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Skan AI Maximizes Your
Automation Investments

See exactly where RPA and AI automation will have the highest impact on productivity and cost before you deploy

 Most Automation Projects Fail Before They Start

Performance

Wrong Targets

Broken Process

Broken Processes

ROI

No ROI

Process Intelligence for Automation Discovery

Process Intelligence for
Automation Discovery

By using Skan AI's Process Intelligence platform to establish a comprehensive current-state understanding through data and models, you can better understand the potential of your automation investments. Skan AI's automation discovery tool helps with:

  • Establishing measurable KPIs pre and post-automation for validation
  • Data-driven root cause analysis
  • Automatic pattern detection
Discover RPA and Gen AI automation opportunities

Discover RPA and Gen AI
Automation Opportunities

Implementing automation based on guesswork, human interviews, or manual discovery is error-prone and susceptible to mistakes or misinterpretations. This often results in failed implementations, automation workflows with errors, extensive bot rework, and missed automation targets. 

 See Skan AI's Automation Explorer in Action

Automating Employee Onboarding 

One of our clients using Skan AI's productivity insights identified that their employee onboarding process is highly
suited for robotic process automation (RPA) due to its lower cost and ease of implementation.

25%

Reduction in
turnaround time

$12M

Annual cost savings

30%

Reduction in
processing time

 How Skan AI Finds Automation That Works

Step 1. Observe Everything

Watch how work really happens across every application. No integrations needed. See tasks other tools miss.

  • Zero-integration deployment - Start observing in days, not months. No API connections or system changes required.

  • Complete application coverage - Capture work in mainframes, VDI, web apps, and desktop tools that other platforms can't see.

  • Real user behavior - See actual clicks, switches, and wait times instead of guessing from system logs.

Step 1. Observe Everything

Step 2: Score Opportunities

AI analyzes which tasks save the most time and cost. Get separate scores for RPA and cognitive automation.

  • Outcome-based ranking - Score tasks by business impact, not just how often they happen. Focus on what saves the most money.

  • Smart automation matching - Get separate scores for RPA vs. AI automation so you pick the right tool for each job.

  • Process variant analysis - Identify which process paths work best before you automate the wrong version.

Step 2_ Score Opportunities

Step 3. Measure Impact

Measure actual time saved on each automated task. Show real ROI with hard data. 

  • Cost impact tracking - Show precise dollar savings and productivity gains to justify your automation investments.

  • Complete application coverage - Capture work in mainframes, VDI, web apps, and desktop tools that other platforms can't see.

  • Continuous monitoring - Keep measuring results over time to ensure your automation keeps delivering value.

Step 3. Measure Impact
How Skan AI Works
01

Observe

We observe every application and process activity directly from agent desktops.

02

Analyze

We create a digital twin of operations using our proprietary AI to stitch together activities.

03

Identify

We identify patterns in your process and your best performers.

04

Optimize

You get insights and guidance for optimizations that can save millions.

How Does Skan AI Compare to Alternatives

Leaders have choices these days. Here's a snapshot of how Skan AI's process intelligence compares to alternatives.
  • Process Mining

  • Manual Studies

  • Task Mining

Skan White Logo

Process Mining

Manual Studies

Task Mining

Observes ALL apps
No integration
Scales to thousands of agents
Finds app switching patterns
Compares top vs. average performers

 Real Results

 When you automate high value tasks backed by real usage data, the ROI adds up fast.

37%

Faster Processing Times

20%

Fewer Manual Errors

26%

Increase in Productivity

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