AI Automation
AI Automation
Automate the work that still runs on email, spreadsheets, and copy-paste — from back-office documents to plant-floor maintenance — with workflows you can audit.
What We Do
Where AI automation pays off
Process Discovery & Redesign
We map the workflow as it actually runs, so automation lands on the right steps instead of being glued onto a broken process.
Document & Data Automation
Extraction, classification, and validation of invoices, forms, contracts, and reports, with exceptions routed to a person.
Support & Operations Workflows
Ticket triage, drafting, and routing, grounded on your systems, with approval steps where the stakes are high.
Industrial & Maintenance Automation
Alarm triage, work-order creation, and shift reporting built on SCADA, historian, and CMMS data.
Reliable Orchestration
Durable workflows with retries, timeouts, and audit logs, so one failed step never leaves work half-done.
ROI & Monitoring
Baselines before launch, then tracking of time saved, error rates, and cost per task in production.
Platforms & tools our engineers work in daily
FAQ
Common questions
- Which processes are good candidates for AI automation?
- High-volume, rule-heavy work with messy inputs: document intake, ticket triage, data entry between systems, reporting, and maintenance work-order handling. We start by measuring the process as it runs today.
- How is AI automation different from RPA?
- RPA follows fixed scripts and breaks when inputs change. AI automation handles unstructured inputs such as emails, PDFs, and free text, and decides what to do next. In practice we combine both: AI for judgment, deterministic workflows for the steps that must not vary.
- Can it connect to our industrial and legacy systems?
- Yes. Our industrial background means we can connect to SCADA, historians, MES, and CMMS as well as standard enterprise systems, with read-only access first and write access only where it has been validated.
- How do you measure ROI?
- We baseline hours, error rates, and cycle time before building, then track the same measures plus cost per task after launch. If the numbers don't justify scaling, we tell you.
Reference architectures