Pick one process
Map the steps, the data and the decisions. Agree what good output looks like and how we will measure it.
We connect language models to your data, your tools and your processes. Documents get read, enquiries get sorted, reports get written. A person approves anything that can't be undone.
Reading the same kinds of documents. Sorting the inbox. Copying data between systems. Writing the same report every week. These are good first candidates for AI. We start with one process, measure the result against how it runs today, and only then widen the scope.
Map the steps, the data and the decisions. Agree what good output looks like and how we will measure it.
Connect the model to your data and tools through their APIs, with permissions, logs and an approval step where it matters.
Watch quality and cost in daily use, then move to the next process.
Anthropic Claude API / Whisper / Python / Node.js / Next.js / Postgres / Webhooks / REST APIs
Claude writes a lead-qualifying quiz from a short description. Qualified leads leave by webhook or API.
Claude drafts any proposal section inside the editor: copy, pricing, timeline, FAQ, terms.
A voice assistant over mail, calendar, notes and code. Speech in, Claude in the middle, speech out. Irreversible actions wait for approval.
Agents scan public tenders and our apps' health every morning and send one summary e-mail.
An idea, a bottleneck, a system that has outgrown its tools. Tell us where you are.
Tell us about it