Reference architectureAI agent
Inbound qualification system
Sales opens a ranked, enriched list instead of an inbox, and every enquiry is answered — including the ones that used to fall through.
- LLM agent
- CRM API
- Enrichment
- Queue
Reference architectureKnowledge system
Answer engine over internal documents
- 01 — The problem
- The answer exists — in a policy PDF, a past thread, a spreadsheet nobody owns. Finding it takes longer than the task, so people guess, and the guesses differ.
- 02 — What we built
- Documents are chunked, embedded and indexed with their source and recency preserved. Retrieval is tuned and evaluated against real questions, and every answer cites the document it came from so it can be checked.
- 03 — What changed
- Staff get a cited answer in seconds, and the cases where the system does not know are visible instead of invented.
Technology
Built with
- Vector database
- Embeddings
- Reranking
- Citations
- Evaluation set
Related
Nearby work.
- Reference architectureDocument automation
Document-to-ledger pipeline
The routine majority posts without a human. Finance spends its time on genuine exceptions instead of on data entry.
- Vision + OCR
- Extraction
- Rules engine
- Accounting API
- Reference architectureCustom software
Operations platform with an AI layer
One source of truth with roles, history and reporting — and a system the business owns and can extend.
- Next.js
- TypeScript
- Postgres
- Background jobs
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