ServiceNow AI · AI & Autonomy
AI that does the work.
Many AI programmes stall between the pilot and production. RIZ-ON starts from the work: which tasks consume time, which data the AI can trust, and which decisions must stay with people. Then we deploy ServiceNow AI and automation where it removes effort and measure the result.
The challenge
Why it matters now
Pilots that never scale
Promising demos fail on data quality, licensing or governance.
Automation islands
Scripts and bots that nobody owns or monitors.
Unclear accountability
Nobody can say which AI decisions are made, by what, and on what basis.
What changes with RIZ-ON
From — to
- AI experimentsAI in production with measured outcomes
- Manual triageAutomatic classification and routing
- Searching for answersSummaries and answers in the flow of work
- Unmanaged botsGoverned automation and agents
What we deliver
The work
- 01
AI readiness and use case portfolio
Prioritised use cases with data, licence and governance prerequisites.
- 02
Now Assist deployment
Summaries, generation and AI search across IT, HR and customer service.
- 03
AI agents and orchestration
Agents built for defined tasks, with permissions, oversight and monitoring.
- 04
Workflow automation
Flows, integrations and virtual agents that remove manual hand-offs.
- 05
AI governance
Inventory, risk classification and lifecycle controls aligned with the EU AI Act.
ServiceNow capabilities
On the platform
- Now Assist
- AI Agent Orchestrator
- AI Agent Studio
- AI Control Tower
- Virtual Agent
- Predictive Intelligence
- Flow Designer
- Integration Hub
- RPA Hub
- Process Mining
We configure before we customise, so your platform stays upgradeable.
Our approach
The RIZ-ON model, applied
- 01
Understand
Find where effort goes: process mining, ticket analysis and user interviews.
- 02
Design
Select use cases; design guardrails, prompts, agent scopes and approval points.
- 03
Build
Configure Now Assist, build agents and automations, connect data sources.
- 04
Activate
Release to pilot groups, measure adoption and quality, scale.
- 05
Evolve
Monitor, retrain and extend autonomy as evidence supports it.
Business outcomes
What you should expect
- Hours of manual work removed
- Faster response and resolution
- AI that passes an audit
- A repeatable path from pilot to production
Related customer stories
Proof, not promises
- AI on the service desk
Now Assist brings speed and consistency to every ticket
Faster ticket triage, richer documentation and a harmonised resolution process, which together shorten waiting time for end customers.
AI · ITSMRead the story - Customer service transformation
From IT service management to true customer service management
One case model and a clear view of customers, subscribed services and consumed services, giving every team smoother follow-up in a modern workspace.
CSM · ITSMRead the story
Related
Connected work
What should move next?
Tell us what you’re trying to change. We’ll help you determine the next move.