Robotic Process Automation

Bots That Don't Just Click.
They Understand.

Traditional RPA breaks when a screen changes or a form adds a field. Our AI-enhanced bots understand context, handle exceptions, and adapt to variations β€” making them reliable enough for the processes that actually matter in financial operations.

97%

Data Migration

93%

Report Generation

89%

Account Reconciliation

91%

Email Processing

85% Task Automation Rate
12Γ— Faster Than Manual Processing
99.1% Accuracy on Structured Tasks
Use Cases

Where RPA Delivers Immediately

High-volume, rule-based tasks that drain your best people's time.

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Email & Document Processing

Bots read emails, extract attachments, classify documents, pull data, and route to the right system β€” all before anyone opens their inbox.

Banking
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System-to-System Data Entry

When two systems don't talk to each other, a bot copies data between them faster and more accurately than any human.

Insurance
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Report Compilation

Pull data from 5 different sources, format it, run calculations, and generate the report β€” every morning at 6 AM.

Asset Management
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Compliance Verification

Cross-reference client data against sanctions lists, PEP databases, and regulatory watchlists in batch or real-time.

Financial Services
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Account Opening & Maintenance

Process new account applications end-to-end: validate IDs, check duplicates, create accounts, and send confirmations.

Banking
Core Capabilities

Cognitive RPA, Not Just Macros

What separates our bots from simple screen recorders.

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AI-Powered Document Reading

OCR plus NLP means bots read and understand documents β€” not just extract text from fixed positions.

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Exception Handling Logic

When something unexpected happens, bots don't crash β€” they classify the exception and route it appropriately.

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Self-Healing Selectors

UI changed? Our bots use multiple identification strategies so a minor screen update doesn't break the whole process.

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Attended & Unattended Modes

Some bots run 24/7 autonomously. Others assist employees in real-time during complex tasks. We support both.

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Process Mining Integration

Before building bots, we mine your system logs to discover the real process β€” including the workarounds nobody documented.

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Credential Vault

Bot credentials are stored in an encrypted vault with role-based access β€” no passwords in scripts or config files.

How It Works

From Manual to Automated in 5 Steps

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1

Process Discovery

We observe, document, and mine your processes to understand every variation, exception, and edge case.

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2

Bot Design

Design the automation with decision trees, exception paths, and human handoff points for truly unusual cases.

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3

Build & Unit Test

Develop the bot with comprehensive test cases covering happy paths, edge cases, and failure scenarios.

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4

UAT with Your Team

Your operations team validates the bot against real scenarios before it handles live work.

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5

Deploy & Monitor

Launch with real-time dashboards showing bot activity, success rates, and exception volumes.

Every hour your team spends on data entry is an hour lost to strategy.

Let the bots handle the repetition. Free your people for work that requires a brain.

Book Free Consultation
Operational Impact

Bots Work. People Think.

RPA delivers the fastest ROI of any automation technology β€” especially in transaction-heavy financial operations.

85%
Tasks Fully Automated
12Γ—
Processing Speed Increase
$380K
Annual Savings per Process
6 Weeks
Average Deployment Time
Key Benefits

Why Financial Services Loves RPA

High transaction volumes, strict accuracy requirements, and regulatory pressure make finance the perfect RPA use case.

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Accuracy Under Audit
Bots don't fat-finger numbers, skip steps, or forget to save. Every action is logged and reproducible.
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Scale Instantly
Need 10Γ— capacity for quarter-end? Spin up more bot instances instead of hiring temps.
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Bridge System Gaps
When your core banking system can't talk to your CRM, a bot handles the translation β€” no integration project needed.
Why OpenMalo

Why OpenMalo for RPA

We build bots that survive production β€” not just demos.

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Financial Process Expertise
We've automated reconciliation, KYC, report generation, and settlement processes β€” we know the domain cold.
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AI + RPA Hybrid Approach
We combine traditional RPA with NLP, OCR, and ML where pure rule-based automation falls short.
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Production-Grade Reliability
Our bots are built with error handling, retry logic, and monitoring β€” not fragile scripts that break silently.
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Process Mining First
We discover the real process before building β€” so bots handle actual variations, not just the documented happy path.
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Center of Excellence Setup
We help you build an internal RPA team so you can develop and maintain bots independently after our engagement.
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Continuous Improvement
Post-deployment analytics identify bot failures, new automation candidates, and optimization opportunities.
Get Started

Get an RPA Opportunity Assessment

Tell us about your repetitive processes and we'll quantify the automation potential.

Process complexity and volume analysis
ROI projection for your top 5 automation candidates
Platform recommendation (UiPath, Power Automate, etc.)
Build-vs-buy analysis for your specific needs
No obligation β€” just a clear picture of what's possible
0/2000
Featured Case Study

Case Study

Insurance

Insurer Automates 14,000 Monthly Claims with Cognitive Bots

A mid-size insurance company was processing claims manually β€” reps toggling between 4 applications to validate, calculate, and approve each claim. Backlogs were growing and customer satisfaction was dropping.

78%
Claims Fully Automated
8 min β†’ 45 sec
Average Processing Time
94%
Customer Satisfaction Score
The Challenge

The Problem

Claims adjusters were spending 70% of their time on data entry and system navigation instead of evaluating claims.

14,000+ claims per month processed across 4 disconnected applications
Average 8 minutes per claim β€” 80% was data lookup and entry
Backlog growing 15% month-over-month during peak season
Error rate of 4.2% causing rework and customer complaints

Our Approach: We deployed cognitive bots that read incoming claim documents with AI-powered OCR, extracted relevant data, cross-referenced policy details across all 4 systems, applied business rules for straightforward cases, and routed complex claims to adjusters with pre-populated summaries. Bots handled 78% of claims end-to-end. Adjusters focused on the 22% that genuinely required human judgment. Error rate dropped to 0.3%.

FAQ

Frequently Asked Questions

Macro recorders break when anything changes. Our bots use AI for document understanding, self-healing UI selectors, exception handling, and decision-making. They handle real-world variation, not just scripted happy paths.