Take Your AI Prototype into Production
Take the promising demo through the difficult last mile.
Review and strengthen an experimental AI application for a controlled production rollout.
The opportunity
The problem we help you solve
A prototype can work well in the hands of its creator and still struggle with real users. Inputs vary, integrations fail and permissions become more complicated. The missing work is often everything surrounding the model.
Voxd reviews the existing system and helps build a practical route to production. We identify what can be retained and what needs strengthening, then address the application, evaluations and operating arrangements around the core idea. The objective is a controlled launch with known limits and clear ownership.
What changes for your team
Keep useful work while addressing weaknesses
Assess the prototype on its merits instead of assuming either a complete rebuild or an unchanged launch.
Test beyond the happy path
Evaluate realistic inputs, failed dependencies and user behaviour that a demonstration may never encounter.
Prepare to operate the service
Establish the monitoring, access and support arrangements needed after launch.
What we deliver
What Voxd can deliver
Technical and product review
Examine the code, architecture, dependencies and intended production requirements.
Hardening and evaluation
Improve the agreed reliability, access and integration areas and test the AI behaviour against representative tasks.
Deployment and handover
Prepare the release, operational visibility and responsibilities for ongoing maintenance.
Why Voxd
AI expertise backed by complete software delivery.
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.
How we work
Build the right thing, then build it properly
- 01
Define the product
We agree the users, core workflow and business outcome. We separate what must work at launch from what can follow later.
- 02
Test the uncertain parts
We explore the AI behaviour, data availability and key integration challenges with representative examples and a focused prototype.
- 03
Engineer the full experience
We build the interface, application logic, integrations and controls, with tests that reflect the ways the system will be used.
- 04
Launch with a plan
We prepare deployment, monitoring and handover or ongoing support. User feedback and agreed measures inform the next stage of development.
Before you get started
Before you get started
Can you take over code written with AI tools?
Yes, subject to review. We assess its structure, dependencies and behaviour in the same way as other code before agreeing the work required.
How much of the prototype will survive?
That depends on what the review finds. We explain the trade-offs behind retaining, refactoring or replacing each important part.
Give the prototype a realistic path to launch.
Show us what works today and what is stopping you putting it in front of users.