AI Automation
Stop Doing the Same Thing Twice.
Automation without AI is just scripting, it breaks the moment something unexpected happens. AI automation is different. It handles variation, makes judgment calls within defined parameters, and keeps moving when a traditional automation would stop cold.
The result is workflows that actually hold up in the real world.
Where We Focus
We look for the highest-friction points in your operations. The places where smart people spend time on tasks that don’t need smart people. Data entry, report generation, email categorization, invoice processing, scheduling, customer follow-up sequences.
These aren’t glamorous use cases. But they’re where the real ROI lives for most businesses, and they’re exactly where AI automation compounds over time.
Our Toolset
- Make (formerly Integromat) and Zapier for workflow orchestration
- Custom Python and API integrations for complex logic
- OpenAI and Claude integrations for the decision-making layer
- CRM, ERP, and accounting system connections
- Notification systems, dashboards, and human-in-the-loop checkpoints
How We Approach It
We don’t automate everything at once. We identify the two or three workflows that will have the biggest impact, build and test those first, and prove the ROI before expanding. That’s how you build organizational confidence in AI, not by overpromising and underdelivering on a massive rollout.
Most clients see measurable time savings within 30 days of deployment.
Curious what your time is actually worth on a per-hour basis? Run our free ROI Calculator, then book a call.