Find Where
AI Will Actually Work 

Most enterprises are guessing where to deploy AI agents and automation. Skan observes how work actually happens, then tells you exactly where to invest, what to prioritize, and what it's worth in business value.

 Why Transformation Projects Stall
Problem statements:

Performance

Guessing Where
to Start
 

Broken Process

Automating Broken Processes

ROI

No Way to Measure What Worked

The Question Has Changed

Evolving from automation to intelligent orchestration.

Legacy Paradigm

What should we automate with RPA?

Modern AI Strategy

Where should we deploy AI agents, where should AI assist humans, and where should humans stay in control?

✦ THE SOLUTION

Skan AI answers all three.

Not from interviews or system logs, but from observing the actual work in real-time.

Explore the Platform →

Skan AI Blueprint

Enterprise AI Opportunity Discovery for C-suite leaders and transformation teams who need to
see where AI will deliver the most value across the entire enterprise, and what to do first.

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Nature of Work classification

Every activity mapped to Execution, Comprehension, Creation, Decision, or Communication

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AI Posture dial

Conservative, Moderate, or Aggressive recommendations that adjust instantly across every activity

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Four clear end-states for every activity

Fully Agentify, Partially Agentify, Do Not Agentify, or Eliminate

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Dollar-quantified savings

With a four-wave implementation roadmap (90-day quick wins to 12-month frontier items)

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Editable inputs

Change headcount, loaded cost, or AI posture and every number recalculates live

Skan Ai Process Intelligence Image

SKAN AI PROCESS INTELLIGENCE

Process-Level Automation Discovery For ops leaders and process owners who need to find and score automation opportunities within specific processes, down to the subprocess and task level.

  • Model-based complexity scoring: every task scored as low, medium, or high complexity based on prediction models
  • Hierarchical opportunity discovery: automation opportunities surfaced at Subprocess, Task, and Activity levels
  • Clickstream validation: every opportunity validated against real user behavior, not theoretical process maps
  • Separate RPA vs. AI scoring so you match the right technology to each task
  • Pre/post-automation KPI tracking to prove ROI with observed data, not projections

 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. 

  • Before/after measurement - Track exact time savings on each automated task with real data, not estimates.

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

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

Step 3. Measure Impact

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

Capability

Skan White Logo

Process Mining

Manual Studies

Task Mining

Observes ALL apps (incl. mainframes, VDI)
 Zero-integration deployment
AI agent readiness scoring
Nature of Work classification
 AI posture (risk dial)
Dollar-quantified savings

Partial

Four-wave implementation roadmap
Pre/post-automation KPI tracking

Partial

Scales to thousands of users

 Real Results

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

37%

Faster Processing Times

$12M+

Annual Cost Savings Identified

25B+

Events Processed

 See Skan AI's Automation Explorer in Action

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.

Stop Guessing. Start Seeing.

Whether you need an enterprise-wide AI transformation roadmap or process-level automation targets, Skan shows you what's real. Get a prioritized plan with dollar impact in weeks.

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