Build autonomous AI agents that act, decide, and integrate across your systems — designed for production from day one, not just demos.
6 wks
to production AI agent
10+
system integrations per agent
80%
reduction in manual workflow steps
99%
guardrail compliance rate
Most AI integrations stop at the chatbot layer. We build agents that take real actions: reading your CRM, updating your database, calling your APIs, drafting communications, and escalating to humans only when genuinely needed. The architecture is designed around reliability, auditability, and graceful failure — because production AI is different from a notebook demo.
We choose the right model for each task rather than defaulting to the most expensive option. Structured outputs, function calling, and deterministic post-processing make AI behaviour predictable. Evaluation harnesses measure quality before deployment and flag regressions after.
Map the workflow, define success criteria, and identify where AI adds genuine value vs where deterministic code is the right choice.
Two-week prototype with an evaluation harness measuring quality on real examples before a line of production code is written.
Observability, error handling, retry logic, cost controls, and guardrails built in — not bolted on at the end.
Phased rollout with A/B comparison, usage dashboards, cost tracking, and alerting on quality regressions.
You have repetitive knowledge-work processes taking hours every day
Document review, data extraction, report generation, email drafting — tasks that are too varied for simple automation but follow patterns an LLM can learn.
Your support team spends most of its time answering the same questions
A RAG-powered support agent backed by your documentation resolves common queries instantly, escalating edge cases to humans with full context.
You've tried a chatbot but it hallucinates or feels unreliable
The issue is usually architecture, not AI capability. Proper evaluation harnesses, retrieval design, and guardrails make the difference between a demo and a product.
You need AI integrated with real business systems, not just a chat UI
Agents that read from your CRM, update Jira tickets, query your database, and send Slack notifications — real tool use, not simulated actions.
Describe the workflow you want to automate and the systems it needs to interact with. We'll scope a prototype in one call.