AI & Automation · AI Voice Agents

An AI agent that answers,
qualifies and follows up.

Built around a defined conversation, clear escalation rules and measurable outcomes.

We design the script, logic, integrations and human hand-off—not just the voice.

Before the tactics

Automation fails when the conversation has no operating context

A convincing voice is not enough. The agent needs a clear job, approved knowledge, consent-aware flows, exception handling and a reliable path to a person.

Leads wait too long for the first response.

Teams repeat the same qualification and reminder calls.

Conversation data never reaches the system that owns the next step.

One system. One accountable team.

What we build

Conversation design, AI orchestration, CRM integration and operational safeguards.

Use-case and conversation design

Goals, permissions, scripts, qualification logic, fallbacks and escalation points.

Agent and integration build

Voice configuration, knowledge sources, CRM actions, scheduling and workflow connections.

Testing and improvement

Scenario QA, monitoring, transcript review, guardrails and iterative conversation tuning.

The business outcome

Why this matters

01

Faster contact

High-intent leads can receive an immediate, consistent first response.

02

More team capacity

Repetitive calls and reminders can be automated while humans handle exceptions.

03

Structured conversation data

Outcomes and answers can update the CRM and trigger the right next action.

Go deeperThe complete guide to AI Voice Agents

AI Voice Agents that connects to the rest of the business

AI voice agents are most valuable when they perform a narrow, well-defined operational role. Typical uses include first-response qualification, appointment confirmation, reminders and structured follow-up.

We treat the agent as part of a wider workflow. That includes what it may say, where its knowledge comes from, how identity and consent are handled, when it must escalate, and what data should be recorded after the call.

What makes the ETX approach different?

We are a software company with growth marketing and creative capabilities. That means the campaign, website, CRM, automation and sales hand-off are designed as one system rather than separate supplier deliverables.

Every engagement starts with a commercial objective and an honest view of the customer journey. We define what must happen before the click, on the page and after the enquiry so the work can be measured against business outcomes.

No black box

How it works

  1. 1

    Diagnose

    We map the commercial goal, audience, offer, data and operational constraints before choosing tactics.

  2. 2

    Design the system

    We connect message, creative, journey, measurement and follow-up around one conversion path.

  3. 3

    Launch

    We build, QA and release with clear ownership, tracking and response plans.

  4. 4

    Improve

    We learn from real behaviour and keep improving the parts that move revenue.

Straight answers

Frequently asked questions

Disclosure and consent should follow the applicable market and use case. We design the flow to be transparent and compliant with agreed requirements.

Yes, where the CRM exposes suitable integrations. It can record outcomes, update fields and trigger approved next steps.

We define fallback and human escalation rules before launch. The agent should never invent information.

Often yes, depending on the voice stack, knowledge design and required quality. Each language needs its own testing and conversation review.

The next step starts with a conversation

Have a repetitive conversation worth automating?

We will assess the workflow, risk and integration before deciding what the agent should own.