01 / Conversations with context
Conversations with context
Ground responses in approved information and connect permitted lookups or updates to CRM, booking, or support systems.
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
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 project01 / 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
Evaluate speech quality for the required languages, including Malayalam where relevant, and test the intended telephony or SIP environment.
03 / 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
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 DEQXShape the engagement around the work you need. Specific deliverables, access, responsibilities, and acceptance criteria are agreed during discovery.
A staged approach gives your team clear review points. Timing and responsibilities depend on the scope and the readiness of the systems involved.
01
Agree the workflow, users, data sources, and the evidence needed to judge whether the approach is useful.
02
Evaluate representative examples, failure cases, and human review needs before expanding the scope.
03
Connect the agreed capability to the application and its permitted tools, with access and exception handling defined.
04
Document evaluation, monitoring, ownership, and the improvement cycle needed after release.
Before we begin
A few questions to help frame your ai voice agent project.
We test representative callers, accents, background noise, and domain vocabulary. Recognition, response quality, interruptions, and handoff behaviour are assessed in the intended calling environment.
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.
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
Tell us what you want to improve, what you have today, and the constraints that matter. We’ll help define a practical starting point.
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