AI RPA (Robotic Process Automation)

RPA with AI for legacy software, browser-only portals, and desktop applications your team still has to click through manually. We combine reliable robotic execution with AI checks for data, documents, and exceptions.

How we build AI RPA

UiPathPower AutomatePower AppsPower BIAutomation AnywhereBlue PrismMicrosoft 365Azure CloudAWSGCP CloudOpenAIOCR / Document AIBrowser automationDesktop automationCredential vaultsException handlingSchedulingMonitoring

AI RPA combines enterprise robotic process automation with AI validation, document understanding, and exception handling. We automate repetitive work across legacy portals, desktop apps, browser-only systems, spreadsheets, and Microsoft ecosystems while adding monitoring, secure credentials, retries, and audit logs for production use.

Typical use caseA legacy insurance portal with no API gets an AI-assisted bot that logs in, reads status changes, validates the output, and writes clean updates into your CRM every morning.

What's included

Click-path mapping for legacy, browser, or desktop systems with AI validation points
Credential, scheduling, and environment setup
AI-assisted bot build with retry, screenshot logging, and exception detection
Exception alerts when screens or data change
Runbook for support and maintenance

Workflow

How the engagement runs

Every build starts with process clarity, then moves through a focused MVP, controlled pilot, and documented handover.

Map the manual clicks

We record the screens, fields, downloads, timing, and AI validation points your team needs handled reliably.

Stabilize the path

We choose selectors, retries, credentials, run schedules, and AI checkpoints that reduce breakage.

Build the bot

We automate login, navigation, data entry, downloads, uploads, status logging, and exception detection.

Monitor and maintain

We launch with alerts, screenshots, AI-readable logs, and runbooks so screen or data changes are caught quickly.

Results and timeline

What you should expect

The goal is a working system your team can trust, with measurable time savings and a clear path for support.

2-4 weeks

Turnaround

Typical turnaround for one stable legacy process.

Scheduled execution

Expected improvement

Bots run at defined times without waiting for a person to start the work.

Audit trail

Operational control

Each run records status, errors, screenshots, and next actions.

Turnaround note: timelines depend on tool access, sample data quality, approval speed, and how many systems need to be connected. We confirm the fixed scope after the audit.