Inbound voice agents
Answer, authenticate, resolve. A real conversation instead of a menu tree, on the first ring, at any hour.
04 For Customer experience, support and IT leaders
Enterprise AI Voice & Chat Agents That Answer Every Call, In Every Language
Voice is the interface your customers reach for first and the one that costs most to staff. We deploy agents that pick up on the first ring at three in the morning, hold a real conversation in the caller’s language, and hand to a human the moment they should.
60–80%
Support load reduction (MIRA, healthcare)1M+
Conversation scenarios tested2x
CSAT improvement25+
Languages live in productionFigures from production deployments documented in our case studies.
The problem
Every unanswered call is a customer deciding something about you
- Peak-hour queues, and the callers who hung up were the ones ready to buy.
- Support cost scales with volume because the only lever you have is headcount.
- Your IVR tree is eight options deep and everyone presses zero.
- You serve customers in six languages and staff for two.
- Nobody reviews more than a fraction of a percent of calls, so coaching is anecdote.
What we build
AI Voice & Chat Agents, in practice
Outbound voice agents
Renewals, qualification, reminders and win-back campaigns run at a volume a dialler team cannot reach, without the burnout.
Multilingual by default
25+ languages already shipped in production, including code-switching mid-call, which is how people in most of our markets actually speak.
Chat agents across every surface
The same reasoning and the same knowledge base on your website, in-app and on WhatsApp, so the answer does not change with the channel.
Live call QA & coaching
Every call scored against your playbook — human calls included — with compliance flags and coaching notes to team leads the same day.
Human handoff that works
Confidence thresholds, explicit escalation triggers and full context passed to whoever picks up, so the customer never repeats themselves.
Enterprise controls
Latency budgets, guardrails, full transcript logging, retention policy and data residency — specified before build, not retrofitted after procurement asks.
Backed by an ElevenLabs Voice AI Grant
We hold an ElevenLabs Voice AI Grant, and build on Microsoft Azure and AWS as a cloud partner — so the voice stack underneath your agents is a supported one.
How we work
Assess, architect, build, integrate, operate
The same five stages on every engagement. You see production increments from week six, not a reveal in month seven.
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01
Assess
A two-week diagnostic. We map the workflow, the data and the constraints, and come back with the intervention that pays for itself first — occasionally not the one you asked about.
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02
Architect
Solution design, data contracts, model and vendor selection, and a cost envelope you approve before anyone writes production code.
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03
Build
Production increments every two weeks with your team in the loop. No six-month silence ending in a reveal.
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04
Integrate
Connected to the systems you already run, then operated in parallel with the current process until the numbers justify the cutover.
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05
Operate
Monitoring, evaluation suites, retraining and optimisation — plus training for the team who will own it after we step back.
Built on
OpenAI
ElevenLabs
Deepgram
Anthropic
Twilio
WhatsApp Business API
LiveKit
Google Cloud
Proof
Where this has already run
Each of these is a full case study with the architecture, the constraints and the numbers.
Questions we get asked
Before you book a call
Will it sound like a robot?
No — and more importantly it will not behave like one. Sub-second response, natural interruption handling and barge-in matter more to how a call feels than voice quality alone, and we tune all three.
What happens when the agent cannot help?
It hands off. Confidence thresholds and explicit triggers route to a human with the full transcript and context attached, so the customer is not asked to start again.
Does it connect to our CRM and telephony?
Yes. We integrate with your existing telephony, CRM and ticketing rather than asking you to migrate, and we run the agent in parallel with your team before any cutover.
How do you handle recording consent and compliance?
Disclosure, consent capture, redaction of sensitive fields, configurable retention and regional data residency are all part of the build, scoped against your regulator during the assessment phase.
Explore
The rest of the system
These pillars are built to work together — the CRM feeds the voice agent, the voice agent feeds the growth engine.
AI-First ERP & CRM
Custom operating systems for retail, logistics & real estate
AI Product Development
Web, mobile and agentic products, taken to production
Digitalization & Growth
SEO, GEO and AI marketing systems that compound
AI Counselling & Upskilling
The HI Platform — fellowships, cohorts and pre-vetted hiring