SERVICES
AI Automation
AI agents wiring up workflows, content engines and decision support tools.
The problem
Repetitive operations eat hours: report prep, email triage, content summarization, customer routing. AI stays as a demo and never reaches production.
Our approach
We design agent architectures — Claude / OpenAI + RAG + your app APIs. Each agent has a defined scope, is observable, and ships with a feedback loop.
What you get
- Use case map and ROI projection
- Agent architecture and prompt system
- Vector DB (Pinecone / pgvector) + RAG pipeline
- Slack / dashboard integration
- Monitoring panel and human-in-the-loop layer
Process
- 01
Use case
Pick the processes with the fastest payback together.
- 02
Prototype
First agent in a test environment within 2-3 weeks.
- 03
Production
Evals, monitoring, fallbacks, human approval.
- 04
Scaling
Second, third agent; shared tool layer.
Frequently asked
Task-dependent: Claude (long context, analysis), OpenAI (general), open-source (custom data / on-prem).
Related services
LET'S BUILD
Make your next product the winning one.
A 30-minute discovery call lands you a clear scope, timeline and investment.