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SujanDutta
ServiceNow Employee

 

We've all heard the story — ticket volumes are going up, headcount isn't, and your fulfillers are stretched thin. So what can you actually do about it within ServiceNow without writing a ton of custom code?

That's exactly what Sujatha walked us through in this session: Recommended Actions, an out-of-box framework that delivers context-aware recommendations directly to agents in the Service Operations Workspace.

 

What Are Recommended Actions?

Recommended Actions is a reusable framework that surfaces outcome-based recommendations to users working records in a configurable workspace. 

There are two main flavours:

  1. Guidance-based recommendations — think KB article suggestions, resolution steps, or decision trees surfaced right on the record.
  2. Field-level recommendations — predictive suggestions for fields like assignment group, configuration item, or service, helping fulfillers classify and route tickets faster.

How It's Built: Context, Rules, and Resource Generators

The architecture has three core components:

  • Context: Defines where the recommendation appears (e.g., the Incident table) and who sees it.
  • Rules: Conditions that determine when a recommendation fires. Each context can have multiple rules.
  • Resource Generators: The engine that actually fetches the data — whether that's pulling similar KB articles via a similarity model, running a script, or using a classification technique.

Each resource generator has a definition that specifies which table to query, which fields to match on, and any filter conditions (like only pulling published KB articles). There's also a training frequency that keeps the underlying ML model up to date — and you can hit "Execute Now" to train on demand during setup.

 

Why This Matters

This isn't just about saving a few clicks. When ticket volumes spike and you can't just throw more people at the problem, Recommended Actions gives your existing team a meaningful productivity boost. The combination of smart Guidance based recommendation and field level recommendations means faster resolution times, fewer misrouted tickets, and less ramp-up time for new team members.

It's one of those features that's already sitting in your instance if you have the right licensing — well worth exploring.