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Use Cases
Automation recipes filed under Use Cases.
Use Cases
AI Agents and RPA: Use the Hybrid Stack or Get Stuck With Brittle Bots
TriggerA recurring business event, such as an incoming document, form submission, ticket, or scheduled data refresh, that requires a multi-step response across two or more systems.
ActionThe agent interprets the request and decides the next step, while the RPA layer performs the deterministic clicks, keystrokes, file moves, and record updates in the target systems.
Most automation programs hit the same wall.
Use Cases
Agentic Automation Is Real, but RPA Still Does the Heavy Lifting
TriggerA recurring business event such as an invoice arriving, a form being submitted, a ticket being created, or a scheduled reporting cycle beginning.
ActionRetrieve the relevant data, validate it against business rules, apply decisions or transformations, update the target system of record, and notify the responsible person when the outcome needs confirmation.
Agentic automation has moved from conference slide to production reality, but the story is not a replacement narrative.
Use Cases
RPA vs. Agentic AI: Why You Need Both, Not One
TriggerA recurring business process event, such as a new invoice, order, ticket, or data record arriving in a system of record.
ActionRoute and execute the task: deterministic steps run through rule-based automation while ambiguous or judgment-heavy steps are handled by an AI agent that plans, calls tools, and produces a recommended outcome.
Robotic process automation and agentic AI are often framed as competing approaches, as if a team must pick one and abandon the other.
Use Cases
Don't Ditch Your RPA Bots for AI Agents—Here's the Smarter Play
TriggerA recurring, rules-based business process (for example, invoice intake, order entry, or employee onboarding) reaches a queue, inbox, or scheduled interval and requires data to move between systems.
ActionAn existing RPA bot performs the deterministic, high-volume steps (data extraction, validation, system-to-system entry, record creation) while an AI agent handles the ambiguous, judgment-adjacent steps (unstructured document interpretation, exception triage, natural-language correspondence) and escalates uncertain cases to a human.
The arrival of agentic AI has produced a familiar pattern in automation programs: teams that spent years building and stabilizing robotic process automation suddenly feel pressure to replace it.
Use Cases
Stop Replacing RPA with AI Agents—Hybrid Is the Only Winning Play
TriggerA recurring business process that already has a working RPA bot but now includes steps requiring judgment, unstructured input, or conversational interaction.
ActionRoute deterministic steps to the existing RPA bot and hand off ambiguous or unstructured steps to an AI agent, then reconcile both outputs into one completed transaction.
Teams that already run robotic process automation are under pressure to rip it out and replace it with AI agents.