Train custom AI customer agents by uploading PDF guides, catalogs, or FAQ files. Empower bots to handle complex queries naturally and escalate hot leads to agents.
Standard rule-based chatbots fail when customers ask complex, unstructured questions. Our LLM-trained AI Agents read context guidelines (like product sheets, FAQ logs, and policies) to resolve queries naturally. Elevate customer support deflection, improve lead screening, and deliver instant, high-quality answers around the clock.
Scale operations and convert conversations into sales seamlessly with professional workflows built on Meta's official API node infrastructure.
Unlock direct scale advantages to manage customer communications seamlessly.
Unlock modern tools to scale customer service operations and run high-ROI campaigns.
Train AI agents by uploading PDF brochures, manuals, policies, and FAQ checklists to define boundary guidelines.
Deliver human-like, grammatically correct text responses to customer inquiries, avoiding rigid templates.
Detect the customer's language preferences instantly and switch language responses automatically.
Screen prospects by identifying budget variables, purchase timelines, and intent in conversation.
Transfer conversations to active human agents if the customer displays frustration or asks for human help.
Update Zoho CRM or HubSpot contact records dynamically with details collected by the AI agent.
Define system instructions to customize the AI's tone of voice, greeting style, and support boundaries.
Analyze conversation transcripts, check AI deflection rates, and monitor response quality values.
Enhance engagement, reduce operational friction, and secure higher sales conversion rates.
Provide precise, detailed answers to technical questions instantly, boosting customer satisfaction.
Support international clients in their preferred language without scaling night shift customer support staff.
Identify high-intent buyers naturally in conversation before routing them to busy sales teams.
Allow AI agents to suggest relevant products from your catalog matching customer descriptions.
Reduce the workload on human agents by letting the AI resolve routine product queries and FAQs.
Custom instruction inputs ensure the AI communicates safely and follows brand guidelines.
Go live in three simple structured phases with absolute testing support.
We collect product manuals, catalog details, FAQ sheets, and system instructions to train the AI model.
We upload training data, define system guidelines, configure handoff rules, and link Meta Cloud APIs.
We run test conversations, audit AI responses, configure pipeline updates, and deploy the live agent.
Common technical questions resolved regarding setup, verification, and limits.
We restrict the AI's data retrieval system to search only the uploaded context documents (PDFs, docs, and FAQs), preventing it from hallucinating general web information.
Yes. When a customer requests a spec sheet or brochure, the AI retrieves the matching file link and delivers the document automatically in the chat.
Yes. The AI agent can detect and chat fluently in regional Indian languages, including Hindi, Tamil, Telugu, and Kannada, as well as global languages.
Absolutely. You can define custom system prompts to shape the AI's persona (e.g. professional, friendly, technical) and set boundary instructions.
