CSM Australia Upgrade Strategy ServiceNow has clearly shifted from AI as assistance to AI as strategic execution. Therefore, successful organizations do not just “turn on” Now Assist—they operationalize it. Otherwise, organizations risk inconsistent outputs, low adoption, and missed ROI. STEP 1 — Enable the Right Now Assist Capabilities First, you must activate the correct plugins and features.

Core Enablement Areas Capability

What to Enable Why It Matters Enablement Action Now Assist for CSM GenAI for case workflows Powers summaries, responses, recommendations Activate Now Assist for CSM plugins Instead of enabling everything at once, start with:

- Case summarization
- Knowledge recommendations Then, progressively enable:
- Sentiment triggers
- Proactive case creation STEP 2 — Configure AI for Real Business Use Next, configuration determines whether AI is useful—or ignored.

Configuration Checklist Area

What to Configure Best Practice Prompts AI instructions and tone Align to brand voice + compliance Guardrails What AI can/cannot do Prevent hallucinations + risk Data Sources KB, case history, signals Ensure clean, relevant data Roles Who can use AI Start with pilot groups Logging Track AI usage Enable auditability Clearly define:

- “What good looks like” for AI output
- Otherwise, users will not trust it STEP 3 — UAT (Test AI Like a Product) Now Assist must be tested like a decision engine, not just a feature. Instead of helping agents…

Now Assist is starting to do the work with them—and sometimes ahead of them STEP 4 — Train for Adoption (This is where most fail) Even with perfect configuration, adoption fails without training.





Training Model Role What They Need

Agents How to use AI + when to trust it Managers How to monitor AI outputs Admins How to tune prompts and configs Execs What metrics to expect - Start with “AI assists, human validates”

- Then move toward “AI recommends, human approves”
- Eventually: “AI executes with oversight” AI is not “set and forget.” Instead, you must continuously refine it.

Optimization

Loop - Identify gaps

- Improve knowledge Key Insight Organizations that win:

Treat AI like a product lifecycle, not a feature Common Enablement Mistakes (Avoid These) Mistake Impact Fix Turning on AI without governance Inconsistent outputs Define guardrails first Poor knowledge quality Bad recommendations Clean KB before rollout No UAT Low trust Test like a product No training Low adoption Train by role No metrics No ROI visibility Track performance early Recommended Enablement Roadmap Phase Focus Phase 1 Core AI (summaries, responses) Phase 2 Knowledge + AI integration Phase 3 Sentiment + automation Phase 4 Proactive service Executive Summary — Now Assist Enablement Strategy What You Must Do - Enable Now Assist in high-value workflows first

- Configure prompts, guardrails, and data sources
- Test AI outputs rigorously
- Train users by role
- Track ROI metrics What You Gain - More consistent service
- Proactive customer support
- Scalable operations Final Thought Clearly, Now Assist is not just another feature. Instead, it is:

a current operating model for customer service Therefore, success depends on one thing: Enable it intentionally, govern it carefully, and optimize it continuously Other CSM Australia Upgrade Strategy Resources

📌 Strategic AI Enablement for CSM: Adoption & ROI (Australia)
🏢 Dawn C Simmons
📍 Australia