We design, build and run assistants that read your data, call your tools and ask for approval before anything leaves the building.

Invoices, tickets, CRM updates and reports eat hours that should go to customers. Off-the-shelf chatbots don’t know your data and can’t be trusted to act.
Overdue invoices, payment matching and reminder drafts.
Answers from your docs with links to sources.
Multi-step workflows across email, Slack and your CRM.
One place to ask questions across company knowledge.
Extract, validate and file data from PDFs and forms.
Test suites that catch wrong answers before release.
4–8 weeks for a first agent in production, then monthly improvements.
Tech lead, AI engineer, backend engineer, QA. Same people from kickoff to launch.
TypeScript, Python, Postgres + pgvector, Claude and OpenAI models, your existing APIs.
We map one high-volume task and its rules.
A working agent on your sample data, demoed Thursday.
Approvals, permissions, logging and test sets.
Production rollout with weekly accuracy reports.
Models never train on your data. Every action is logged, sensitive steps need human approval, and you can switch model providers without a rewrite.
We pick per task, usually Claude or GPT models, and keep the provider swappable.
Only where you allow it. Anything that sends, pays or deletes waits for a person by default.
Every agent ships with an evaluation set built from your real cases, run on every change and reported weekly.
It runs in your cloud account, with your model API keys. We can operate it for you on a retainer.
A 30-minute call with a senior engineer. You leave with a clear next step.