/01
AI that survives production
We design fallback paths, human review, usage limits, evals, and logging before the feature becomes a cost surprise.
- RAG and document search
- Tool calling
- Streaming UX
- Cost and quality monitoring
Practical AI features
AI Integration
Assistants, retrieval, automations, and copilots that are observable, cost-capped, and useful.
/ Deliverables
Assistants, RAG, automations, internal copilots, eval pipelines, and practical AI features users keep using.
- Chatbots
- OpenAI APIs
- Document search
- Workflow automation
- AI analytics
- Internal tools
/ System
/02
Best use cases
AI should remove repeated work or unlock a new workflow, not sit beside the product as a demo.
- Support copilots
- Internal knowledge search
- Lead qualification
- Workflow automation
/ FAQ
Questions founders ask.
Do you only build chatbots?
No. We build chat, retrieval, workflow automation, internal copilots, and AI-assisted product flows.
Can we control AI cost?
Yes. We add usage limits, model routing, caching, and monitoring from the start.