Category: AI: Generative Artificial Intelligence

  • Home
  • AI: Generative Artificial Intelligence
AutomatePro v9.3 is AutomatePro’s fastest release yet, built to help ServiceNow teams move beyond manual testing, fragmented release planning, and audit cleanup. With smarter automation, real-time control, and full visibility, v9.3 helps organizations accelerate releases, reclaim team hours, reduce failed changes, and deliver governance at velocity.

AutomatePro’s Fastest Release Yet

AutomatePro v9.3 is AutomatePro’s fastest release yet, built to help ServiceNow teams move beyond manual testing, fragmented release planning, and audit cleanup. With smarter automation, real-time control, and full visibility, v9.3 helps organizations accelerate releases, reclaim team hours, reduce failed changes, and deliver governance at velocity.

Read More
IWD: AI Service Management is where executive AI strategy becomes operational reality. This IWD 2026, HDI Chicagoland spotlights the women shaping AI-enabled ITSM, service operations, SecOps, and AI-driven customer experience—so CIOs, CISOs, COOs, and C-level leaders can see what works, fund what scales, and lead with responsible AI governance. Join the March 11 virtual executive panel, nominate a leader, or sponsor a movement that turns visibility into performance.

Resolving AI Gender Bias

Resolving AI Gender Bias: because Women aren’t missing from AI. We are missing from what AI learns. When models don’t count women, outcomes in healthcare, service, and government turn inequitable. Here’s how and why to correct it.

Read More
IWD: AI Service Management is where executive AI strategy becomes operational reality. This IWD 2026, HDI Chicagoland spotlights the women shaping AI-enabled ITSM, service operations, SecOps, and AI-driven customer experience—so CIOs, CISOs, COOs, and C-level leaders can see what works, fund what scales, and lead with responsible AI governance. Join the March 11 virtual executive panel, nominate a leader, or sponsor a movement that turns visibility into performance.

IWD: AI Service Management

IWD: AI Service Management is getting a practitioner-led spotlight—HDI Chicagoland is launching the Women of AI & Service Management white paper and a global virtual panel on March 11, 2026, plus a fast-moving YouTube spotlight series featuring women leading at the intersection of AI, ITSM, SecOps,

Read More
ServiceNow AI Best Practices, this Dawn C Simmons graphic gives you a clean, technical operating model for who owns what across AI tools—so teams stop debating and start delivering. What the image shows Title: AI in ServiceNow SPM + EAP: Who Owns What? It frames AI as an execution system, not a collection of chatbots. The core architecture (center) AI Control Tower + Guardian sits at the center/top as the governance and safety layer. In practice, this represents “AI guardrails first”: inventory, policy, monitoring, and safety controls before you scale automation. (If you want, I can align this label exactly to the ServiceNow doc naming you use internally.) The four delivery quadrants (the prescriptive ownership model) Now Assist (left / green) — “Delivery Door” Owns portfolio + backlog work inside the ServiceNow workspace Best for: drafting stories, updating tasks, summarizing records Message: If it must become a governed SPM/EAP record, do it here. Moveworks (right / blue) — “Employee Door” Owns employee onboarding/offboarding and employee request automation Best for: answering employee asks and guiding completion of common actions Message: Employees don’t need portfolio tools; they need frictionless fulfillment. Claude (lower left / orange) — “Deep Work Door” Owns deep drafting and synthesis Best for: writing documents and designing solutions (especially long-form, complex reasoning) Message: Use it to create strong drafts fast, then convert outputs into ServiceNow records. Auctor (lower right / purple) — “Discovery-to-Delivery Ops Door” Owns discovery-to-delivery operational acceleration Best for: capturing requirements and generating aligned artifacts Message: When delivery breaks due to rework and messy artifacts, use Auctor to standardize output quality.

ServiceNow AI Best Practices

ServiceNow AI Best Practices Stop AI tool sprawl and start shipping. Use ServiceNow SPM + EAP as your system of record, then assign AI ownership: Now Assist drafts and updates portfolio/backlog work inside the workspace, Moveworks runs employee onboarding/offboarding and self-service, Claude powers deep synthesis and

Read More
Claude AI vs AutomatePro comparison infographic showing why release readiness requires automated testing, traceability, and audit-ready evidence.

Claude vs AutomatePro Test

Claude vs AutomatePro Test speeds up the drafting work—user stories, acceptance criteria, and test ideas—so teams communicate faster and plan with more clarity. However, regulated and enterprise ServiceNow releases demand more than well-written steps. They require repeatable execution, scalable regression packs, upgrade readiness, and audit-ready evidence

Read More
DawnCSimmons 2

AI-Powered Sentiment Intelligence

AI-Powered Sentiment Intelligence enables organizations to detect emotional risk early, improve customer trust, and modernize service management with responsible AI.

Read More
Tech Companies in Chicago

Tech Companies in Chicago

Tech companies in Chicago Powering AI Innovation, cybersecurity, fintech, and healthcare at real enterprise scale. Use this guide to explore top hubs, schools, leaders, and recruiters.

Read More
Application Impact Analysis Mandate for Resilience in 2025. Application impact analysis: a risk-based approach to business continuity and disaster recovery has suddenly become a highly relevant reference architecture because the failure pattern has changed. Business Continuity and Disaster Recovery used to fail loudly—a system went down, everyone noticed, and you rallied. However, in 2025, systems can stay online while outcomes go wrong. As AI agents and automation accelerate decisions, silent failures now create the biggest risk: wrong approvals, wrong payments, wrong triage, and wrong compliance calls—often fueled by poor data quality, broken integrations, and unseen dependency chains. Consequently, “restoring systems” is no longer the finish line. Leaders must restore correct outcomes, protect decision integrity, and prove accountability across applications, data pipelines, and AI-driven workflows. High-level AIA process (1–7) Scope the key applications and mission-critical services Define outcomes and assign an Intent Owner Tier criticality (what must recover first) Map dependencies (apps, data, integrations, AI) Quantify impact (downtime cost + wrong-outcome cost) Set targets (RTO/RPO + recovery order) Validate + operationalize (scenarios, controls, runbooks)

Application Impact Analysis Mandate

Application Impact Analysis Mandate (AIA) calls for a resilience framework leaders need in 2025, when AI agents and complex dependencies make “uptime” an incomplete measure of safety. This guide explains AIA, compares it to BIA, and delivers a 30-day executive sprint plan to prevent silent failure

Read More
Clarity Copilot for Leaders: Artificial intelligence delivers speed and scale. Leadership still demands clarity. When leaders outsource thinking to systems without governing attention, responsibility erodes. Decisions accelerate—but insight declines. Clarity Copilot for Leaders draws a clear line between intelligence and accountability. It equips leaders to harness AI while protecting human judgment, focus, and ethical responsibility. In a world obsessed with automation, this book reminds us of what remains distinctly human—and indispensable.

Clarity Copilot for Leaders

Clarity Copilot for Leaders, leadership clarity, clarity in the age of AI. Grounded in neuroscience, psychology, and real-world leadership experience, the book exposes digital brain fog not as a personal failure, but as a systemic outcome of modern work. More importantly, it offers a disciplined path

Read More
Nate Aitken — Slalom, ServiceNow Principal with Cognizant Team - Sean Patrick Dougherty. VP of Consulting at Thirdera/Cognizant, Michael Cardinal Global Head of ServiceNow Business Group CoE. and Dawn Simmons (Khan) RaptorDB & Workflow Data Fabric, Data Quality Management (DQ), AutomatePro CoE

ServiceNow World Summit Highlights

ServiceNow World Summit Highlights revealed transformative demos and keynotes. McDonald’s Customer Experience CoE showcased innovation, while Northwestern Medicine highlighted Now Assist for Incident Management. Sessions on RaptorDB, Workflow Data Fabric, AutomatePro, and Data Quality Management proved why trusted data matters. From Women in IT leaders to

Read More
↑