AI automation
RAG, agents, CRM and support copilots
AI integration that does real work: copilots for your operators, RAG on internal documentation, agents that take over repetitive tasks.
- 01
RAG with vector search
We index documentation, resolved tickets, knowledge bases. The operator asks for an answer, AI cites the exact source from your data.
- 02
Pydantic AI agents with structured output
AI returns typed JSON (not free text) — easy to integrate into existing workflows without fragile parsing.
- 03
Prompt caching for cost control
Anthropic prompt cache (up to 90% cost reduction on repeated context). Per-feature monitoring of LLM spend.
- 04
Operator copilot inside the CRM
AI suggests the reply, the operator approves or edits. Average 40% reduction in resolution time, with AI never replying directly to the client.
- 05
Offline evaluation
Test set with real cases. Before we deploy a new model (Claude → Sonnet → Opus, GPT-4 → 5), we run eval and measure the regression.
Let's talk about your project
We reply within 24 business hours. 30-minute scoping call, no commitment.