AI Prototypes & Proofs of Concept
Test the core AI workflow with a focused prototype and representative examples.
The opportunity
Before you fund a complete product, you need to know whether its central promise can work. A polished interface can hide uncertainty about data, answer quality or the integration on which everything depends.
Voxd builds focused prototypes that put the important assumption under pressure. We agree the users, task and success criteria, then test representative examples. You finish with something concrete to evaluate and a clearer understanding of the work a production build would require.
Use a bounded piece of work to investigate the uncertainty that would otherwise carry into a larger project.
Test usefulness with relevant information and tasks rather than relying on a generic model demonstration.
Understand what worked, what did not and what needs to change before development expands.
What we deliver
Define the core workflow, representative inputs and the questions the prototype should answer.
Implement the focused experience and integrations needed to test the central assumption.
Document findings, limitations and the recommended scope for further work.
Why Voxd
Voxd built the Waitrose festival supplier portal and its embedded AI concierge, bringing tasks, applications and live guidance into the same product. Our iGlobal work combines business-system integrations with a purpose-built proposal application.
We can take responsibility for a complete build or work alongside your developers on the AI, architecture or integration layer. You get a delivery partner who can connect the model’s capabilities to the surrounding software that makes them useful.
Voxd is bringing Comfy Pub Co’s guest experience into a beautifully branded app, developed at pace with AI. At its heart is a planned in-app AI host: a natural way to book a table, order food and drinks, use vouchers, enjoy loyalty rewards and ask about the pubs.
Read the case studyHow we work
We agree the users, core workflow and business outcome. We separate what must work at launch from what can follow later.
We explore the AI behaviour, data availability and key integration challenges with representative examples and a focused prototype.
We build the interface, application logic, integrations and controls, with tests that reflect the ways the system will be used.
We prepare deployment, monitoring and handover or ongoing support. User feedback and agreed measures inform the next stage of development.
Before you get started
Not necessarily. Its purpose and limits are agreed upfront. Production requirements such as broader testing, resilience and support may need a separate phase.
Yes. We help turn the idea into a testable workflow and identify which assumption deserves attention first.
Tell us what the product should help someone do and what you most need to prove.