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Skan Raises $14 million Series A: Press Release | Founders’ Note

Automated Process Discovery

Computer Vision to identify process steps at the UI/Screen layer

ML-Powered Process Insights

Advanced ML to build accurate and detailed process maps

Actionable Recommendations

Data-driven recommendations for meaningful and measurable action

Privacy First Architecture

Industry leading privacy and security

No Interruption, No required Integrations

No disruption to employees or work

Accelerate automation and digital transformation with data

Utilizing the latest in computer vision and deep learning, Skan helps customers truly understand their processes so they can plan digital transformation and automation efforts, drive continuous organization-wide process improvement,  build strategic employee training initiatives, and more.

Platform Overview

How Works-1

Go beyond expensive consulting projects...

 

Process consultants and time and motion studies are expensive, time consuming, and disruptive to employees and work.

Worse, they only deliver high level, anecdotal insights which don't account for the true reality of how work is done.

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... and outdated process mining techniques.

Process mining requires significant technical set up, and relies on back-end process logs which deliver an incomplete picture and often miss critical steps in a process.

The result? Misguided transformation efforts and failed automation implementations.

With Skan you can uncover a data-driven, end-to-end view of your processes

 

Get data-driven process insights based on facts, not anecdotal interviews or incomplete back-end process logs.  Receive actionable process insights in weeks with zero interrupt to employees and work. Accelerate your RPA implementation, start redesigning processes, build focused training and onboarding, and more using a data-driven approach to deliver measurable ROI.

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Learn how Skan can help you understand the true telemetry of work in your organization.

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Please contact our sales team to learn more and view a demo.

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