The symptom
Your team spends 30% of their week on work that a machine should be doing, copy/pasting between tools, summarizing emails, qualifying leads, building reports, drafting first drafts. Meanwhile every vendor pitches “AI-powered” something and nothing actually changes.
The bottleneck isn’t the AI. The bottleneck is picking the right workflows to automate and shipping them all the way through. Most companies start with the wrong target and stall at the demo.
What we actually do
We hunt for the 2-3 workflows in your business that AI genuinely changes, build them end-to-end, and ignore the rest.
- Workflow audit, map the team’s actual hours, find the 2-3 highest-leverage AI targets.
- Custom agents, built on Anthropic Claude, OpenAI, or open-source models. Right model for the job, not the trend.
- Production deployment, agents that run in production, not in a Notebook. Logging, retries, error handling, version control.
- Integration, Slack, email, CRM, your internal tools, your customer-facing surfaces.
- Operator training, your team learns to maintain and extend what we built.
Where this fits
Most projects start here or with Sales & Systems. If the workflow is novel enough that there’s no off-the-shelf tool, it usually graduates into Product Development.
What good looks like
The highest-leverage win is almost always boring: a repetitive task every person on the team does every week. Pick one, like turning meeting notes into a formatted client report, and build an agent that does the first draft in seconds while a human still approves and sends. Done right, one workflow gives a team back hours a week, pays for itself fast, and earns the trust to automate the next one.
Who this is for
Founders who want AI working in the business, not photo-op announcements about AI. If the goal is to look modern at a conference, we’re not the call. If the goal is to compound time savings and remove human bottlenecks, we are.
