AI Applications & Knowledge

Voice AI

For a great many organizations the busiest channel is still a phone number. We build voice agents that handle the routine calls end to end, connected to the systems that hold the answers, and hand over cleanly when the call needs a person.

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The business problem

Voice is unforgiving in ways chat is not

A caller cannot skim. Latency that reads as nothing in a chat window is an awkward silence on a call, and people start talking over it. Interruptions, accents, background noise and callers who change their mind mid-sentence are normal rather than edge cases. Meanwhile the same accuracy and compliance requirements apply, and the recording is discoverable.

What we do

Engineer for latency and interruption

We build for the constraints voice actually imposes: streaming recognition so the agent responds within conversational tempo, barge-in handling so callers can interrupt, and confirmation of anything consequential before it is acted on. The agent reads from and writes to your systems under controlled permissions, so it can genuinely resolve rather than take a message. Calls are transcribed, logged and sampled, and the handoff to a person carries the transcript and the context.

Voice AI

Capabilities

AI Voice Agents
AI Phone Agents
Call Automation
Speech-to-Text
Transcription
Call Analytics

Common use cases

Handle appointment booking, changes and cancellations against a live calendar.
Take first-line support calls, resolve the routine ones, and route the rest with context attached.
Qualify inbound sales calls and book the follow-up directly into a diary.
Run outbound reminders and confirmations where a human call adds cost but not value.

How we deliver

Shape

Turn the request into a specification: who uses it, what a correct answer is, who decides.
Ground

Connect to the content and systems that hold the answers, respecting existing permissions.
Evaluate

Score against a labelled set built from your own cases, before anyone outside sees it.
Ship & operate

Staged release with monitoring, cost control and a regression suite that guards quality.

Technology

OpenAI
Anthropic
Azure OpenAI
pgvector
Elasticsearch
Microsoft 365
SharePoint
Confluence
Salesforce

Security & governance

Answers are grounded in your own content and carry citations, so a reader can check them. Retrieval respects the permissions already set on the source, which means a user never sees through the application what they could not see directly. Prompts, retrieved context and responses are logged for audit, and evaluation runs continuously rather than once at launch.

Engagement models

AI Project

We take responsibility for designing and delivering a defined AI solution.

Dedicated AI Team

Long-term dedicated engineering capacity built around your stack and delivery model.

Managed AI

We operate, monitor and continuously improve production AI systems.

Why TeamExtension.ai

Voice is a systems integration problem

The speech technology is largely solved and available to everyone. What separates a voice agent that resolves calls from one that takes messages is whether it can reach the booking system, the account record and the case management tool, safely, under permissions, with an audit trail. That is integration engineering, and it is the part most voice projects underestimate.

Selected clients

Frequently asked questions

Will callers know they are speaking to a machine?

Yes, and they should. Disclosure is a requirement under the EU AI Act for this kind of interaction, and in practice callers behave more cooperatively when they are told. The agent identifies itself at the start of the call.

What happens when the caller needs a person?

The call transfers with the transcript and the context, so the caller does not repeat themselves. Transfer triggers include explicit request, low confidence, distress signals and any topic outside the defined remit.

How do you handle accents and noise?

By testing on your actual call recordings rather than on clean audio. Recognition quality is measured per cohort, and where a cohort underperforms we address it explicitly rather than reporting an average that hides it.

Can it integrate with our telephony?

Yes. We work with standard SIP and with the major cloud contact centre platforms. The telephony layer is usually the least difficult part of the integration.

What about recording and consent?

Calls are recorded and transcribed under the same consent and retention rules you already operate for human calls, in the jurisdictions you operate in. Retention is configurable and enforced.

Related capabilities

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Software that completes multi-step work inside your systems, under your access controls and your approval rules.

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AI Integration

Connect AI to the ERP, CRM and data systems where the work and the records actually live.

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Discuss Your AI Initiative

Spoken interfaces for support, scheduling and triage, connected to the systems that hold the answers.

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