ServiceNow Q3 results: Enterprises standardizing on AI for productivity

Snowflake just made it even easier to turn data into measurable business value. ❄️ With the new MCD Program, companies can now use Snowflake capacity to purchase Elementum AI. Our customers were already using their Snowflake data to automate complex business processes with AI and Agents - now they can use their Snowflake capacity to pay for it. 😉 🚫 Other workflow, automation, and agent solutions require that data be migrated to their platforms (a slower, more expensive, and less secure approach). ✅ We're bringing the Agentic Process Orchestration to customers' data. Less friction. More impact. Real value from your existing investment. Article: https://lnkd.in/gCvXpinx

ServiceNow’s Q3 numbers aren’t just strong, they’re defining the next phase of enterprise transformation. https://lnkd.in/dEutBbSs $3.3B in subscription revenue (+21.5% YoY) $3.4B in total revenue (+22%) Five-for-one stock split on the horizon Free cash flow and margins expanding sharply ServiceNow’s AI platform isn’t the future; it’s the present. The companies using it at scale are already pulling ahead. 🌍 What This Means for EMEA Leaders While U.S. enterprises are moving fast into production-grade AI workflows, EMEA still hesitates, caught between strategy papers and “pilot mode.”That hesitation now carries real business risk. The Zurich platform release and AI Experience interface have made AI implementation faster, safer, and more accessible. The differentiator is no longer technology; it’s speed of execution. The organisations that operationalise AI workflows now will dominate the next growth cycle. 💡 What Customers Should Be Thinking About Your competitors are already embedding AI into workflows, customer service, and operations. Compliance and governance challenges are no longer excuses — they’re design factors. The “wait and see” approach will mean higher costs, slower time to value, and loss of competitive edge. The FOMO is justified. The window to lead is closing fast. 🚀 How K2 Partnering Solutions Can Help At K2 Consulting, we work with enterprises across EMEA to turn AI and workflow ambitions into operational reality. Our teams help customers: Build secure, scalable AI workflows on the ServiceNow Platform Accelerate deployment and adoption with proven frameworks Close the talent and delivery gaps that slow transformation Achieve measurable outcomes, not just projects We don’t sell hype, we help you execute faster than the market. Let’s Connect in Munich We will be at the ServiceNow World Forum in Munich, meeting customers and leaders who are serious about moving from pilot to production. If you’re ready to scale your ServiceNow and AI transformation, let’s talk. This is the time to move while the market is still catching up. #ServiceNow #EMEA #AI #DigitalTransformation #K2Consulting #WorkflowAutomation #BusinessTransformation #WorldForum #Munich

𝐌𝐨𝐬𝐭 𝐒𝐚𝐚𝐒 𝐜𝐨𝐦𝐩𝐚𝐧𝐢𝐞𝐬 𝐡𝐚𝐯𝐞 𝐚𝐜𝐜𝐨𝐮𝐧𝐭𝐢𝐧𝐠 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐭𝐡𝐚𝐭 𝐭𝐫𝐚𝐜𝐤 𝐟𝐢𝐧𝐚𝐧𝐜𝐢𝐚𝐥𝐬, 𝐛𝐮𝐭 𝐧𝐨𝐭 𝐭𝐡𝐞 𝐭𝐫𝐮𝐞 𝐝𝐫𝐢𝐯𝐞𝐫𝐬 𝐨𝐟 𝐩𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲. Cogs’z is a purpose-built AI-Powered Profitability Management Platform built to reveal where profit is made, where it’s lost, and how to improve it. ✅Reveal low-margin customers & products ✅See your true cost to serve every customer ✅Uncover untapped profit opportunities ✅Automate margin improvement initiatives ✅Stay ahead on contract renewals We make it easy for executives, finance, sales, operations, and product teams to act on insights that drive smarter decisions and improve company profit performance. 𝐏𝐫𝐨𝐟𝐢𝐭𝐚𝐛𝐢𝐥𝐢𝐭𝐲, 𝐦𝐚𝐝𝐞 𝐯𝐢𝐬𝐢𝐛𝐥𝐞. 𝐁𝐨𝐨𝐤 𝐚 𝐩𝐫𝐨𝐝𝐮𝐜𝐭 𝐝𝐞𝐦𝐨: 𝐡𝐭𝐭𝐩𝐬://𝐜𝐚𝐥𝐞𝐧𝐝𝐥𝐲.𝐜𝐨𝐦/𝐛𝐫𝐚𝐝_𝐩𝐞𝐫𝐫𝐲/𝐜𝐨𝐠𝐬𝐳 #SaaS #Profitability #FinanceLeadership #Renewals #MarginImprovement #Cogsz

Extemely proud to be part of the story that contributes to ecosystem-driven growth. Agentic AI software intelligence opportunities and use cases are countless, but the key to growth is to deliver reliable and trustable insights for the most critical spots in the massive domain of technology stacks. Strategic ecosystem advancements: - Announced a multi-year strategic collaboration with ServiceNow to advance autonomous IT operations to empower customers to drive better outcomes, optimize services, and provide seamless digital experiences that drive customer and employee satisfaction. - Announced an integration with Atlassian, embedding real-time production insights directly into incident management processes. - Joined the GitHub Model Context Protocol (MCP) Registry, reinforcing Dynatrace's support for open, modern cloud ecosystems to help developers quickly discover and integrate AI-ready services. https://lnkd.in/dX6utjpf

I was excited to see the Sequoia Capital event 5 or so months ago and posted the Bret Taylor of Sierra clip titled "How AI is Reinventing Software Business Models". New business models are once in a generation. "Pouring jet fuel on usage-based pricing...usage-based pricing is only a proxy for #Value." Accenture’s Prem Ananthakrishnan joins Computer Weekly to explore how software licensing is evolving. The conversation dives into value-based contracts—a model where pricing reflects the actual business impact delivered. This shift is redefining how enterprises measure software value and ROI. Listen now: https://accntu.re/4nOszz6 What does value-based pricing mean for your customers? #ValueBasedContracts #SoftwareLicensing #DigitalTransformation #Accenture #AgenticAI

Robotic Process Automation (RPA) is evolving into Intelligent Process Automation (IPA), adding decision-support and predictive capabilities. This article examines which tasks are moving fastest to automation and where human oversight remains essential. Read the full discussion: https://ow.ly/IpSr50X7E1U

Salesforce announced Agentforce 360 pricing at $125/user. The actual cost breakdown is $300-500/user minimum. The October 13th launch positions this as enterprise-ready AI agents that reason, orchestrate tools, and handle voice interactions through their Atlas reasoning engine. Sounds compelling until you calculate total cost of ownership. What they’re not highlighting: The $125/user requires Salesforce Enterprise Edition baseline at $165/user before any AI functionality. Add mandatory Data Cloud connectivity, Einstein Platform activation, and API quota upgrades. Mid-market deployment (50 users) hits $416K year one, $374K annually after. Multi-org architecture? Add $24K per org. Need the actual reasoning to work? Factor $15-30K for specialized prompt engineering training. Want it in production? Budget $25-50K for change management consulting. The implementation reality: The Agent Script configuration is JSON-based declarative logic, not actual code. You’re configuring behavior trees, not building custom reasoning. The Atlas “neuro-symbolic hybrid” sounds advanced, but you’re dependent on Salesforce’s black box for the actual intelligence. The metadata deployment chain: GenAI Planner to Plugins to Functions to Flows/Apex to Testing to Production. Each step requires Salesforce-specific expertise, eliminating your ability to port this work anywhere else. Why this matters: 95% of enterprise AI pilots fail before production. Salesforce’s complexity doesn’t help those odds. They’re announcing 12,000 Agentforce customers, likely pilots rather than production deployments. The platform lock-in is strategic: once you’ve invested in Enterprise Edition plus Data Cloud plus prompt engineering plus deployment infrastructure, switching costs become prohibitive. That’s the business model. Salesforce’s agent capabilities are real. The total cost of ownership and implementation complexity make this an enterprise bet, not a pragmatic automation play.

The numbers don't lie: Workiva's Q3 delivered 23% subscription revenue growth, $224M beating projections, and 73% of our base now running multiple platform solutions. When you build AI infrastructure that solves real compliance and reporting problems, not just "AI features", the market responds. My work as a Staff Applied Machine Learning Scientist here isn't just about models or architecture. It's about understanding that our customers don't buy "AI", they buy regulatory risk reduction, reporting velocity, and data confidence. The infrastructure I helped architect enables them to connect these in ways that justify the $300k+ ACVs we're seeing grow. That's the difference between impressive tech demos and systems that CFOs and Risk Officers actually pay to scale. The $1.8-2.0B guidance through 2030 is a vision that we'll keep executing this same logic: AI as an enabler of capturable value, not an isolated feature. And that's exactly the kind of strategic problem that makes this seat worth occupying. https://lnkd.in/d_UndS8x

October 2025 update on public SaaS valuations - still clear segmentation across infrastructure vs. vertical/horizontal software. Vertical SaaS comps trade in a compressed range from 1.8x for travel & hospitality to 4.3x for automotive, industrial and financial services software, while horizontal SaaS comps show the widest dispersion from 1.1x for adtech to 5.4-5.5x for design/engineering software and vertical AI apps. Public investors seem to currently value software companies based on AI application (or death risk due to AI disruption), technical complexity, market position, and specialization depth - rather than TAM size alone.

For SaaS and tech companies juggling complex projects, every delay is costly. Slow answers mean missed opportunities, missed margins and missed chances to grow. Sage Copilot in Sage Intacct helps your team move faster to: ✔ Close projects and recognize revenue sooner ✔ Get instant answers on burn rate, margins and team utilization ✔ Catch performance shifts before they impact ARR AI-powered finance isn’t just about automation. It’s about making sharper decisions and getting clearer insights, so your team can spend less time digging through spreadsheets and more time driving growth. See what smarter finance actually looks like: https://ow.ly/32Wo50WZQNj #Technology #SageIntacct