Services

Four practices. All built to actually launch.

We pick the right kind of automation for the work in front of us — and we'd rather build less than overbuild.

AI assistants that actually do the job.

An AI assistant earns its place when it removes a repetitive task from someone's calendar — not when it dazzles in a five-minute demo. We build assistants that handle the boring 80% of inbound work, hand the tricky cases to a person, and quietly improve as your team uses them.

Automated workflows that remove the busywork.

Most teams don't need an AI agent — they need the same five steps to stop happening by hand. We build workflows that move information between your systems automatically: updates that send themselves, records that update themselves, tasks that fire when something happens. Boring on purpose, and that's why they last.

Connect your tools. End the copy-paste.

Half of every workday in a small company is moving information between tools that should talk to each other. We connect them. Your CRM updates when a deal closes in your payment system. Your support inbox enriches every ticket with the customer's order history. Your spreadsheet syncs both ways with your database, automatically.

An honest strategy before you build.

Half the AI projects we see fail because the team built the wrong thing. The other half fail because they built the right thing on the wrong foundation. Before we touch any code, we do the unsexy work of figuring out which problems are worth solving and which aren't. Most teams leave our strategy sprint with a shorter list than they came in with.