Case studies Applied AI

Voice-first AI workspace built on company knowledge

Frontend for a business AI platform: live voice conversations, an agent builder for company-aware prompts, and prompt management.

Live voice AIAgent builderCompany-aware promptsSecurity scanning

The problem

Staff want to ask an AI about their own company, not the internet, and sometimes simply talk to it. Company data has to reach the model with the right context, people who are not engineers need prompts they can reuse, and a spoken conversation has to feel immediate even though it passes through several services.

What our engineers built

Live voice mode

Interfaces for a voice mode that chains speech-to-text, the language model and text-to-speech, so people can talk to the assistant and hear the answer.

An agent builder

Screens for building reusable, company-aware prompts and agents, with structured business context that teams manage themselves.

Prompts people can find

Prompt creation, content organisation and usability improvements across the workspace.

Security checks in delivery

Automated security scans in the frontend release pipeline.

What this means for your project

Useful AI starts with the right context and ends with a person who decides. We build AI features that are grounded in your knowledge, simple to use, and reviewed where it matters.

Frontend built by our engineers as part of a wider product team. The company is not named.

Explore the related service

From company knowledge to a spoken answer

  • Person
  • Automated
  1. 01

    Structure knowledge

    Company knowledge is structured into context for prompts.

    Automated
  2. 02

    Build agents

    People create reusable prompts and agents that know the company’s context.

    Person
  3. 03

    Ask out loud

    A user speaks a question.

    Person
  4. 04

    Speech to text

    The question is transcribed and sent to the model.

    Automated
  5. 05

    AI answers

    The language model answers the question.

    Automated
  6. 06

    Spoken reply

    Text-to-speech reads the answer back.

    Automated
  7. 07

    Decide

    A person decides what to do with the answer.

    Person

Related field notes

Field notes from our engineering team on problems from this kind of work.

All field notes

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