Launch Consulting Group

It's always inspiring to see how our teams bring Planet Day to life in their own communities. From volunteering and giving back to celebrating together, every office put its own spin on the day. 🌎 Different countries. Different traditions. One team. #PlanetDay2026 #EmployeeEngagement

AI investment shouldn’t start with a pilot. It should start with a business case. Liz Thomas, VP of Enterprise Technology, outlines how organizations can use their own data to prioritize AI initiatives based on measurable impact, not momentum. What AI use case is driving the greatest business value in your organization — and how are you measuring it? #MicrosoftCopilot #AIROI #EnterpriseAI

Personalized retail experiences are no longer optional, shoppers expect them. But they also expect privacy. This article explores how retailers can use AI to deliver smarter, more relevant experiences while maintaining customer trust. Read the full article here: https://bit.ly/4rwVVnT

There’s a pattern showing up across AI programs right now. Teams move fast to unlock value, but governance gets figured out later. That works..until it doesn’t. Fragmented ownership, inconsistent controls, and limited auditability aren’t technical issues. They’re operating model gaps. The shift happening now: From reactive compliance → embedded compliance From documentation → enforcement From review → continuous oversight That’s what separates experimental AI from enterprise-ready AI. If you’re scaling AI, this is worth a read: https://bit.ly/49cfg6b

AI can help teams write code faster. But speed alone doesn't create better software. In his latest byline for DevOps Digest, our Global Lead Technologist, Jess Lampe, explains why DevOps leaders need to look beyond AI activity metrics like lines of code, prompts, or pull requests. The metrics that matter are the ones that have always mattered: delivering software faster without sacrificing reliability. As AI becomes part of the software delivery lifecycle, DORA metrics remain the best way to measure whether AI is actually improving delivery—or simply accelerating bad processes. Because the goal isn't to generate more code. It's to deliver better software. Read the full article:

AI pilots are everywhere. Measurable business outcomes? Not so much. The challenge isn't deploying more AI tools—it's connecting them. AI orchestration aligns agents, workflows, systems, data, and people so intelligence drives real business results, not just isolated productivity gains. Automation executes tasks. Orchestration connects those tasks to outcomes. As AI adoption scales, the organizations seeing the most value are focused on ROI, governance, and enterprise-wide impact—not just usage. How is your organization approaching AI orchestration?

Launch and Microsoft have partnered for more than two decades defining new technologies and delivering business transformation at the intersection of AI, cloud, and data. As a partner, we deliver: - Agentic platform architecture using Azure OpenAI, Copilot Studio, and AI Foundry - Data platform modernization on Azure Synapse, Fabric, and Databricks - Cloud migration and optimization across Azure infrastructure - Microsoft 365 Copilot deployment and adoption programs - Power Platform and low-code development with AI integration Learn more about our Microsoft partnership here: https://lnkd.in/eYAjefXU

AI isn't replacing human decision-making. The companies pulling ahead are designing systems where AI and human intelligence work together. https://lnkd.in/eAe7-njZ That's the shift we're seeing across enterprise AI adoption right now: → AI handles scale, speed, and pattern recognition → Humans provide context, judgment, and accountability → Together, they create decision systems that are faster, smarter, and more resilient The real challenge with AI at scale isn't the technology. It's trust, governance, and operational design. Organizations that embed human oversight directly into AI workflows are building a long-term competitive advantage — not just automating tasks, but improving how decisions get made across the business. At Launch, we call this moving from isolated automation to accountable AI decision systems. Because the future isn't AI-first. It's business-first, powered by human-AI collaboration. Read the full article: https://lnkd.in/eAe7-njZ

AI doesn't fail because of technology. It fails because of structure. Without an operating model, you get: → Pilot pile-up → Tool sprawl → Governance gaps → Inconsistent results With the right model, AI becomes repeatable—and scalable. That's the shift from experimentation to enablement. 👉 Read more: https://lnkd.in/dFTJMHWG

Strategic AI partnerships matter—but only when they create measurable value. We work with leading AI and technology providers, but our recommendations start with your goals, your standards, and your existing stack. Technology is a means to an outcome, not the outcome itself. The best solution isn't always a new platform. Sometimes it's getting more value from the tools you already have. Learn how we help organizations turn AI investments into business outcomes: https://lnkd.in/egmkuGms