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Voxd

AI Features for Existing Software

Make AI part of the product your users already know.

Add intelligent search, summarisation or contextual assistance within your existing product experience.

The opportunity

The problem we help you solve

Your users should not have to leave the application, copy its data into another tool and then work out what to do with the response. The most useful AI feature often lives inside the workflow where the need appears.

Voxd helps add capabilities such as intelligent search, summarisation and contextual assistance to existing software. We consider the user journey, permissions and application logic alongside the model. The result is a feature shaped around a product task, with behaviour that can be evaluated and improved.

What changes for your team

Reduce tool-switching

Bring useful assistance into the existing product context instead of asking users to reconstruct that context elsewhere.

Make the feature fit the workflow

Design around the next action the user needs to take, rather than adding a disconnected chat box.

Control the rollout

Define evaluations and a release scope that let your team learn from real use before expanding.

What we deliver

What Voxd can deliver

01

Feature and architecture design

Review the product journey, data access and technical boundaries for the proposed capability.

02

Implementation and integration

Build the AI workflow and connect it to the relevant application functions and interface.

03

Evaluation and release support

Test representative use, failure paths and permissions before a controlled rollout.

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.

See the work behind the approach

All case studies

How we work

Build the right thing, then build it properly

  1. 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.

  2. 02

    Test the uncertain parts

    We explore the AI behaviour, data availability and key integration challenges with representative examples and a focused prototype.

  3. 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.

  4. 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 work with our development team?

Yes. We can own a defined feature, provide specialist implementation or support the architecture and evaluation work.

Will this require rebuilding the application?

That depends on its architecture and the feature. We assess the existing system and identify the smallest useful scope before recommending changes.

Put useful AI where your users need it.

Show us the workflow and the point where better assistance could change the experience.

Discuss your AI project