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One of the biggest challenges behind large-scale digital transformations is the lack of detailed knowledge on current state operations and processes.

To overcome that obstacle, organizations are increasingly turning to process discovery tools to identify and document their current processes, regardless of the output they have in mind, whether it be process improvement, re-engineering, re-training, outsourcing, or automation.

One of the biggest decisions companies and digital transformation leaders alike must make is choosing between machine-based discovery tools like process mining and task mining solutions, and human-driven solutions like task capture tools.

The following article outlines the differences between machine-based process discovery tools and human-driven task capture solutions, highlighting which might be best for you according to your needs.

Machine-Based Process Discovery Tools

Machine-based process discovery tools can be divided into two categories: process mining tools and task mining tools. In both cases, these tools use artificial intelligence (AI) to discover processes and tasks.

Process mining tools are very technical and search through event logs to uncover and document your organization’s processes. The main use cases for process mining tools include process improvement, legacy modernization, business process outsourcing, etc.

Task mining tools are similar to process mining technology because they also use AI; however, they don’t mine through event logs or uncover processes. Task mining tools discover tasks and sit at the desktop level, recording the interactions a user performs (like mouse clicks and keyboard inputs) taking screenshots for every interaction.

They use artificial intelligence like computer vision to infer what the user is doing and document that task. Common use cases for task mining include improving task execution by removing waste, identifying automation candidates for RPA, re-training, re-engineering, and outsourcing.

While both process and task mining solutions are very capable of collecting a lot of data, that’s also their biggest weakness and consequential pain-point; they collect too much data and introduce too much noise. They cast a wide net and identify variations for how each process or task is executed. They then use machine intelligence to merge all that back together. Someone then must go in and scrub that mountain of data to find an accurate and precise picture of what’s actually happening.

In many cases, without the proper resources—like data scientists who might make sense of all that data or a solid support and implementation structure—process and task mining create a whole new set of obstacles instead of addressing the challenges they were brought in to solve. Additionally, in the case of task mining tools, several privacy concerns are introduced as the software essentially watches and records what users are doing on their workstations. Cost is another sticking point with both process and task mining tools—the simple truth is that they’re very expensive.

For that reason, many organizations are turning to more accessible and functional human-driven task capture tools that deliver better results.

Human-Driven Task Capture Solutions

Human-driven task capture solutions are similar to task mining tools because they both discover and document tasks.

Where they differ is that human-driven task capture solutions don’t rely on machine-based technology that drops agents on a computer and produces an overwhelming amount of data.

Instead, an employee must manually trigger task capture tools when they execute and want to record a task. The task capture solution records every mouse-click, hotkey, and keyboard interaction, taking screenshots at every step, and maps that into a process editor where it can be further modified and optimized.

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The value that human-driven task capture tools deliver is that they collect the details of each task that is needed to drive the key outputs central to any digital transformation: automation, re-engineering, outsourcing, or simply improved task executions that enhance quality and reduces costs.

Organizations are quickly realizing that their subject matter experts (SME) and process owners already know how their business works. They possess all the process knowledge and can easily define and model them. What they need most are the low-level details of each sub-task to that process, collected in a way that isn’t intrusive and doesn’t produce too much data, facilitating the outputs that fuel digital transformations.

Luckily there’s a range of cost-effective task capture tools readily available, and one that stands out above the rest, is Blueprint.

Blueprint Task Capture

Blueprint Task Capture is the latest addition to the award-winning Blueprint Enterprise Automation Suite. It’s a human-driven task capture solution that helps you accelerate business process documentation and deep-dive into automation ideas, enabling you to quickly capture, prioritize, enhance, and accelerate the automation process.

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It enables the countless Citizen Designers you already have working in your organization because it bridges the gap between SMEs and your RPA CoE to accelerate your automation pipeline. Your process owners and SMEs provide the high-level process, and the light-weight, non-invasive Blueprint Task Capture collects all the low-level details that will accelerate any output you have in mind.

When your Citizen Designers capture tasks with Blueprint Task Capture – and there’s no limit to the number of tasks they can capture, making it one of the most cost-effective solutions available – our solution will even tell you how much of that task is immediately compatible with and can be automated in any RPA platform you use, due to Blueprint’s bi-directional integrations with the leading providers.

Download the Blueprint Task Capture datasheet to see how Blueprint’s latest offering delivers quick and easy task capture that powers automation at scale.

Blueprint Task Capture Datasheet

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