AI automation
Your busywork is a system waiting to be built.
How much of your team's week is spent moving information from one place to another? That is not a job. That is a workflow, and workflows can be built.
Why we are different.
Automation projects fail in two ways: they automate the wrong thing, or they automate the right thing badly. We avoid the first with discovery, mapping your processes before we touch them, and the second with the engineering discipline we bring from our agent work: clear boundaries, human checkpoints, and measurement from day one. No black boxes, no trust-the-magic. You will know exactly what runs, when, and how well.
What we automate.
Process discovery.
Which workflows actually deserve automation? We shadow the real work, count the hours, and rank the opportunities by payoff and risk. Sometimes the answer is a simple integration rather than an AI system, and we will tell you so.
Workflow automation.
Reporting that writes itself. Inbound requests that triage themselves. Handoffs that happen without the reminder email. We build automations end to end and connect them to the tools you already use.
Internal tools.
Sometimes the bottleneck is not a workflow but a missing tool: the dashboard nobody built, the lookup that takes four tabs. We design and ship small internal tools fast, and they pay for themselves embarrassingly quickly.
AI enablement.
Your team is already using AI. The real question is whether anyone is doing it well. We set up the guardrails and playbooks, then train your team until scattered experimentation becomes a company capability.
Measurement.
Every automation we ship comes with a number attached: hours saved, response time cut, error rate down. If we cannot measure it, we do not call it done.
Where this experience comes from.
The automation work rests on systems our founders have already built and run in production:
- A rewards and campaign platform orchestrating dozens of data sources and APIs: CMS content, social integrations, queues, and cron-driven services.
- Real-time data systems with WebSocket streaming, parallel execution, and the monitoring, reconciliation, and idempotency work that keeps them correct.
- Multi-source retrieval over Slack, GitHub, Linear, Notion, and Calendar, so internal questions get answers grounded in actual company data.
- Internal dashboards, admin tools, and TypeScript libraries that abstract away configuration so teams adopt them without a manual.
Popular AI automation requests we receive.
Project-based.
- Automation opportunity audit
- Single-workflow build
- Internal tool sprint
Ongoing needs.
- Automation operations and expansion
- AI enablement and training
Let's start something new. Say hello!
Thanks. We will reply within two business days.