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 recent 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

📌 CSM Australia Upgrade Strategy (Sydney)
🏢 Dawn C Simmons
📍 Sydney