AI is especially useful for tasks that involve unstructured data — reading PDFs to generate purchase orders, scanning invoices and receipts for accounts payable, classifying support tickets, analyzing plain-text notes for actionable items, and flagging anomalies in transaction or inventory data. We also automate rule-based workflows like order processing, report scheduling, and approval chains. When automation involves connecting multiple platforms, it often goes hand-in-hand with systems integration.

No. Most business automation use cases — document extraction, text classification, anomaly detection — work well with pre-trained models and APIs. When a use case needs more accuracy or domain-specific behavior, we fine-tune existing models on your data, which is significantly more cost-effective than training from scratch. You get AI tailored to your business without the overhead of building and maintaining custom models.

We start by mapping your current workflows and looking for the highest-impact opportunities — processes that are time-consuming, error-prone, or bottlenecking your team. Tasks involving manual data entry from documents, repetitive classification, or pattern detection are often the best candidates for AI-driven automation.

We start with discovery and scoping, then move into specification and architecture before building incrementally. You see working software early and often, and we adjust as we go. If you're not sure where to start, our consulting service can help define the scope.

As involved as you want to be. Some clients prefer to sign off on the spec and let us deliver the finished product with no check-ins in between. Others join weekly reviews to see progress and give feedback as we go. Either way works — we adapt to your preferred level of involvement and can always adjust mid-project.

Yes. We offer post-launch support including maintenance, bug fixes, updates, and feature additions. We also offer managed hosting so your infrastructure is covered too.