AI Chatbot Development Services

Azumo's chatbots stand out by integrating state-of-the-art Generative AI technologies, such as Large Language Models (LLMs) like OpenAI's ChatGPT, but are tailored to your use case with domain-specific training. This unique approach enables the chatbots to grasp and navigate the complex language and concepts unique to each business, providing precise, contextually relevant responses.

Yes. We integrate with Salesforce, HubSpot, Zendesk, ServiceNow, Intercom, Freshdesk, and custom APIs. Your chatbot can create tickets, update CRM records, route conversations to agents, and pull customer data in real time. We also connect to Slack, Microsoft Teams, and WhatsApp for omnichannel deployment.

RAG (Retrieval-Augmented Generation) connects an LLM to your real-time knowledge base so every response is grounded in your actual data rather than the model's general training. This dramatically reduces hallucinations and makes responses auditable. Most of our enterprise deployments use RAG as the core architecture because accuracy and trust matter more than conversational flair.

We build production-ready chatbots for customer service, e-commerce, healthcare, and financial services. Each bot is trained on industry-specific terminology and compliance requirements. Healthcare deployments are HIPAA-compliant with BAA agreements. Financial services bots handle KYC workflows with full audit trails and end-to-end encryption.

The investment in developing an AI chatbot varies greatly depending on the complexity, customization, and specific business requirements. We provide bespoke solutions tailored to each client's needs, ensuring optimal ROI. We also offer a very easy to use out-of-the-box solution called Charlibot which can be deployed to websites and social media platforms and trained quickly on your most relevant data.

Most of our chatbot development projects take between 2 to 6 weeks, depending on complexity and platform integration requirements.

These are services that help businesses design, build, and deploy automated chatbots using artificial intelligence, often powered by natural language processing (NLP) and large language models.

Yes. We build custom voice AI systems using real-time speech-to-text, LLM processing, and text-to-speech pipelines. Our voice solutions handle inbound calls, appointment scheduling, lead qualification, and receptionist workflows. We use Deepgram, ElevenLabs, and LiveKit alongside Claude and GPT-4o for low-latency voice interactions.