Del-Mar Solutions' AI Automation practice gives mid-size companies the operational leverage that's usually reserved for enterprises with in-house data science teams. It works across industries, wherever a process is manual, repeatable, and taking up hours a team could spend on higher-value work. The goal is straightforward: lower operating cost, protect margin, and give leadership a clear picture of what's running automatically and where a person still makes the call.
Every process is different, so every engagement starts with the same question: which parts of the task are truly repeatable, and which parts need judgment? Rule-based automation handles the first category. AI steps in for the second: the exceptions, the missing fields, the two systems using different codes for the same thing.
Discovery & Process Mapping
A realistic scope is the foundation of any automation project, even when the process itself only exists as tribal knowledge inside a team. Del-Mar starts by mapping how the work actually happens today.
A short discovery workshop to understand the process as it's actually run
Live walkthroughs of agents already built for comparable cases
A first project scoped around one concrete, contained task
Works from existing documentation, or builds the map from scratch
What We Automate
Del-Mar takes on the manual, rule-based work that quietly eats a team's day:
Invoice registration and ERP matching
Insurance claim submission and code reconciliation
Data cleanup in legacy databases
Certified payroll processing
Implementation & Integration
Automation only creates value if it fits into the systems a client already runs. Agents are designed to work inside existing ERP, claims, or database platforms rather than requiring a change to how the team operates around them. Deployment includes monitoring from day one, so clients can see what the automation is doing and how often it's handing a case to a person.
