Pattern Recognition Works Everywhere
We don't specialize in your industry. We specialize in finding repetitive work that follows rules—then automating it. Whether you're in healthcare, e-commerce, or manufacturing, the methodology is the same.
Domain-Agnostic Automation That Works
We focus on the structure of work, not industry-specific terminology.
Invoice processing follows the same pattern whether you're in manufacturing or professional services. Document arrives. Data gets extracted. System entries happen. Exceptions get flagged.
The context changes. The automation pattern doesn't.
Customer follow-ups in e-commerce use the same logic as patient reminders in healthcare. Trigger event. Status check. Personalized message. Response logging.
What determines if a workflow is automation-ready:
How often does it happen?
Does it follow documented steps?
How much time does it consume?
What breaks if it fails?
These questions matter more than industry labels. Your specific workflow shapes what we build. The underlying patterns shape how we build it.
We learn your context fast, then apply automation principles that work universally.
We're not industry specialists. We're pattern recognition specialists.
High-frequency, rule-based work
Tasks that happen weekly (or more) and follow documented steps. Invoice processing. Data entry. Status updates.
Trigger-based communications
Messages sent when something happens or on a schedule. Order confirmations. Payment reminders. Follow-ups.
System-to-system data movement
Information manually copied between platforms. CRM to accounting. Orders to shipping. Production to reporting.
Documentation and logging
Recording activities, maintaining compliance records, generating reports, tracking certifications.
The Automation Principles Are Universal. Your Specific Requirements Shape What Gets Built.
Whether you're processing invoices in healthcare or tracking inventory in manufacturing—if the work is repetitive and follows rules, it can be automated. Let's identify your highest-ROI opportunity.