Conversational AI & Document Intelligence
2–10 weeksEvery answer links back to the exact document it came from — no making things up.
Answers with a source
96%
no made-up answers (faithfulness)
Finds the right info
92%
correct retrieval (hit rate)
Resolved without a human
78%
escalates to a person if not
We build conversational AI for both ends: agents that retrieve and reason over contracts, manuals, and case files (RAG, with tool use and multi-step orchestration), and conversational flows that resolve FAQs, guide requests, and escalate to a human when needed — all of which can run inside your infrastructure. Technically: RAG architectures (chunking strategies, embeddings, vector stores, reranking) evaluated with RAGAS metrics (hit rate, faithfulness, answer relevancy); agentic pipelines with multi-step orchestration; and conversational flows with intent design, channel integration, and escalation logic.
Use cases
- —You want your team to query internal documents with traceable answers, without manual search
- —You need an assistant that reasons over technical, legal, or operational docs and uses tools
- —Your support team answers the same FAQs hundreds of times a month
- —You want to qualify and capture leads on WhatsApp or web without initial manual intervention
- —You want 24/7 service with escalation to a human only when necessary
Deliverables
- —Production RAG pipeline with chunking strategy and reranking
- —Retrieval evaluation report (hit rate, faithfulness, answer relevancy — RAGAS)
- —Agentic pipeline with tool use and multi-step orchestration (where applicable)
- —Documented conversational flow integrated to the channel (WhatsApp, web, email, or API)
- —Human-agent escalation logic and conversation analytics panel
- —Architecture documentation and maintenance guide