AI systems integration that fits the software you already run.
We add AI to real operations: assistants that answer from your own documents, agents that handle routine steps in a workflow, and voice or chat receptionists that take requests around the clock. Every system is scoped to a measurable job, connected to your existing tools, and tested before it goes live.
What we do
- Model selection and architecture: choosing the right model for cost, speed, accuracy and privacy
- Knowledge assistants grounded in your own documents and data
- Workflow automation and AI agents with clear approval steps
- Voice and chat assistants for intake, scheduling and customer questions, in English and Spanish
- Evaluation, guardrails and monitoring so answers stay accurate and on-policy
- Integration with your CRM, calendar, email and internal systems
What you get
- Use-case and data assessment
- Working pilot on your real workflow
- Production integration and handoff
- Evaluation suite and monitoring
Typical stack
- Anthropic and OpenAI models
- Retrieval and embeddings
- TypeScript and Python
- PostgreSQL
- Vercel, AWS, GCP and Azure
Frequently asked questions
What does AI systems integration include?
Choosing a model, connecting it to your data and tools, building the workflow around it, and adding evaluation and monitoring so it behaves reliably in production.
Can you add AI to our existing software?
Yes. Most projects connect AI to systems a business already uses, such as its CRM, calendar, document storage or internal databases, rather than replacing them.
How do you keep AI answers accurate and safe?
Assistants answer from approved sources, refuse what they should not handle, and are tested against an evaluation set before launch and monitored after.
Do you work with small businesses?
Yes. We are a small business ourselves and scope pilots so a smaller team can see results before committing to a larger build.