G1ANT RPA

Open G1ANT and build your first robot the way you work: record clicks and keystrokes as you navigate a website or a desktop app, then refine the flow in the visual editor. When you need logic, switch to script, add variables, loops, and conditions, and plug in exception rules so the bot can self-correct known errors without pausing. Use role-based access to share projects with teammates, keep sensitive credentials locked down, and invite reviewers to comment directly on tasks. If you’re new, start from templates and tweak; if you’re advanced, layer in custom commands and triggers to shape the platform around your stack.

For document-heavy work, wire up OCR and NLP in minutes. Point the bot at scanned invoices, pull text with Google OCR, classify fields with IBM Watson, and write structured results into Excel or Google Sheets. Add data checks, enrich with lookups, and route outliers to an attended step for human approval. Save time by scheduling unattended runs overnight, then send a summary to a Google Doc or a PowerPoint status deck in the morning. Use built-in debugging to step through extraction rules, view variables live, and export logs when you’re tightening accuracy.

Web and legacy app flows are just as direct. Record navigation with Internet Explorer or drive modern browsers through Selenium, scrape product data, and push it to your database. Trigger the robot on a schedule or when a new file arrives in a folder. Queue workloads by priority so critical items process first, and let exception handling retry transient issues automatically. Combine Java integrations for internal systems, capture screenshots on failure, and keep the run fully unattended when the workflow is stable—or switch to attended mode to assist front-line agents during peak hours.

When you’re ready to scale, deploy through the Enterprise Orchestrator. Publish packages, assign robots to environments, map queues, and roll out updates without touching individual machines. Set calendars, time zones, and blackout windows, then monitor throughput, success rates, and bottlenecks with bot performance analytics. If a server fails, use disaster recovery to bring robots back quickly. As your library grows, standardize commands, version your scripts, and expose reusable building blocks for other teams. In short: design quickly, harden with testing and exception rules, push to Orchestrator, and let scheduling, workload management, and access control keep operations smooth at scale.