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Business Agents · Customer Agents

The AI operating system for customer conversations.

The era of the passive chatbot is over. DVAI Customer Agents answer every call on the first ring, resolve routine enquiries in a single contact, cover every hour and every language, and integrate natively with the stack you already run — escalating to a person the moment human judgement is needed. Not a chatbot: a digital worker for your front line.

Live inbound agent in production7 mapped use cases3 service clustersEvery statistic sourced & cited
Building the AI Operating System for Customer Conversations

Helping clients transform performance with embedded Voice AI.

Our goal 1 billion AI-handled customer conversations by 2031 — a north-star ambition, not a performance claim.
What customers actually experience today
55%25of UK consumers abandon calls when wait times get too long
42%25have switched provider over a poor contact-centre experience
~70%28global first-call-resolution average — the metric customers feel most
~95%61of contact-centre professionals rank customer satisfaction as their top priority
35–61%62agent attrition — ~35–45% on average, rising to 47–61% in financial services & healthcare

Choose the area that fits you

Each cluster opens a focused set of use cases — the pain point, its impact on your organisation and the people you serve, how a voice agent addresses it, and the evidence behind it.

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The cost opportunity, on your own numbers

Enter your own contact-centre figures below. This tool applies independent analyst benchmark ranges to your inputs to illustrate the potential scale of the opportunity. It is not a DVAI quote or a performance guarantee — it is a way to see what the published sector research would imply for an operation your size. The calculation runs entirely in your browser; nothing you type is sent to us unless you choose to request the emailed report below.

Total inbound contacts you handle in a year
Fully-loaded cost of handling one contact today
Applying published analyst benchmarks to your figures:
Conservative Gartner · ~30% opex reduction
Top-quartile McKinsey · ~53% cost reduction
How this is calculated, and what it is not. The figures above are your own inputs multiplied by independent, published cost-reduction benchmarks for AI in customer service: a conservative case of around 30% operational-cost reduction (Gartner35, corroborated by IBM across 412 enterprises38) and a top-quartile case of around 53% (McKinsey37). Outcomes vary widely by deployment quality — Forrester found best-in-class deflection around 62% against a median of 38%43, and Gartner projects some $80bn in global contact-centre savings by 2026/2736. These are sector benchmarks describing what a range of organisations have achieved with their own deployments — they are not DVAI results, not a quote, and not a guarantee of any outcome. Deep Voice AI is pre-revenue and makes no representation as to results for any individual organisation. Actual outcomes depend entirely on your operation, your processes and your deployment. The calculation runs entirely in your browser; the figures you enter are not sent to us or stored unless you choose to request the emailed report below.

Want these results as a report?

We can email you a personalised benchmark report based on the figures you entered, with the underlying sources and how the ranges are derived. Tell us where to send it.

Deep Voice AI Limited is the data controller for the details you provide here. We use them to send the report you’ve requested (our lawful basis is your consent) and will not share them with third parties except as needed to deliver the report. See our Privacy Policy for your rights and how to withdraw consent.

Customer Agents — questions we’re often asked

It takes the routine, high-volume load — answering every call, resolving simple enquiries, capturing information — so your people can focus on the complex, sensitive and high-value conversations only a human should handle. It escalates to a person the moment human judgement is needed.

Voice AI in this category is built to handle a range of languages and accents; the right configuration depends on your customer base. A confidential discussion is the best way to confirm coverage for your specific operation rather than us over-claiming here.

The agent hands off to a person. It is designed to recognise when a call needs human judgement — a complex issue, a sensitive situation, an explicit request — and route the caller to the right person rather than trapping them in an automated loop.

The agent is designed to work with your existing contact-centre and CRM stack rather than replace it. The specifics depend on your systems, which is exactly the kind of thing a scoping conversation would cover.

It does not have to be. Built on Bridge, the agent is designed to run on-device and behind your firewall, so customer call data can stay inside your environment rather than being sent to a third-party cloud.

Through a confidential discussion and a scoped pilot on a defined slice of your inbound volume, with success measured on your own numbers — not on results we have not yet earned.

Confidential discussion

Talk to our Customer Success Team.

Explore customer agents use cases for your organisation. Request a confidential, no-obligation discussion to scope a pilot.

Private & no-obligation

Every enquiry is held in confidence. We’ll walk you through the use cases relevant to you and scope how a sovereign deployment would work in your environment — with no obligation to proceed.

Request a meeting with the CST

We aim to respond within one working day.

Held in confidence · no obligation

Sources & references

Statistics describe demand and conditions across the relevant sector and are drawn from the cited public sources. They characterise the sector-level problem these agents address; they are not performance claims for any DVAI product. Deep Voice AI Limited is a pre-revenue company and makes no representation as to outcomes for any individual organisation. Figures are current as at the date of the cited publications.

Capable AI, on your terms — not the cloud’s.