Intelligent Customer Support Assistant
A knowledge-based assistant that answers customer questions using business documentation and escalates complex queries.
This is a concept project: an illustrative design showing how we would approach this problem. It is not a client case study, and the interface shown uses placeholder data.
The problem
Support teams answer the same questions repeatedly, while customers wait for answers that already exist in help docs and policies.
Our approach
Documentation is indexed for retrieval. The assistant answers only from those sources, shows citations, and recognises when it should hand the conversation to a person — with a summary attached.
Workflow
How it works, step by step
- 01
Ingest
Help centre, policies, product sheets and FAQs are indexed.
- 02
Retrieve
Each question pulls the most relevant passages.
- 03
Answer
A grounded answer is generated with links to sources.
- 04
Escalate
Low confidence, sensitive topics or requests for a human create a ticket with a summary.
- 05
Improve
Unanswered questions are reviewed to fill documentation gaps.
Architecture
System overview
Knowledge
- Help centre
- Policies & PDFs
- Product data
AI layer
- Embeddings index
- Retrieval (RAG)
- Guardrails
Channels
- Website chat
- Helpdesk hand-off
Key features
- Answers grounded in your documents, with citations
- Confidence-based human hand-off
- Conversation summaries for agents
- Admin view of unanswered questions
- Tone and topic guardrails
What we'd measure
The metrics we'd agree with you up front to judge success.
- →Questions resolved without escalation
- →First response time
- →Documentation gaps found
Want something like this for your business?
We'll adapt the approach to your workflow, tools and budget.