Hallucinated Responses
Standard LLM chatbots generate plausible but factually incorrect answers when the right content is not grounded in verified internal documents.
Accurate. Grounded. Always On
Kumaran's Conversational AI Bot helps Contact Centre Executives or End Customer to answer questions instantly - using grounded internal knowledge sources, without hallucinations, full context awareness and enterprise-grade security with multiple clouds and on-prem deployment support.

Kumaran's AI Chatbot is an enterprise-grade Conversational AI assistant built for internal Contact Centre operations. It answers questions raised by Contact Centre Executives on behalf of end customers, drawing exclusively from verified internal documents such as Word files, PDFs, HTML pages, images and SharePoint portals.
Built with a cloud-agnostic approach that supports both cloud and on-prem deployment with major LLM vendor models. The bot is conversational and context-aware, avoids sensitive topics through built-in guardrails and PII filtering, and continuously improves through a structured feedback and fine-tuning loop, supporting scalable and high-availability deployment.
Contact centre chatbots built on general-purpose LLMs or simple retrieval approaches face a consistent set of failures in enterprise environments.
Standard LLM chatbots generate plausible but factually incorrect answers when the right content is not grounded in verified internal documents.
Most bots treat every question as independent, failing to understand follow-up questions that rely on earlier conversational context.
Without guardrails, bots may respond to prohibited or sensitive queries, creating compliance and reputational risk for the organisation.
Many bots only work with one file type, leaving valuable knowledge locked in Word docs, PDFs, HTML pages, images and SharePoint portals untapped.
Vector-only or keyword-only search approaches miss the relevance sweet spot, returning imprecise results and degrading response quality.
Chatbots without a feedback loop cannot learn from Contact Centre Executive corrections, causing persistent errors to go uncorrected over time.
Single-region deployments create single points of failure, risking service outages for business-critical internal support tools.
Without proper authentication and authorisation flows, internal chatbots risk exposing confidential documents to unauthorised users.
Kumaran's Conversational AI Bot resolves these challenges through eight purpose-built architectural capabilities.
Combines semantic vector search and traditional text-mining (unigram, bigram, trigram, phrase and stop-word handling) via Elastic Search for superior retrieval accuracy.
A document crawler parses and logically chunks content from Word, PDF, HTML, images, SharePoint and other sources, then embeds and indexes each chunk via OpenAI embeddings.
The service checks the user's chat transcript for context, rewrites follow-up questions into standalone queries and uses that for retrieval, not for answer generation.
Every query is authenticated against Microsoft Azure Active Directory before processing, ensuring only authorised users access the knowledge base.
Responses are generated by LLM using only the retrieved, augmented content from the internal knowledge base, preventing hallucination by design.
Contact Centre Executives can provide feedback on responses. Issues are categorised and used to continuously fine-tune bot behaviour and improve answer quality.
Dual-region Azure deployment with Cross-Region Replication, Enterprise Redis and a Traffic Manager ensures resilient, always-on availability.
The bot detects greeting, chit-chat, sensitive and out-of-scope queries, responding appropriately without exposing restricted content or fabricating answers.
Every user query follows a 7-step message flow from the chat widget to the verified response.
The Contact Centre Executive types a question on behalf of the end customer via the Chat Widget (Single Page App).
The Conversational AI Service authenticates the incoming query against Microsoft Azure Active Directory before any processing begins.
The service reviews the user's chat transcript for conversational context and rewrites the question into a clean, standalone search query.
The rewritten query is passed to Elastic Search, which performs a hybrid search combining semantic vector matching and keyword text-mining across the indexed knowledge base.
The Conversational AI Service prepares the retrieved content as augmented context and submits it to OpenAI LLM for answer generation.
LLM generates a fact-based response using only the augmented knowledge-base content. The response is returned to the Chat Widget.
On conversation end or session timeout, the full chat transcript is moved to Cosmos DB for audit, analysis and future fine-tuning.
Six strengths that make Kumaran the trusted partner for hallucination-free, enterprise-grade conversational AI.
Elastic Search-powered hybrid search combining semantic vectors and keyword text-mining delivers the most relevant results for every query.
LLM generates answers only from retrieved, verified knowledge-base content, making hallucination structurally impossible.
Crawls and indexes Word, PDF, HTML, images, SharePoint and other document formats, no knowledge left behind.
Conversational context is used precisely to rewrite follow-up questions, never to contaminate answer generation.
Azure Active Directory authentication and full authorisation flow ensure only the right people access the right knowledge.
Feedback from Contact Centre Executives is categorised and fed into a fine-tuning pipeline, making the bot smarter over time.
Quick answers about Kumaran's AI Chatbot for Contact Centre. Don't see yours? Reach out and we'll get back to you.
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Real outcomes delivered through Conversational AI deployments across enterprises.
Talk to our AI team about deploying Kumaran's Conversational AI Bot across your Contact Centre and Customer Care workflows.