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AI Tools
Automation recipes filed under AI Tools.
AI Tools
Don't Feed Your AI Agent the ERP—Let RPA Do the Typing
TriggerA new or updated record appears in a core business system (for example, an approved invoice, a new sales order, a completed form submission, or a status change on a case), or a scheduled time window arrives for a recurring batch job.
ActionA software robot reads the record or document, validates and normalizes the data, then performs the repetitive keystroke-level steps in the destination system, such as entering fields, selecting dropdown values, attaching files, and submitting the transaction, while the AI agent decides what should happen next.
Agentic AI is good at judgment and bad at typing.
AI Tools
Let Your AI Agent Think, But Let RPA Do the Typing — Here's Why
TriggerA new request, document, message, or record arrives that requires reasoning, classification, or a decision before any downstream data entry can occur.
ActionAn AI agent interprets unstructured input and produces a structured decision or set of values, which an RPA bot then uses to perform deterministic keystrokes, form fills, record updates, or file movements in target systems.
Most automation conversations collapse two very different jobs into one.
AI Tools
RPA vs. AI Agents: Why You Need Both, Not a Winner
TriggerA recurring business process that mixes deterministic, rule-based steps with unstructured inputs such as documents, emails, or free-text requests
ActionRoute the deterministic steps to a rules-based automation layer and the judgment-dependent steps to an AI agent, then reconcile both outputs into a single reviewed result
The debate over robotic process automation versus AI agents is usually framed as a contest, with one technology destined to replace the other.
AI Tools
Don't Ditch Your RPA Yet: Why Agents Need Bots
TriggerA recurring business event such as an invoice arriving, a form submission, a ticket update, or a scheduled data refresh that requires work across more than one system.
ActionAn agent interprets the request, decides the next step, and calls a deterministic bot to perform the actual keystrokes, clicks, file transfers, or record updates in the target application.
The arrival of capable language-model agents has led many teams to ask whether their existing robotic process automation estate is now obsolete.
AI Tools
RPA Isn't Dead—It's the Muscle Under Agentic AI
TriggerA recurring business event such as an incoming invoice, a new customer record, an order confirmation, or a scheduled data refresh that must be processed through several systems.
ActionAn agentic AI layer interprets the event, decides the next step, and calls a deterministic RPA bot to perform the actual keystrokes, form fills, file moves, and system-to-system data entry.
For years, the story around robotic process automation followed a predictable arc.
AI Tools
RPA Isn't Dead—It's the Agent's Hands. Here's How to Buy the Right Stack
TriggerA recurring, rules-based business task (such as invoice intake, data entry, report assembly, or record updates) is identified as a candidate for automation, prompting an evaluation of whether to combine an agentic AI layer with robotic process automation.
ActionThe agent interprets unstructured or semi-structured input, decides the next step, and then invokes RPA scripts or bots to perform the deterministic clicks, keystrokes, file moves, and system writes across the target applications.
Robotic process automation earned its reputation by doing one thing well: executing deterministic, rules-based steps against user interfaces and systems.