AI-Powered IT, Operations & Business Transformation

Bridging the gap between AI’s potential and real-world execution—accelerating IT, Operations, and Business transformation.

Let's Go!

Driving AI-Powered Transformation in IT, Operations & Enterprise


AI is revolutionizing how we create, innovate, and scale—unlocking new possibilities, accelerating discovery, and transforming industries. ITOpsAI explores what’s possible with AI and how to bring it to life—through real-world case studies, research, and strategic insights.

AI-Focused Tips, Insights, and Technology Spotlights

Explore AI’s impact on IT, Operations, and Enterprise with insights, emerging trends, and technology deep dives. From automation and

AI-driven execution to the latest advancements, our blog breaks down what matters—No AI hype—just the trends and strategies that actually matter.

AI Strategy & Execution: Case Studies That Matter

Learn from real-world AI case studies—how organizations are using AI to optimize IT, automate operations, and drive business growth. This growing collection spans multiple industries and applications, showcasing AI’s role in automation, cloud computing, security, customer experience, and beyond

Curated AI Research & Execution Frameworks

Stay ahead with AI research, structured execution frameworks, and strategic reports—helping IT and business leaders apply AI for automation, scalability, and transformation.

A black and white drawing of a gear and a circuit board.

Scaling AI: Strategy, Execution & Automation

Scaling AI is about execution—integrating automation and driving real impact. Explore frameworks, strategies, and case studies on scaling AI across IT, Operations, and Enterprise.

The AI Execution Hub: Case Studies, Strategy & Insights

From case studies to execution frameworks—learn how AI is transforming IT, Operations, and Enterprise at scale

Explore Recent Blogs

By Sherry Bushman April 23, 2025
As AI moves from proof-of-concept to operational scale, we’re continuing to track how leading organizations are deploying real solutions across IT, customer experience, and security. Every case study here has been manually curated, fact-checked, and vetted to showcase real-world AI execution inside enterprise environments. Each case study highlights: A specific business problem (not just a use case) The AI tools and platforms actually used Measurable results like reduced resolution time, improved customer experience, and scaled productivity Cross-functional innovation from IT operations to customer service to development workflows This month’s additions span sectors from retail to cloud services and showcase how companies are cutting resolution time, scaling insights, and unlocking automation across the stack. Quick Take: Case Study Highlights Vulcan Cyber used Snowflake AI Data Cloud to orchestrate 100+ threat feeds, summarize CVEs with GenAI, and accelerate vulnerability remediation. HP integrated Snowflake + ThoughtSpot to modernize analytics, enable AI-powered self-service, and cut partner turnaround times to <24 hours. Kroger unified observability with Dynatrace AIOps, replacing 16 tools and cutting support tickets by 99%. Camping World deployed IBM watsonx Assistant to automate 8,000+ chats, lower wait times to 33 seconds, and boost engagement by 40%. CXReview used IBM watsonx.ai to automate call summaries, saving agents 23 hours/day and scaling compliance reviews. Photobox leveraged Dynatrace AIOps to cut MTTR by 80% and reduce peak-period incidents by 60%. LAB3 rolled out ServiceNow Now Assist to cut MTTR by 47%, reduce workflow bottlenecks by 46%, and boost self-service by 20%. Fiserv used UiPath GenAI Activities and Autopilot to automate MCC validation with AI prompts—achieving 98% straight-through processing and saving 12,000+ hours annually. Expion Health deployed UiPath’s AI-powered Document Understanding and Computer Vision to automate healthcare claims—boosting daily processing by 600% and cutting manual effort at scale. HUB International scaled enterprise-wide automation using the UiPath AI platform, automating 60+ workflows across finance, underwriting, and compliance to support aggressive M&A growth. American Fidelity combined UiPath RPA and DataRobot AutoML to automate customer email classification and routing—achieving 100% accuracy, freeing thousands of hours, and scaling personalization. Domino’s Pizza orchestrated over 3,000 data pipelines using BMC Control-M—enabling real-time insights and scalable enterprise reporting across 20,000+ stores. Electrolux automated global self-service content using BMC Helix Knowledge Management—cutting publishing time from 40 days to 90 minutes and increasing usage by 10,488%. InMorphis launched three GenAI solutions in four weeks using ServiceNow AI Agents—boosting code accuracy to 73%, hitting 100% SLA compliance, and driving a 2.5x increase in sales productivity. 📊 Full Case Study Table
AI Circuit chip in royal Blue
By Sherry Bushman April 21, 2025
This guide walks through Amazon’s GenAI Readiness Workbook—a cloud-agnostic, execution-focused framework to assess your AI maturity across infrastructure, governance, and strategy. Includes step-by-step instructions, ownership models, prioritization methods, and execution planning tips.
AI Tools and Components linked as cogs
By Sherry Bushman April 17, 2025
Discover how industry giants like Netflix, Uber, Airbnb, and Spotify leveraged MLOps (Machine Learning Operations) long before GPT and generative AI took the spotlight. This in-depth guide unpacks DevOps-inspired data pipelines, streamlined ML model deployment, and real-time monitoring techniques—all proven strategies to build scalable, reliable, and profitable AI solutions. Learn about the roles driving MLOps success (MLOps Engineer, Data Scientist, ML Engineer, Data Engineer) .Whether you’re aiming to enhance your machine learning workflows or make a major career move, this blog reveals the blueprint to harness MLOps for maximum impact in today’s AI-driven world.