What

CopyCat is an agentic RPA product for back-office operations. It automates repetitive workflows such as entering data into web portals, syncing data across systems, and processing information from emails and documents, so teams spend less time on manual administrative work.

The product appears aimed at operations-heavy teams, especially in insurance and logistics, where staff work across carrier portals, management systems, CRMs, emails, and legacy tools. Its positioning is closer to a workflow-specific automation service than a generic software tool: CopyCat says it scopes, builds, and deploys custom AI agents for each workflow, with deployment either on its managed infrastructure or in the customer’s environment.

Features

Document reading and data extraction: Pulls structured data from PDFs, emails, spreadsheets, and scanned documents to reduce manual intake and rekeying.
Portal and legacy system interaction: Logs into web portals, navigates interfaces, fills forms, and submits data, which is useful where APIs are unavailable.
System-to-system data syncing: Moves and updates information between management systems, CRMs, carrier portals, and internal databases to keep records aligned.
Workflow triggering from existing tools: Starts automations from email, management systems, or other current tools, which can reduce process change for operations teams.
Custom agents for specific workflows: CopyCat states it builds purpose-fit agents for each customer workflow rather than offering only generic bots or templates.
Auditability and deployment options: Provides audit trails and monitoring, and can run either on CopyCat-managed infrastructure or within a customer environment for greater operational control.

Helpful Tips

Validate adaptability in real workflows: Since CopyCat emphasizes handling changing UIs better than traditional RPA, buyers should test it against unstable portals and edge-case process variations.
Start with one high-volume process: A workflow like submission intake, claims intake, or multi-portal data entry is usually the clearest way to assess automation value and operational fit.
Map exception handling early: Document-heavy back-office work often contains ambiguous inputs, missing fields, or nonstandard formats, so review how human review and escalation are managed.
Check infrastructure and governance needs: If deployment location, access control, or auditability matter, compare managed deployment versus running in your own environment.
Treat speed claims conservatively until scoped: The site states deployment can happen quickly, but actual implementation effort will likely depend on workflow complexity, source system variability, and review requirements.