It’s 2022, and the demand for automated process discovery does not seem to slow down. Growing at a CAGR of 50.1% from 2021 to 2028, the market size is projected to reach more than USD 7.95 billion by 2028. Wide adoption of AI-enabled technologies and automation, rise in cloud-based technologies, and accelerated digital transformation are a few factors influencing the market’s rapid growth.
Whether you’re starting your process discovery journey now or looking to scale the process, this quick guide will give you an overview of how you can successfully implement and scale process discovery efforts in your organization.
How does automated process discovery work?
Traditionally, process discovery followed a manual approach where consultants would spend several hours shadowing employees to understand how tasks were executed. But in today’s remote and hybrid work environment, manual discovery is highly inefficient.
Automated process discovery tools like SurfaceAI can be easily deployed across users’ machines to automatically track keystrokes, mouse clicks, and screen navigations to create process flow diagrams. The pictorial representation of every step of the process enables business leaders to identify bottlenecks, process improvement opportunities, and the best automation candidates.
Here are the steps involved in process discovery:
- Process monitoring and tracking: Get full visibility into end-to-end workflows across multiple users, processes, business functions, and applications your teams use.
- Process visualization: After discovering task workflows, our solution automatically presents the process maps that help business analysts, executives, partners, and subject matter experts identify bottlenecks and potential inefficiencies.
- Analyze and enrich data: Get complete insights into key people-process-technology data points and add custom notes to enhance the captured data.
- Automated process documentation: Automatically generate detailed documentation for training and compliance purposes. Leverage the captured metadata to “automate the automation.”
Scale with Continuous Discovery
Organizations need to practice continuous discovery where processes are discovered and analyzed more frequently to catch variations and deviations to reap the actual benefits of process discovery. Businesses can easily visualize their “AS-IS” processes and leverage the insights to create “TO BE” processes.
Automated process discovery with advanced capabilities in SurfaceAI provides enterprises with insights that enable continuous improvement. Using computer vision algorithms, our AI-driven solution generates process maps in real-time. The objective discovery eliminates human bias and errors. SurfaceAI tracks every activity of your team members – across processes and technologies – ensuring full visibility.
Experience powerful AI features in SurfaceAI
SurfaceAI looks to revolutionize process discovery with the automated, data-driven AI solution which finds, maps, and documents existing business processes end-to-end in near real-time. The detailed documentation and process maps are analyzed to recommend process improvements and change programs.
As organizations continue to consolidate their digital transformation strategy, process discovery will take the front seat. So, it would be best if you choose a vendor who will support your organization’s unique needs. SurfaceAI is a trusted partner by several enterprises across industries. Talk to our experts today to learn how SurfaceAI can fuel your organization’s process discovery initiatives.