Process Automation Agents
Traditional RPA breaks when a UI changes or an email isn't formatted perfectly. We build Cognitive Automation Agents that combine the action-taking capabilities of RPA with the visual and linguistic reasoning of LLMs to automate messy, unstructured back-office processes.
Core Features
Visual GUI Interaction
Agents equipped with Vision models (GPT-4o) that can literally 'see' legacy software screens and click elements, bypassing the need for APIs.
Unstructured Parsing
The ability to read messy, inconsistently formatted emails, invoices, and PDFs, extract the required fields, and input them into your ERP.
Resilient Automation
Unlike rigid RPA bots, agentic automation can reason through exceptions. If a button moves, the agent visually finds it and proceeds.
Human Handoff
When an agent encounters a completely novel edge case, it pauses the workflow and flags a human operator for a decision.
Our Process
Workflow Mining & Feasibility
Week 1-2Identifying high-volume, highly-manual back office processes (e.g., invoice processing, claims handling) that are ripe for cognitive automation.
Tool & Integration Setup
Week 3-4Building the bridges the agent will use to act—whether that's via REST APIs, database connections, or headless browser automation.
Cognitive Logic Engineering
Week 4-6Prompting the LLM to understand the unstructured inputs (emails, docs) and deciding which tools to call to execute the process.
Exception Handling Architecture
Week 7Building the safety nets. If the agent's confidence score drops below 90%, it routes the task to a human-in-the-loop dashboard.
Deployment & Scaling
Week 8Deploying the agents in parallel workers to churn through backlog queues exponentially faster than human teams.
Technologies We Use
FAQ
How is this different from tools like UiPath or Automation Anywhere?
What if the agent makes a mistake on a critical financial transaction?
Can this work with our 20-year-old AS400 terminal software?
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