AI Adoption - Where are you now?
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2 hours ago
Hi Everyone,
As AI capabilities continue to evolve rapidly across the ServiceNow platform, I’m interested in understanding where different organizations, customers, and partners currently stand in their AI adoption journey.
Many of us are navigating similar challenges—readiness, data quality, migration prerequisites, technical capacity, budget cycles, and internal alignment. It would be helpful to learn how others are approaching AI adoption in real projects.
Where does your organization stand today? Are you:
- Exploring AI – reviewing use cases, assessing feasibility, or evaluating Now Assist capabilities
- Preparing foundations – migrating to Flow Designer, upgrading workspaces, or cleaning data
- Running pilots – trying out summarization, classification, recommendations, or AI agents
- Rolling out AI at scale – enterprise-wide enablement, governance, and measurable outcomes
- Still forming a strategy – need clarity on priorities, ROI, or resource availability
- Partner-driven – relying on implementation partners for enablement and rollout
- Hybrid model – partners handle legacy modernization while internal teams focus on AI
It would be great to hear:
- How you’re prioritizing AI relative to other mandatory migrations
- Any blockers slowing down AI adoption
- What’s working well and what isn’t
- Whether your approach differs for small vs. large teams
- How partners are supporting your AI roadmap (if applicable)
Your insights could help others benchmark their readiness and refine their strategy.
Looking forward to the discussion! Are there separate spaces or blots or videos where customers demonstratee their ServiceNow AI Adoption strategy, execution and roadmap?
