AI Voice Agent

Build voice agents for inbound and outbound workflows, with business-system integrations and a clear route to a human. Design the experience around callers, languages, telephony, and the actions the agent is permitted to take.

AI Transformation / Specialist service

Natural conversations. Connected operations.

Build voice agents for inbound and outbound workflows, with business-system integrations and a clear route to a human. Design the experience around callers, languages, telephony, and the actions the agent is permitted to take.

Discuss your project

01 / Conversations with context

Conversations with context

Ground responses in approved information and connect permitted lookups or updates to CRM, booking, or support systems.

02 / Language and telephony fit

Language and telephony fit

Evaluate speech quality for the required languages, including Malayalam where relevant, and test the intended telephony or SIP environment.

03 / A reliable human handoff

A reliable human handoff

Define escalation triggers, transfer behaviour, and the context passed to the receiving team. Measure the full caller experience rather than conversation length alone.

04 / Your project

Talk through your use case

Discuss ai voice agent in the context of your current systems, your team, and the outcome you need. Define a focused starting point before implementation.

Talk to DEQX

Clarity before commitment.

Shape the engagement around the work you need. Specific deliverables, access, responsibilities, and acceptance criteria are agreed during discovery.

What we start with

  • Workflow examples and process owners
  • Approved data and system access
  • Quality, security, and review requirements

What the scope can cover

  • Conversations with context
  • Language and telephony fit
  • A reliable human handoff

What we agree together

  • A defined scope and prioritized delivery plan
  • Review points and acceptance criteria
  • Documentation and ongoing ownership

A practical path from idea to operation.

A staged approach gives your team clear review points. Timing and responsibilities depend on the scope and the readiness of the systems involved.

  1. 01

    Define the task

    Agree the workflow, users, data sources, and the evidence needed to judge whether the approach is useful.

  2. 02

    Test the approach

    Evaluate representative examples, failure cases, and human review needs before expanding the scope.

  3. 03

    Build and integrate

    Connect the agreed capability to the application and its permitted tools, with access and exception handling defined.

  4. 04

    Prepare to operate

    Document evaluation, monitoring, ownership, and the improvement cycle needed after release.

Before we begin

Useful answers. Clear expectations.

A few questions to help frame your ai voice agent project.

How do you evaluate regional-language voice quality?

We test representative callers, accents, background noise, and domain vocabulary. Recognition, response quality, interruptions, and handoff behaviour are assessed in the intended calling environment.

How is the scope and delivery plan defined?

We begin with your current situation and the outcome you need. For this service, the discussion covers conversations with context, language and telephony fit, a reliable human handoff. Deliverables, dependencies, review points, and commercial terms are agreed before implementation.

What happens after the initial delivery?

Handover, maintenance, and ongoing improvement are discussed as part of the engagement. The arrangement depends on your internal team, the systems involved, and the operating responsibilities you want DEQX to support.

Let’s talk about your project

Bring us the challenge. Let’s shape the next step.

Tell us what you want to improve, what you have today, and the constraints that matter. We’ll help define a practical starting point.

Start a conversation