Automate the Boring Stuff

High-volume, repetitive tasks with clear rules are ideal. Common examples: invoice processing, data entry, email triage, report generation, and customer onboarding. The best candidates are processes where you're paying skilled people to do work that doesn't require their skills. During discovery, we map your processes and calculate ROI for each — some are obvious wins, others aren't worth automating.

Most clients see positive ROI within 2-3 months. Document processing and data entry automations often pay for themselves within weeks due to high volume savings. We had one client processing 5,000 invoices monthly — the automation paid for itself in 6 weeks. We calculate expected ROI before starting and track it after launch.

Every automation we build has human-in-the-loop workflows for edge cases. The system flags uncertain items for human review, learns from corrections, and improves over time. We aim for high automation rates (90%+) with zero tolerance for undetected errors. For critical processes, we add verification steps and audit trails.

Yes. We've integrated with SAP, Oracle, NetSuite, Salesforce, HubSpot, Workday, and dozens of custom applications. If it has an API, we can connect to it. If it doesn't, we've built scrapers and workarounds for legacy systems that refused to die. We work with what you have.

Traditional RPA is brittle — it breaks when screens change. We use AI to understand context, not just click coordinates. Our automations handle variation and edge cases that would crash a traditional bot. That said, sometimes simple RPA is the right answer. We'll recommend the simplest solution that works.

AI handles more judgment calls than you'd expect — especially with LLMs. We've automated contract review, email triage with sentiment analysis, and expense approvals with policy checking. The key is defining clear rules for what gets escalated. Humans handle true exceptions; AI handles everything else.

Every project includes 30 days of post-launch support. After that, most clients stay on retainer because automation systems need care — processes change, edge cases emerge, and there's always more to automate. We typically find that once you automate one process, you see five more that need it.