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ServiceNow strategy, agentic AI, ITOM, and implementation lessons — written by the team that delivers them.
AI agents that don't just answer questions but actually close incidents — here's how the perceive-decide-act loop works on the Now Platform, and the governance ladder that makes autonomy safe for the enterprise.
Read the article →The perceive-decide-act loop, and the autonomy ladder that keeps it safe.
TPP enrolment, Build Partner status, vendor instances and what certification actually reviews.
A seven-point readiness check. Most AI pilots stall on data quality, not the model.
Realistic timelines by scope — and why decision latency drives the schedule more than the module.
Eight common causes, how to diagnose each, and what actually fixes them.
Clinical service desks, clinician onboarding, medical device assets — and what to keep out of the platform.
Alarm correlation, OSS/BSS integration and why topology accuracy decides everything.
Support that scales sub-linearly, closing the support-to-engineering loop, and Store distribution for ISVs.
Integrated risk, auditable change, third-party risk and operational resilience mapping.
Store systems support, seasonal workforce lifecycle, and designing for an associate with a queue.
Discovery, service mapping and the governance that stops data drifting back.
What to train, in what order, and when hiring beats upskilling.
One practical article a week on agentic AI, implementation patterns, and platform strategy. No fluff, no spam.
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