Workflow orchestration
Map triggers, tasks, approvals, exceptions and outputs across the systems your team already uses.
AI automation
AI automation for workflows that are too valuable to leave manual.
ROTZ.AI connects models, documents, APIs, ERP, CRM, approvals and dashboards into observable automation systems.
Workflow automation · document intelligence · ERP/CRM integration · operations
AI where reasoning is useful
Deterministic automation where reliability matters
Clear monitoring, approvals and ROI tracking
AI automation
Automation only works when the full workflow is designed
AI automation is not a chatbot attached to a process. It is an operating flow where inputs, models, business rules, human approval and system actions are connected reliably.
ROTZ.AI builds AI automation for teams dealing with documents, inboxes, cases, orders, exceptions, reports, customer requests and internal knowledge work.
We combine deterministic orchestration with AI reasoning so workflows become faster without becoming unpredictable.
Automation capabilities
Document and data intelligence
Extract, classify, validate and route information from emails, PDFs, portals, databases and APIs.
Human approvals
Keep people in control for high-risk steps while automating repetitive preparation and execution.
Operational dashboards
Track throughput, quality, cost, exceptions, model performance and ROI.
How we automate safely
01
Select the workflow
We target processes where volume, delay or error cost makes automation worthwhile.
02
Design the control model
We decide where AI reasons, where rules dominate and where humans approve.
03
Integrate systems
We connect ERP, CRM, data, documents, APIs and communication channels.
04
Measure and improve
We monitor quality, exceptions and ROI so automation improves instead of drifting.
AI automation questions
Which workflows are best for AI automation?
High-volume, repeatable workflows with documents, decisions, routing or exceptions are usually the strongest candidates.
Can automation include humans?
Yes. Human approvals and exception queues are often the difference between a safe production system and a risky prototype.
How do we measure ROI?
We define baseline time, cost, error rate and throughput before release, then report against those metrics.