How we do it
We provide conversational AI solutions that work smoothly with your existing business systems. Our architecture—built on telephony, AI voice capabilities, knowledge management, API integrations, analytics, and low-code automation—enables businesses to deliver quality customer experiences consistently and for us to deploy them very quickly.
Telephony and Messaging Integration
Our platform features a comprehensive telephony and messaging system supporting voice calls, SMS, and messaging services including the like of WhatsApp and Slack.
This enables businesses to connect with customers through their preferred communication channels.
The integration handles both inbound and outbound communications, facilitating timely engagement and better customer experiences.
AI-Powered Voice Interactions
We integrate conversational AI technology to improve voice-based exchanges. This system interprets spoken language, enabling fluid conversations between users and AI agents.
Using dedicated API connections to low latency voice processing services, it provides prompt responses and coherent user experiences, making interactions more contextual and effective.
Human-Like Speech for Natural Conversations
To enhance the clarity and expressiveness of AI-generated speech, our solution incorporates industry-leading text-to-speech capabilities.
This technology delivers highly natural and human-like voice synthesis,
supporting multiple languages and voice styles to cater to diverse customer
needs.
Whether engaging in casual conversation or delivering complex responses, the AI agent ensures clarity, warmth, and professionalism in every interaction.
Knowledge-Driven Interactions
A key component of our platform a dynamic knowledge base, which aggregates and structures information from various sources, including FAQs, product documentation, websites and customer records. This allows AI agents to retrieve relevant details quickly and accurately when responding to customer inquiries. Additionally, these knowledge bases can be programmed to query dynamic data sources, such as CRM systems or proprietary databases, ensuring that the AI agent delivers real-time, personalized responses.
By leveraging this structured knowledge, businesses can provide their customers with instant, precise answers while ensuring consistency in communication across all interactions.
API-Enabled Integration with Business Systems
Our platform connects with external business systems for real-time data access and management. When receiving a call, the AI agent can access the caller's customer profile, enabling personalized service. Integrations include:
CRM Systems – Access and update customer profiles in systems like Oracle Fusion Cloud or Microsoft Dynamics 365
Order/Inventory Management – Provide updates on order status and product availability
Billing/Payment Platforms – Handle invoice questions and process payments
Scheduling Tools – Manage appointments and deliver reminders
Call Analysis for Continuous Improvement
To ensure ongoing enhancement of AI agent performance, our platform incorporates powerful call analysis tools.
AI-Based Call Evaluation – A native assessment model utilizes a large language model (LLM) as a judge to evaluate conversation effectiveness. This system provides structured feedback on AI-generated responses, helping refine conversation flow and accuracy.
External Call Analysis Tools track interaction patterns, assess customer sentiment, and generate insights for optimization. These tools offer a detailed view of caller journeys, highlighting areas for improvement and identifying opportunities for better engagement.
By continuously monitoring and refining AI interactions, businesses can ensure high-quality, reliable customer service.
Workflow Automation with Low-Code/No-Code Integration
Our low-code / no-code automation tools connect AI agents with third-party applications, enabling:
CRM Data Synchronization – Syncing customer data between systems like Oracle Fusion Cloud and Microsoft Dynamics
Multi-Channel Marketing – Triggering email follow-ups in Mailchimp or creating customer segments in HubSpot
Support Ticket Management – Generating cases in Zendesk or follow-up tasks in Salesforce Service Cloud
Process Automation – Sending conversation summaries to Slack or creating project tasks in Asana
Read Our Blog Posts
Getting Better Answers from AI: How RAG Supercharges Large Language Models
Learn how Retrieval-Augmented Generation (RAG) helps AI voice agents deliver accurate, up-to-date responses by combining language models with real business data—perfect for smarter customer interactio... ...more
Voice AI for Business ,Product Updates & Features &News & Press
April 21, 2025•3 min read
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