AI-assisted process automation · United States
Use AI where it removes real work, with people in control of decisions
Language models are good at reading documents, emails, and free text that rule-based automation cannot handle. We add them to existing workflows with validation, audit trails, and a human review step for anything that carries risk.
30-minute initial call · DEVRUBY LLC works remotely with U.S. businesses.
Signs this may be the right next step
- Staff read invoices, forms, or emails just to retype the same fields into another system.
- Requests arrive by email in different formats and someone has to sort and route each one.
- A previous AI pilot produced impressive demos but no reliable process anyone uses daily.
What the work can include
- Selection of the workflow steps where AI is useful and the ones that should stay rule-based.
- Extraction, classification, or summarization connected to your current tools through APIs.
- Confidence checks, human review queues, and logs for every automated decision.
- An evaluation set built from your own examples to measure accuracy before and after launch.
Project fit
Who this is for
Best for teams handling a steady volume of documents, emails, or requests where the information is predictable but the format is not.
The discovery call is used to understand the context, identify missing information, and decide whether there is a sensible first scope.
Read our guide: AI automation for small businesses: what to automate first
Frequently asked questions
Will AI make decisions without human approval?
Only where you decide the risk is acceptable. Approvals, payments, and anything customer-facing can stay behind a review step, with the model preparing the work instead of finalizing it.
What happens to our data?
We agree on the data flow before building: which provider processes it, under what terms, and what is stored. Sensitive fields can be masked or kept out of the model entirely.
How is this different from your workflow automation service?
Workflow automation connects systems with fixed rules. AI workflow automation adds a model for the steps that require reading or interpreting unstructured content, and usually builds on the same integrations.
Want to evaluate the situation with context?
Tell us about the workflow, systems involved, and outcome you need. We will use the call to determine a practical next step.
Tell us about your project