Robotic Process Automation Software
Deploy software bots that handle the rule-based work no integration ever covered — logging into legacy systems, reconciling spreadsheets, updating portals, and moving data between applications. Every bot is versioned, credential-vaulted, scheduled, and monitored from a single console.
Features
Powerful Capabilities, Built for Scale
Every tool you need to run a world-class operation, from day one to enterprise scale.
Attended and Unattended Bots
Unattended bots run on a schedule against back-office queues, while attended bots sit beside an employee and take over the repetitive portion of a task on demand. Both are built from the same components, so a routine can be promoted from desktop assistance to fully autonomous execution.
Interface and API Automation
Bots drive applications through the user interface when no integration exists, and switch to a direct API or database call whenever one is available. Choosing the cheaper path automatically keeps runs faster and far less fragile than pure screen automation.
Recorder-Based Authoring
Walk through a task once and the recorder captures each interaction as an editable step you can parameterize and reorder. Analysts refine the sequence in a visual editor rather than writing automation scripts from scratch.
Central Orchestrator
One console assigns bots to machines, allocates licenses, and shows the live status of every running job across the estate. Priorities can be changed mid-run so an urgent month-end job is not stuck behind routine overnight work.
Credential Vault
Bot logins are stored in an encrypted vault and injected at runtime, so no password is ever written into an automation script. Each bot identity is scoped to the minimum permissions its task requires and rotated on your normal credential schedule.
Resilient Selectors and Recovery
Elements are matched on multiple attributes so a cosmetic interface change does not break a running bot. When a step genuinely fails, the bot retries, captures a screenshot with the error state, and hands the item to a human queue rather than corrupting data.
Scheduling and Work Queues
Jobs run on cron-style schedules, on a system event, or against a shared work queue that several bots can drain in parallel. Items carry retry limits and deadlines so nothing sits unprocessed past its service level.
Utilization and ROI Reporting
Track transactions completed, minutes saved, exception rates, and idle capacity for every bot in the fleet. Finance can tie licensing spend to measured hours returned rather than to an estimate made at business-case stage.
How It Works
Up and Running in Three Simple Steps
Qualify the Task
Identify high-volume, rule-based tasks with stable inputs and no available integration, then confirm the volume and handling time that justify a bot.
Record and Harden
Capture the task, parameterize its inputs, add error handling and retry logic, and test against production-like data until exception paths behave predictably.
Deploy and Supervise
Publish the bot to the orchestrator, schedule it against a live queue, and monitor throughput and failure rates from the central console.
A closer look at Workisy robotic process automation
Automation for the systems that were never meant to connect
Every established organization runs at least one application that cannot be integrated. It may be a supplier portal with no API, a licensing system the vendor has stopped extending, or a green-screen terminal that still holds a decade of history. The work around those systems is invariably manual: someone logs in each morning, exports a report, reformats it, and keys the result into a second platform.
Software bots take that work over exactly as it is performed today, without asking a vendor for an integration or waiting for a replacement platform. Because the bot operates at the interface layer, the underlying application is untouched — which is why RPA is often the fastest route to value while a longer-term business process automation program is still being built.
Deterministic bots paired with AI for the judgment steps
A bot is precise but literal. It will reconcile ten thousand rows without a single slip and then stop entirely when an email arrives with the reference number written in a sentence instead of a field. The productive pattern is to give the interpretation work to AI and the execution work to the bot: intelligent document processing converts the incoming file into structured fields, and the bot posts those fields into the systems that need them.
Sequencing the two is handled by the orchestration layer, so a single business process can move between AI judgment, bot execution, and human approval without anyone stitching the pieces together manually. Teams often begin with the reconciliation patterns described in our guide to banking reconciliation automation.
A managed fleet rather than scattered desktop scripts
The common failure mode in RPA is not technical — it is governance. Bots get built on individual laptops, credentials end up hard-coded, and nobody can say how many automations exist or what happens if one stops. Workisy treats the fleet as production infrastructure: bots are versioned, deployed through environments, run under vaulted service identities, and monitored centrally with alerting on failure.
That discipline is what makes bots safe in regulated functions. Payroll runs in payroll and period-end reporting in financial analytics depend on repeatability and evidence, both of which the orchestrator produces by default. To assess which of your tasks would qualify, speak with our automation team.
Results That Speak for Themselves
Measurable Impact on Your Business
Manual Hours Returned
Unattended Running
Copy-Paste Mistakes
FAQ
Frequently Asked Questions
Ready to See It in Action?
Book a personalized demo and discover how Workisy can transform your operations in weeks, not months.