Agents & LLMs
AI Automations
AI agents and integrations that remove manual work from your operations.
Overview
We build AI agents and integrations that take repetitive work off your team: triaging inbound requests, extracting data from documents, drafting replies and keeping systems in sync.
Built with
- Python
- OpenAI
- Anthropic
- LangGraph
- pgvector
- Temporal
Each automation is designed around a measurable workflow. We map the steps, decide where a model adds value and where plain code is safer, and keep a human in the loop wherever the stakes call for one.
Production matters more than demos. We add evaluation suites, retrieval over your own data, durable workflows with retries, cost controls and full tracing so you can see what every run did and why.
Why it matters
Done well, automation gives hours back to every person on the team. Done badly, it creates risk. Our approach keeps the savings and adds the testing and oversight that make the system trustworthy.
What we deliver
What you get.
- 01Agent and workflow design
- 02LLM integrations and retrieval
- 03Operations automation and handover
How we work
From idea to launch.
Discover
We map the goals, users and constraints that shape the build.
Design
We prototype the interface and the system architecture side by side.
Build
We ship in short cycles with testing and observability from the start.
Launch & Iterate
We launch, measure against real usage and keep improving.
Questions, answered.
High-volume, rule-heavy tasks with clear inputs and outputs, such as intake, document processing, support triage and reporting. A short workshop ranks your options by payoff and risk.
We build evaluation sets from your real data, add validation and human review for sensitive steps, and monitor quality in production so regressions surface quickly.
Only if you allow it. We can use providers with zero-retention terms or run models in your own cloud account, and we document every data flow.
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