Expert thinking for enterprise IT leaders.
Deep dives on ServiceNow workplace delivery, infrastructure supply chain strategy, and IaaS workflow automation — grounded in the programs we run for enterprise clients every day.
ServiceNow Workplace Service Delivery Suite
Read ArticleNavigating Supply Chain Volatility Together
Read ArticleVMware + ServiceNow IaaS Automation
Read ArticleServiceNow + AI for Energy Operations
Read ArticleAI Control Tower on ServiceNow
Read ArticleThe ServiceNow intelligence feed
Platform news, Knowledge26 coverage, and agentic-AI developments — curated by our content agents and reviewed by our team before anything is published.
Showing 37 of 37 items · feed last updated 2026-05-23
Get Acquainted with the ServiceNow Workplace Service Delivery Suite
As organizations navigate the ever-changing ways of working, ServiceNow's WSD Suite delivers one portal for space reservations, 3D floor mapping, facility case management, and complete visitor lifecycle management. Each module deploys independently or as a fully integrated suite — so you adopt at your pace.
Explore ServiceNow Services01
Reservation Mgmt
02
Space Mapping
03
Case Management
04
Visitor Management
Four Modules. One Unified Workspace Experience.
Each application can be deployed independently or as a complete, integrated suite
Reservation Management
Self-service desk and room booking with calendar sync, approval workflows, check-in/out controls, and configurable standard or flexible space services.
Space Mapping
3D virtual floor plans via ServiceNow's MappedIn integration — reserve desks, rooms, and parking with real-time updates and in-office turn-by-turn navigation.
Case Management
Every workplace issue and request — from plumbing to pest control — routed to the right team via manual assignment, Flow, or fully automated Service Activity.
Visitor Management
End-to-end guest lifecycle: pre-registration, parking, Wi-Fi access, badge printing, and a real-time reception dashboard tracking expected and on-site visitors.
Case Management — 3 Fulfillment Types
Manual
Administrators assign tasks after submission — full control over every case.
Flow
Cases move through a pre-designed process via ServiceNow Flow Designer.
Service Activity
Pre-defined approvals, tasks, and child cases triggered automatically on submission.
Component Availability Index · 2026
Market Signal · 2026
"Lead times now swing by quarters, not weeks."
AscendWorks Infrastructure Advisory
GPUs
Constrained
DRAM
Constrained
SSDs
Constrained
Optics
Constrained
Navigating Supply Chain Volatility: Protecting Your Infrastructure Plans
Over the past 18–24 months, the infrastructure planning playbook has broken down. AI-driven demand has created structural shortages across GPUs, DRAM, SSDs, and optics. The companies that come through this period strongest treat supply chain volatility as a design constraint — not a surprise.
Infrastructure AdvisoryFour Forces Driving Today's Shortages
Understanding what's converging — and why traditional procurement no longer works
AI & Hyperscaler Pre-Buying
Multi-billion-dollar, multi-year GPU and high-bandwidth memory orders that rarely reach the open market — leaving standard enterprise buyers locked out.
Silicon & Memory Reallocation
DDR5, HBM, NAND, and advanced CPUs are being prioritized for AI workloads, directly constraining standard server, storage, and networking availability.
OEM Portfolio Rationalization
Vendors are narrowing SKUs and extending production cycles — better economics for them, but reduced configuration flexibility and longer lead times for you.
Pricing Behavior Change
Sustained inflation and compressed pricing cycles have replaced the predictable annual adjustments of the past decade — especially in memory and storage.
Four Anchors for 2026–2028 Infrastructure Plans
What the highest-performing IT leaders are doing differently right now
Design for Availability, Not Perfection
Broaden component standards to allow alternate platforms, port speeds, and memory profiles. Build modular repeatable units — pods or blocks — that can accept substitution when specific parts are constrained.
Shift to Intentional Pre-Purchase
In today's market, waiting rarely gives you a better price. Lock in GPUs, SSDs, and memory early. Treat inventory as a strategic asset tied to named programs — not speculative spend.
Use Cloud and On-Prem as Complementary
Cloud absorbs demand spikes and accelerates new workloads. On-prem handles stable, high-utilization capacity. Hybrid, done intentionally, is the most resilient posture.
Embed Financial & Supply Governance
Architecture, finance, and procurement can no longer operate in silos. Expand FinOps beyond cloud. Scenario-plan for DRAM swings and lead-time slippage before they happen.
How Deployment Models Behave Under Stress
Hybrid, done intentionally, is emerging as the most resilient model in today's environment
On-Premises
Advantages
+Maximum performance & data control
+Predictable for stable workloads
+Easier platform standardization
Constraints
−You absorb full supply-chain risk
−Projects stall if components delayed
−Large capital commitments to time
Public Cloud
Advantages
+No physical supply dependency
+Instant scale up or down
+Strong for experimentation & AI
Constraints
−OpEx escalates quickly at scale
−Egress and interconnect costs add up
−Indirectly exposed via cloud pricing
Hybrid
Advantages
+Workload placement flexibility
+Cloud as supply-chain release valve
+Pull back on-prem when economics shift
Constraints
−Requires mature operating model
−More governance moving parts
−More teams and vendors to align
A Powerful Combination: VMware + ServiceNow to Automate IaaS
Organizations with high infrastructure maturity often struggle to shift from established manual practices to automation at scale. Using ServiceNow and VMware Aria Automation together, the move from manual server deployments to fully automated IaaS provisioning can be accomplished without disrupting established change management processes.
Automation & AI ServicesZero-Touch IaaS Pipeline
Zero manual change requests — server order to CMDB, fully automated.
The IaaS Automation Pipeline
From server request to fully provisioned, change-managed, CMDB-registered infrastructure — without a single manual step
Server Action
VMware blueprint defines CPU, memory, disk, and network via YAML
VMware Plugin
Aria Automation exports catalog items directly to ServiceNow
Service Catalog
Role-based self-service ordering portal for enterprise teams
ServiceNow Flow
Automated CAB change requests — zero manual engineer input
CMDB & Change
Discovery runs register servers and close change requests automatically
VMware Aria Automation Plugin
Developed and maintained by VMware. Connects Aria blueprints to ServiceNow — supporting YAML-defined infrastructure with custom logic in JavaScript, PowerShell, or Python.
ServiceNow Service Catalog
All Aria items sync to ServiceNow automatically. Admins organize by category; users order servers with the options pre-configured in Aria — no additional customization required.
ServiceNow Flow
Automates entire process sections: CAB change requests, CMDB discovery runs, AD group assignments, and software installation — without any manual engineer input.
Using ServiceNow and VMware Aria Automation together, organizations deploy and manage infrastructure without interrupting established processes — leaving engineers free to focus on higher-priority work.
How ServiceNow + AI Is Rewriting Oil & Gas Operations
Three high-impact programs across upstream asset management, EHS compliance, and field workforce optimization — implemented by AscendWorks with production-scale outcomes and C-suite visibility.
$38B+
Annual industry losses from unplanned downtime
Source: ARC Advisory Group
30–50%
Downtime reduction potential via predictive maintenance AI
Source: McKinsey & Company
45%
Faster EHS incident resolution with integrated platforms
Source: Deloitte
34%
Field productivity gain from AI-augmented FSM
Source: IDC Research
Predictive Asset Health for a Global E&P Operator
How a supermajor unified 26 production sites and cut unplanned downtime by 31%.
The Challenge
A global E&P company operating 14 offshore platforms and 12 onshore compression stations managed asset health across three disconnected CMMS systems. Unplanned equipment failures generated 8–12 hours of production downtime per event. Technician dispatch averaged 6.8 hours from alarm to on-site arrival due to manual work order creation and contractor coordination delays.
3
Disconnected CMMS systems
no unified asset view
6.8h
Avg. dispatch-to-arrival time
manual process
140+
Annual unplanned failure events
production impact
AscendWorks + ServiceNow Solution
AscendWorks unified asset lifecycle management, real-time OT data integration via OSIsoft PI, and field service dispatch on ServiceNow — creating a single operational command center across all 26 sites.
AI & Automation Layer
Now Assist for ITSM
Field technicians receive AI-generated repair procedures matched to equipment model and fault code — reducing time-to-diagnosis by 44% on first contact.
Predictive Intelligence ML
Trained on 36 months of OSIsoft PI sensor data, ML models forecast rotating equipment failures 72–96 hours in advance with 87% precision.
Flow-Triggered Dispatch
Work orders and technician dispatch trigger automatically when sensor readings cross pre-configured risk thresholds — zero manual intervention.
Business Outcomes
31%
Reduction in unplanned downtime
62%
MTTR improvement (8.2h → 3.1h)
$4.2M
Estimated avoided production losses, Year 1
26
Sites on one unified asset platform
McKinsey & Company: Predictive maintenance in process industries reduces unplanned downtime by 30–50% and maintenance costs by 10–25%.
Why AscendWorks
AscendWorks brought pre-built OSIsoft PI integration accelerators, upstream domain expertise, and a 6-week deployment model — taking the operator from 3 siloed CMMS systems to one ServiceNow asset command center without disrupting live production.
HSE Incident Automation & PSM Compliance for an Integrated Energy Company
From 3 FTE-days to 2 automated hours per OSHA 300 log. PSM audit readiness: 68% → 94%.
The Challenge
An integrated energy company spanning upstream, midstream, and downstream across 8 states managed safety incidents through email chains, spreadsheets, and a 15-year-old legacy EHS system. OSHA 300 log compilation consumed 3 FTE-days per quarter. Incident investigation closure averaged 22 days against a 14-day industry target. PSM documentation was fragmented across 140+ SharePoint folders with no version control or change tracking.
22d
Avg. incident investigation closure
vs. 14-day target
3 FTEs
OSHA 300 prep time per quarter
entirely manual
140+
PSM document folders in SharePoint
no version control
AscendWorks + ServiceNow Solution
AscendWorks built a unified EHS and compliance platform on ServiceNow GRC — connecting incident reporting, corrective action automation, PSM document management, and regulatory compliance into one auditable system of record.
AI & Automation Layer
Now Assist — Corrective Actions
Automatically suggests corrective actions based on incident type, location, and historical resolutions — cutting investigation initiation time from hours to under 15 minutes.
ML Risk Scoring
Open corrective actions are auto-prioritized using a severity × recurrence × age model, surfacing the highest-risk items to responsible leaders in real time.
Leading Indicator Analytics
Predictive Intelligence correlates near-miss patterns and inspection deficiencies with historical safety events, flagging elevated-risk sites 30–60 days before lagging metrics detect them.
Business Outcomes
4×
Faster incident notification (4.2h → 45 min)
50%
Investigation closure time (22d → 11d)
2 hrs
OSHA 300 log automated (was 3 FTE-days)
94%
PSM audit readiness (was 68%)
Deloitte: Organizations with integrated EHS platforms resolve safety incidents 45–55% faster and achieve a 30%+ improvement in regulatory audit pass rates.
Why AscendWorks
AscendWorks delivered a pre-configured EHS accelerator purpose-built for OSHA, PSM, and API RP 754 compliance — migrating 15 years of legacy incident data without loss and deploying AI-assisted corrective action workflows in week 3 of a 6-week program.
Field Workforce Intelligence for a Midstream Pipeline Operator
1,800 technicians. First-time fix rate from 52% to 79%. Dispatched by AI, not phone calls.
The Challenge
A midstream pipeline and gathering company with 1,800 field technicians across 5 operating regions dispatched work through phone calls, text messages, and paper-based work orders. First-time fix rate stood at 52% — nearly half of all field visits required a return trip. Parts availability was invisible at the field level. Training and certification compliance was managed through quarterly spreadsheet audits.
52%
First-time fix rate
before optimization
1,800
Field technicians managed
across 5 regions
Phone/SMS
Primary dispatch method
no digital visibility
AscendWorks + ServiceNow Solution
AscendWorks deployed ServiceNow Field Service Management with the mobile app — integrating AI-driven dispatch, real-time parts forecasting, and DOT certification tracking into one connected field operations platform.
AI & Automation Layer
Now Assist Mobile
Field technicians receive AI-generated repair guidance, safety checklists, and required parts lists before arriving on-site — cutting return trips and unplanned parts runs significantly.
Intelligent Dispatch (ML Scheduling)
ML-based scheduling matches technician skills, active certifications, and geographic proximity to each work order — optimizing field utilization across all 5 regions in real time.
Parts Demand Forecasting
Predictive Intelligence analyzes 24 months of work order history to pre-position high-demand parts at regional depots, reducing parts-related field delays by 38%.
Business Outcomes
79%
First-time fix rate (up from 52%)
34%
More work orders completed per technician/day
28%
Reduction in mean travel time per work order
Real-time
Certification compliance visibility (was quarterly)
IDC Research: Organizations using AI-augmented field service management achieve 20–30% improvement in first-time fix rates and 25–35% increase in technician productivity.
Why AscendWorks
AscendWorks configured ServiceNow FSM with pre-built midstream workflows — pipeline integrity inspection routing, valve maintenance scheduling, and DOT compliance checklists — deployed and adopted across 1,800 field technicians in 8 weeks.
See these programs with full before/after operational breakdowns.
The AI Control Tower: Real-Time Resilience on ServiceNow
Enterprise operations produce more signals than any human team can process in real time. The AscendWorks AI Control Tower transforms ServiceNow into a predictive intelligence layer — one that detects incident risk before it fires, coordinates compliance without manual escalation, and keeps IT, risk, and business operations synchronized in a single control room.
Built for regulated industries where the cost of a missed signal is measured in regulatory penalties and reputational exposure — not just SLA violations.
Request a Control Tower DemoAI Control Tower · Real-Time View
Live Risk Signals
Five Intelligence Layers. One Platform.
Built natively on ServiceNow — no new infrastructure required
Predictive Incident Risk
AI models score every active incident and change request against CMDB health, historical failure patterns, and business impact — surfacing risks before they cascade.
Compliance Coordination
Regulatory events trigger automatic escalation to the right teams, evidence collection workflows, and a full audit trail — without a single manual handoff.
Unified Control Room
IT, risk, and business operations share one synchronized dashboard — 12 configurable views spanning incident queues, change risk, SLA posture, and regulatory readiness.
AI-Assisted Triage
AI agents classify, route, and escalate tickets autonomously — cutting manual triage by 66% and freeing senior engineers to focus on resolution, not dispatch.
Regulator Reporting
Audit-ready reports are generated on demand — compressing regulatory response from weeks to hours by pulling structured data directly from ServiceNow records.
How It Works: Detect → Coordinate → Act
Three autonomous stages that transform raw operational data into governed, coordinated response
Detect
AI agents continuously monitor all incidents, changes, and compliance signals across IT, risk, and operational data in real time
Coordinate
Risk scores trigger automated workflows — routing escalations, assembling evidence, and synchronizing teams without manual handoffs
Act
Control room dashboards surface the right intelligence to the right person — from engineer to CRO to regulator — at the right moment
Built for national banks, regional lenders, and any enterprise where operational risk sits alongside regulatory obligation — the AI Control Tower turns your ServiceNow instance into your most valuable risk asset.
See It in ActionPut these insights to work for your enterprise.
Whether you're modernizing workplace operations, shoring up infrastructure resilience, or deploying ServiceNow for Oil & Gas — AscendWorks brings the expertise to execute with precision.