"An organization's ability to learn, and translate that learning into action rapidly, is the ultimate competitive advantage." — Jack Welch
Jack Welch said it well: an organization's ability to learn and translate that learning into action rapidly is the ultimate competitive advantage. But here's where most organizations stall: the translation itself.
Process Mining reveals what's happening in your workflows. But insights don't improve processes. Actions do. The gaps between spotting a problem, knowing what to do about it, and acting on it, is where improvement efforts stall. The Now Assist skills for Process and Task Mining shrink those gaps. The result is clarity, speed and actionability. Everyone from process owners to operations leaders can understand what the data means and take action without delay.
In this post we’ll review the different Now Assist skills available for Process and Task Mining.
Now Assist Skills for Process and Task Mining
Intent and Activity Analysis
Intent and Activity Analysis automatically categorizes work by the type of customer request being handled (VPN issues, billing disputes, benefits inquiries, whatever your process manages). Then it reconstructs a step-by-step view of the activities recorded in work notes for each type, organized by the same process step or transition.
The result is a clear picture of which resolution patterns are repeatable and consistent, and which ones vary wildly.
The problem it solves
Understanding how work actually gets resolved is buried in unstructured work notes scattered across thousands of records. Process owners can see on the process map that a certain step is slow or that work is piling up at a particular group. But what are people actually doing to resolve those tickets? Without this visibility, you're making improvement decisions blind.
Who uses it and why it matters
Process analysts, process owners, and operations leaders use Intent and Activity Analysis to identify which workflows are strong candidates for AI agent deployment or automation. When you can see that certain problem areas follow consistent resolution patterns while others are all over the map, you have the data-driven signal to prioritize where automation will deliver ROI.
Impact on your improvement cycle
Instead of weeks hunting through records to spot patterns, Intent and Activity Analysis surfaces them immediately. You move from hypothesis to evidence in an instant.
Available since: Australia release
Improvement Opportunity Highlights
When Process Mining identifies an improvement opportunity (a bottleneck, a pattern of rework, non-conformant execution, idle time, high touchpoints), it surfaces the metrics and context. Improvement Opportunity Highlights takes that data and automatically summarizes it in plain language, explaining what's wrong, why it's happening, and what magnitude of improvement is at stake.
The problem it solves
Process Mining shows you the what. But not everyone reading those insights is a process analyst who knows how to interpret histograms, variance analysis, and process maps.
You need the 'why' and the 'so what' in a format that a process owner (someone who understands the workflow but not maybe not the workbench interface) can act on immediately.
These easy to read Highlights become conversation starters and change catalysts.
Who uses it and why it matters
Process owners and operations leaders use Improvement Opportunity Highlights to quickly understand what needs fixing and decide whether to investigate further. Instead of reading a detailed technical analysis, they read a clear summary: 'This step is taking 40% longer than it should because work is bouncing between two groups before reaching resolution. '
Now they can make a business decision in seconds.
Most importantly Improvement Opportunities are accessible directly from Platform Analytics dashboards so we can make them available in the same place they are already going to understand how their processes are performing. This session covers this in detail.
Impact on your improvement cycle
You skip the translation step entirely. The insight that used to require an analyst to prepare, present, and defend is now delivered directly to the decision-maker in their language. The time from 'we found something' to 'we're taking action' collapses.
Available since: Zurich release
Transition Work Notes Analysis
Transition Work Notes Analysis reads the unstructured work notes written on records as they move through an inefficient transition (between states, between groups, etc). It clusters similar themes and automatically summarizes them, surfacing the documented reasons why that transition is slow or problematic.
The problem it solves
Root cause analysis is detective work. A transition is taking too long. Your first instinct is to manually read 50 or 100 records, looking for patterns in what people wrote in the notes (not because you want to, but because its what you know). That's hours of effort. And if you're a process owner without deep analytical skills, you might not even know where to start.
Now Assist does that reading and summarization for you.
Who uses it and why it matters
Process analysts and process owners use this when they've identified an inefficient transition and need to understand why it's happening. You might find that work moving between groups is slow because reassignments aren't being properly documented, pointing you toward a routing logic fix or work is be rerouted because of a lack of expertise or the need for regional expertise. Without this visibility, you're making guesses (based on bias) With it, you're acting on evidence.
Impact on your improvement cycle
Time to root cause discovery shrinks dramatically. And because the summary is in plain language, more people in your organization can participate in the improvement conversation.
This session provides a deep dive on Transition Work Notes Analysis.
Available since: Yokohama release
Playbook Generation
Playbook Generation takes the ideal process path you identify in Process Mining and turns it into a guided, step-by-step workflow that your team follows.
One click transforms an analyzed process map into an enforceable Playbook embedded directly in the ServiceNow workspace.
The problem it solves
You've identified the best way to handle a certain type of work. You've mapped it. You've socialized it. Now you need to make sure people actually follow it. Playbooks guide teams step-by-step through the ideal path, making it structurally difficult to skip steps or execute out of sequence. But creating a Playbook usually takes configuration work and technical knowledge.
Playbook Generation eliminates that friction.
Who uses it and why it matters
Process owners and process improvement teams use this to move from pattern detection to enforced best practice. When you identify a conforming variant (the ideal way to handle a piece of work) you select it in the Analyst Workbench and generate a Playbook. Suddenly, everyone on that process is guided through the ideal path.
Imagine you've identified that escalations should follow a specific, proven path. But right now they're being handled 12 different ways depending on who's working. Playbook Generation turns that ideal path into a guided workflow. Instead of escalations sprawling across multiple variations, the Playbook enforces the one that works best. Consistency goes up, resolution time goes down.
Impact on your improvement cycle
You get a significant headstart on the path from 'we've figured out the ideal path' to 'everyone is following the ideal path'. And with the ability to mine Playbook executions your next cycle of Process Mining analysis will focus not on how well we are conforming but to 'which step can an AI agent handle?
Available since: Zurich release
User Task Step Summarization
When Task Mining captures how teams perform work on their workstations (the applications they use, the sequence of clicks, the time spent on each step), that data is detailed but raw. User Task Step Summarization converts those recordings into structured, business-readable descriptions and passes them directly into Automation Center.
The problem it solves
A process step is slow. You know it's not happening inside ServiceNow. It's happening on people's desktops (in a spreadsheet, an email, a supplier portal, three tabs in a browser). Task Mining shows you exactly what's happening. But turning that granular task-level data into an automation brief that your automation team can act on requires translation and context-gathering.
User Task Step Summarization bridges that gap automatically.
Who uses it and why it matters
Process analysts and automation or AI engineers use this to move from 'we found a bottleneck' to 'we're ready to build an automation' without manual translation work. The automation engineer has everything needed to build an AI agent without asking a single clarifying question.
Impact on your improvement cycle
The path from bottleneck discovery to automation execution is direct and unbroken. You pinpoint a problem with Process Mining. Task Mining shows the workstation-level detail. User Task Step Summarization produces the business case and technical brief. Automation Center gets a pre-filled request. The closed-loop improvement cycle that used to take weeks now takes days.
Available since: Australia release
The Real Payoff
Process Mining shows you the gap between designed process and reality. Now Assist skills for Process and Task Mining turn that visibility into action. They democratize Process Mining insights by moving them from 'analyst-only knowledge' to 'everyone can understand this.' They accelerate improvement cycles by compressing time from discovery to action. And they remove friction at every step: translation, clarification, technical configuration, business case building.
The result is organizations that move faster. That improve continuously. That turn process visibility into measurable operational impact.
Now that you know these skills exist the next question you need to ask is “who do I need to speak to to get these skills activated immediately?”
Currently these Now Assist skills are available in the Now Assist for Creator offering.
If this your first exposure to Process Mining check out some of the links below to learn more.
Process Mining Use Case Series
Guide to Getting Started with ServiceNow Process Mining
What's New for Process Mining in the Australia Release - Full details on Intent and Activity Analysis and User Task Step Summarization
What's New for Process Mining in the Zurich Release - Full details on Improvement Opportunity Highlights and Playbook Generation
What's New for Process Mining in the Yokohama Release - Full details on Transition Work Notes Analysis
