RPA (Robotic Process Automation) has the power to increase operational efficiency, provide fast and personalized customer experiences, and re-allocate human resources towards high-impact activities.

But without clean, high-quality structured data, companies can only leverage automation in a limited capacity.

Unstructured data presents a challenge in implementing and scaling RPA. The content contained within these documents (emails, scanned files, images) needs to be extracted before it can be read and ingested by RPA systems to execute a task. Before investing in RPA, it’s essential to convert unstructured data into high-quality structured content that fuels process automation.

Conquer the Unstructured Data Challenge

Adlib maximizes the value of RPA by transforming semi-structured or unstructured documents into clean, high-quality, structured data that can be then processed by robots – making them smarter and extending end-to-end process automation.

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What Makes Adlib Different?

By transforming unstructured data into high-quality digital assets, Adlib assists enterprises in delivering maximum value from RPA.

Improve access

Remove content barriers for RPA by identifying and unlocking unstructured data from across your file shares.

Enrich content

Convert unstructured data into high-quality, standardized assets that are text searchable and primed to fuel automation.

Scale continuously

Adlib’s flexible platform is built upon configurable workflows that can be integrated and extended to adapt to your growing datasets.

Achieve Intelligent Automation Fueled by Better Data

With better data, enterprises can accelerate RPA to enhance their operational efficiency:

Automate manual document processing

Empower RPA with text analytics to automate form-ingesting process for invoices, claims or other documents by tagging and classifying their content, and further determining next steps or outcomes in the business process.

Onboard customers faster

Improve processing times, reduce errors and enhance the customer’s experience by utilizing RPA to identify and classify documents for customer onboarding.

Improve staffing and recruiting processes

Reduce manual workloads by putting RPA to use in finding candidates and processing staffing documents with reduced human effort and intervention.

Automate audit activity

Utilize strict naming conventions to categorize financial reporting files so that RPA systems can independently organize them and extract key data for NLP, annotation, consistency checks and data cross-footing.

Additional RPA Resources
Data: The Secret to Robotic Process Automation (Article)

Robotic Process Automation presents an unprecedented advantage when it comes to business process automation. The only trouble is that RPA requires clean and organized, high-quality data in order to work best.

How to Overcome Enterprise RPA Challenges (Article)

Robotic Process Automation gives enterprises an innovative opportunity to increase their overall operational efficiency, reduce costs and limit manual labor but not without clean, accessible, high-quality data to fuel their RPA systems.

Adlib Elevate helps you win with better data (Webpage)

Learn how Adlib ElevateTM allows enterprises to discover, cleanse and enrich data from multiple sources, faster in support of creating an end-to-end digital strategy where unstructured data fuels process automation.