AI knowledge retrieval for a customer support centre.
An AI assistant that puts the right answer in front of every support agent — plus a chatbot for the rest — built on retrieval over the institution's own knowledge.
Support agents at a large financial-services firm were searching fragmented knowledge bases to answer customers — slow, inconsistent, and hard to scale across a busy contact centre.
We built AI-assisted knowledge retrieval: a vector index over the firm's knowledge, an agent-assist layer that surfaces answers to the human agent in real time, and a customer-facing chatbot for common questions.
Customer-support agent assistant — automatically provides the right information to the agent as a conversation unfolds. AI chat-bot — handles common customer queries directly, with retrieval grounded in approved knowledge.
- A retrieval-grounded agent assistant
- A customer-facing AI chatbot
- A knowledge-ingestion & indexing pipeline (Pinecone)
- Delivered to MVP in 3 months
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