Stop answering the same questions twice.
A product team was fielding the same handful of questions on repeat — pricing, setup steps, integration guides, billing. Their support queue was full of tickets any FAQ page could have answered. Agents were burning time on zero-complexity requests, and customers were waiting hours for answers that should have been instant.
An AI FAQ assistant built on LangChain, FAISS vector search, and GPT-4. It ingests the product's existing FAQ content, help docs, and release notes, then answers customer questions instantly, grounded strictly in that content. No hallucinations. Confident answers go straight to the customer. Anything outside scope is escalated to a human with full context attached.
Average response time
Help articles indexed
Ticket deflection rate
Support cost reduction
within 30 days of launch
Knowledge base ingestion
We ingested the full help centre — docs, FAQs, and changelogs — through a chunking and embedding pipeline tuned for support content. New articles are indexed in under 30 seconds.
Answer grounding & escalation logic
Every answer is grounded in retrieved content. When confidence is low, the bot hands off to a human agent with the full conversation context — so customers never have to repeat themselves.
Deployment & integration
The assistant was embedded directly into the product's existing website via a lightweight widget. No rebuild required, just a drop-in script, configured to match the brand, live in hours.
We take on a handful of projects each quarter.
Let's see if we're the right fit.
we read every message. yes, actually.
