Overloaded agents
Peak hours exceed capacity, calls get missed and customers go unserved.
SOLUTION
AI call center for high volume support
A smart call center that answers and dials automatically, speaks in a natural voice, and connects straight into your CRM.
AI call center for high volume support
OKAXI builds an AI call center that answers and dials automatically for B2B companies with high call volume. It speaks in a natural voice, detects customer sentiment, classifies and tags cases automatically, routes calls, and connects deeply into your CRM so every interaction is captured and put to use.
Core technology
- Voice AI / ASR
- Text-to-Speech
- NLU & Sentiment
- AI Agent
- CRM Integration
- Apache Kafka
- Microservices
- REST & gRPC
What traditional call centers struggle with
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High support cost
Staffing a 24/7 desk is expensive and hard to scale quickly when volume spikes.
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Long waits, abandoned calls
Extended hold times drop calls and erode customer satisfaction.
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Call data wasted
Thousands of calls go unanalyzed, losing insight into customer needs and sentiment.
Before and after the AI call center
Before (manual desk)
- Overloaded at peak, missed calls
- Staffing cost scales with volume
- Customers wait minutes then drop
- Thousands of calls left unanalyzed
After (AI call center)
- AI answers concurrently 24/7 with no missed calls
- Fixed cost, AI handles most repetitive calls
- Instant answers, handed to a human at the right moment
- Automatic case tagging, sentiment and trend analysis
The OKAXI three step rollout
- 01
Build scripts and integrate CRM
Design conversation flows for your operations and connect your CRM and existing PBX over APIs.
- 02
Train voice and classification
Tune the natural voice, intent and sentiment detection, and the case tagging rules.
- 03
Run and improve continuously
Monitor in real time, measure self serve rate and satisfaction, and refine scripts from data.
Real-time voice signal processing and data sync of the AI Agent call center
Committed optimization metrics
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24/7 with no missed calls
AI handles unlimited concurrent calls, so every call is answered even at peak.
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Lower support cost
AI takes most repetitive calls, freeing your team for complex, high value cases.
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Shorter wait times
Instant answers and accurate routing cut the rate of mid call abandonment.
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Call data put to use
Automatic case tagging, sentiment and trend analysis deliver insight to operations.
Technical FAQ
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Does the AI call center sound natural, and when does it hand off to a human?
It uses natural synthesized speech with a language understanding model to hold a smooth conversation along your business scripts. For complex or sensitive cases, or whenever the customer asks, it routes immediately to the right agent with full call context, so customers never repeat themselves.
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How does it integrate with our CRM and existing call center?
We connect over APIs and an Apache Kafka queue to your existing CRM, ticketing and PBX/SIP systems, with no full replacement required. Every call, case tag and sentiment record is written straight into your CRM for the team to track and use.
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Is call data and customer information kept secure?
Yes. Call data is processed in isolated environments under role-based permissions with full audit logging, and can be deployed on-premise or in a private cloud for compliance. Sensitive information is never sent to public LLMs, keeping customer data safe.
The engineering foundation of the AI call center
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The AI call center inherits the secure Private LLM packaging and infrastructure isolation of the OKAXI enterprise AI integration service.
See enterprise AI integration -
A stack of Python, C#, Kafka and Docker is the assurance behind a voice system handling thousands of concurrent calls.
Explore our tech stack
Ready to upgrade your call center with AI?
Book a demo of the AI call center handling real scenarios from your industry, completely free of charge.
Book a Demo