Simplileap

// Automate

Robotic process automation for back-office scale

Data entry, legacy system interaction, document processing, and rule-based task automation. We design RPA solutions that handle exceptions reliably, maintain audit trails for compliance, and measure ROI against the baseline they replaced.

// Standards

RPA engineering standards

Exception handling first

Every RPA bot is designed around its exception paths, not just the happy path. Ambiguous cases route to human review with full context — not silently fail.

Audit trail built in

Complete log of every action taken by every bot execution — inputs consumed, decisions made, outputs produced — for compliance and debugging.

Process stability assessment

We assess process stability before automating. Automating an unstable process creates maintenance overhead that costs more than the automation saves.

No credential hard-coding

Credentials accessed through secure vaults (CyberArk, HashiCorp Vault, or platform secrets stores) — never stored in bot scripts or configuration files.

ROI measurement

Baseline manual cycle time measured before automation. Post-deployment tracking confirms ROI — time saved, error rate reduction, and cost per transaction.

Maintainable bots

UI-driven bots break when applications change. We design bots for resilience, document selectors, and maintain regression test suites to catch breakage before it reaches production.

// Technology

RPA technology stack

RPA Platforms

UiPathAutomation AnywhereBlue PrismMicrosoft Power Automate DesktopRobocorpTagUI

Python Automation

SeleniumPlaywrightPyAutoGUIpywin32pandasopenpyxl

Document Processing

AWS TextractGoogle Document AIAzure Form RecognizerTesseract OCRcamelotpdfplumber

Orchestration

UiPath OrchestratorRobocorp Control RoomPrefectTemporaln8nApache Airflow

Data Processing

pandaspolarsdbtSQLAlchemyPySparkDuckDB

Monitoring

DatadogSentryGrafanaPagerDutycustom dashboardsPrometheus

// Process

From process discovery to measured ROI

01

Process Discovery

2–4 days

Shadow and document the manual process step by step — every decision point, exception, input, and output. Calculate time-per-cycle and annual cost of current manual execution.

// FAQ

Common questions about RPA

What is RPA and when does it make sense?+

RPA uses software robots to mimic human interactions with applications — clicking, typing, copying data. It makes sense for high-volume, rule-based, repetitive tasks performed by humans across applications that have no API. When APIs exist, we prefer API-based automation for reliability.

Can you automate a process that uses a legacy desktop application?+

Yes — UI automation via UiPath, Playwright, or PyAutoGUI can interact with any GUI application. Legacy desktop apps, thick clients, and even mainframe terminal emulators can be automated through screen interaction.

How do you handle exceptions in RPA bots?+

Every bot has defined exception categories: business exceptions (data outside expected range) and application exceptions (system errors, timeouts). Business exceptions route to human review queues with the problematic data attached. Application exceptions trigger retry logic and then alerts.

What is the ROI of RPA and how do you measure it?+

We baseline the current cost: cycle time × hourly rate × annual volume. Bot cost includes development, licensing, and maintenance. Most engagements break even in 6–18 months. We measure error rate reduction separately — compliance value often exceeds time savings.

Can RPA bots run 24/7?+

Yes — unattended bots (no human supervision required) can run on schedules or triggered by events at any time. Attended bots run alongside a human user for tasks requiring real-time human input. Most back-office automation uses unattended deployment.

Ready to automate your manual processes?