AI-Native Service
Intelligent Automation
We automate the document-heavy, repetitive, judgment-light work that eats your team's time — using AI where it helps and plain code where it's better.
Every company runs on a layer of manual work that nobody chose and everybody tolerates: rekeying data between systems, processing documents by hand, moving content through approvals, answering the same questions again and again. It's slow, it's error-prone, and it scales by hiring.
We automate that layer. Some of it calls for AI — pulling structured data out of messy documents, drafting content, triaging and routing requests, summarising long threads. Some of it is better handled by a well-built integration and a few rules. We use whichever fits, and we're honest about which is which, because an AI model where a simple script would do is just a more expensive way to fail.
The work starts by mapping what your team actually does, not what the process diagram claims. We automate the highest-friction steps first, measure the time reclaimed, and expand from there.
What We Do
The concrete work inside a Intelligent Automation engagement.
- Document processing and data extraction from unstructured sources
- Content operations: generation, tagging, and migration at scale
- Workflow automation and system-to-system integration
- Support triage, routing, and response drafting
- Internal copilots and assistants grounded in your own knowledge
- Human-in-the-loop review for anything that needs a check before it acts
What You Get
Outcomes we hold ourselves to — not activity, results.
- Hours returned to your team every week, on work they were never meant to do by hand
- Fewer errors on high-volume, repetitive tasks
- Processes that scale with demand instead of headcount
- A clear before-and-after: we measure the time and cost each automation removes
Tools & Technologies
We stay model- and platform-agnostic — the right tool changes fast; the engineering standard doesn’t.
- Claude API
- OpenAI API
- Model Context Protocol (MCP)
- LangChain
- Python
- TypeScript
- Azure Functions
Senior-led
A principal engineer accountable from first spec to production.
Built for production
A decade of shipping systems that could not afford to fail.
AI-augmented delivery
Specs, coding agents, and automated review on every build.
Let’s talk about your Intelligent Automation work.
Tell us what you’re trying to ship. We’ll tell you, honestly, how we’d approach it.