering invests
A B2B operations team building a quick automation for invoice extraction and routing
An e-commerce business prototyping personalised product recommendations using its own catalogue data
A fintech team validating a document classification flow before integrating it into a regulated pipeline
A professional services firm prototyping an internal knowledge assistant for fee earners

Deliverables

Functional demo built using GPT, n8n, Cursor, Replit, or equivalent modern tooling
Full sprint report covering decisions, tech stack, and trade-offs
Video walkthrough of your solution for internal sharing
Implementation roadmap with phases and effort estimates
Technical documentation describing the prototype architecture

Our Methodology

1Use-case validation and scope confirmation
2Tool selection and environment setup
3Rapid prototype development with the core team
4Testing and refinement against real inputs
5Documentation and structured handover

Best Practices

Rapid prototyping discipline with strict time-boxing
Hands-on development in the room with your team
Real-world testing with representative data
Clear documentation captured throughout the build
Practical implementation focus over technology theatre

Frequently asked questions

How long does the prototyping sprint take?

The sprint runs across two consecutive working days, typically with a short follow-up call to walk through the final deliverables. The format is intentionally short so the team stays focused and the prototype reflects current decisions rather than drifting into a long build cycle.

What do we need to prepare?

We need a clearly defined use case, access to representative sample data, and the right people in the room for two days. We share a short pre-sprint checklist a week beforehand so accounts, credentials, and data extracts are ready when the sprint begins.

Who runs the sprint?

The sprint is led by Romain Eude, founder of 941 Consulting and a fractional CTO with deep hands-on experience across modern AI tooling. You work directly with a senior practitioner who writes code alongside your team, not a project manager relaying instructions to a delivery pod.

What deliverables do I get?

You receive a working prototype, a sprint report, a video walkthrough, an implementation roadmap, and technical documentation. Everything is structured so your engineering team or an external vendor can pick up the work and move it toward production without rediscovery.

Can you work with our existing tech stack?

Yes. We choose tooling that integrates cleanly with your current cloud provider, data sources, and security posture. If your environment is restrictive, we agree the boundary on day one and design the prototype within those constraints rather than ignoring them.

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