Psst! That new AI tool is going to change more than you think. When you automate some parts of work, the nature of the rest of the work changes. Some of those changes are good. Some are bad. Some are neutral. What they have in common: you can’t predict what they’ll be. Here’s our guide to spotting work changes post-launch and figuring out which ones you need to deal with ?? https://lnkd.in/ezuXAHkx
关于我们
FOUNT is a SaaS technology provider focused on identifying, quantifying, and reducing work friction. The platform leverages targeted surveys and powerful analytics to provide enterprise business leaders with actionable insights. With over 7 million friction data points available for benchmarking, these strategic insights support digital transformations, optimize AI integrations, uncover hidden organizational work friction, resolve operational challenges, and improve productivity. Founded in 2022, FOUNT has headquarters in Washington D.C., London, and Hamburg. #workfriction #productivity #workintelligence
- 网站
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https://www.getfount.com
FOUNT Global, Inc.的外部链接
- 所属行业
- 科技、信息和网络
- 规模
- 11-50 人
- 总部
- Washington，District of Columbia
- 类型
- 私人持股
- 创立
- 2022
- 领域
- work friction、aiadoption和digitaltransformation
地点
FOUNT Global, Inc.员工
动态
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Enterprise leaders don’t have time for guesswork when it comes to adoption, efficiency, and retention. From AI rollouts that miss the mark to digital transformations that stall, these 9 cases show how global enterprise companies identified and fixed hidden friction. The takeaway? The right data leads to the right solutions. That means 35% attrition improvement in 4 months, $13M in annual savings, 120,000 hours recovered, and more. Swipe through to see what worked. ??
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Once you’ve deployed a new AI tool, the real pressure begins. Now you’re on the clock?. When will the technology start delivering on its promise of increased productivity or reduced costs? While actual bottom-line results may take a year (or more!) to show, employee adoption and acceptance can be an early indicator of which way your AI investment is likely to go: ??/ ??/ ?? ? Our latest blog post explains how: https://lnkd.in/eAbTknEx
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We couldn’t say it better. Lagging vs. Leading Indicators of AI Transformation - rarely discussed but make all the difference. Most transformations hinge on adoption, yet too many rely on lagging indicators - looking back at what happened instead of leading indicators that predict success.
Whether you are an HR/PX, IT, GBS, Operations, or Business leader, you are in the midst of transforming some portion of the work people do. ? When I say the "work people do", I mean core work activities like... ? - Handle a customer complaint (customer service rep) - Identify new potential clients (sales agent) - Manage scope change (software developer) ? But also mean supporting work activities like... ? - Get expenses reimbursed - Get access to a new app - Learn a new skill ? If you are one of these leaders, you're without a doubt relying on and experimenting with new digital and AI tools that hold the promise of a lower cost to serve, better productivity and a better experience for your people. ? And your entire transformation business case hinges on people adopting the new tools and ways of working. ? So how do we ensure that? ? The answer is much broader than better change enablement. ? The multi-billion dollar adaption question is this: "Does this make my work activities easier, faster and better than before?” ? So does it? ? Many still don't know if their tools & interventions are. ? But there's a way to know, relying on specific experience metrics as a leading indicators to your transformation. ? Check out the visual below, and let me know if it sparks any reactions for you ? #work #worktransformation #digitaladoption #EX #EXmanagement
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There are 3 types of AI transformations: employee-facing service AI, customer-facing AI, and productivity-improving AI. For all three, you can improve ROI by reducing work friction. #enterpriseAItransformations
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With AI investments expected to top $2.5 trillion by 2033, measuring their success has never been more important. But it’s also complicated. In our latest blog post, we lay out the keys to determining how an AI transformation is going, namely: - Knowing how to classify workers - Measuring the impact of AI on work We also take a look at those AI transformations that affect everyone in the organization. https://lnkd.in/eNuxSBHi
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February Newsletter is Live! 70-20-10 70% of AI challenges come from people and processes 20% from technology Only 10% from AI algorithms According to the Boston Consulting Group (BCG) Research: Where is Value in AI. FOUNT Take: AI doesn’t fail because of bad technology. It fails because it didn't actually?make work easier, faster, better?for employees using it. ?? What’s Inside This Month’s Newsletter? ?? 7 Ways to Make Change Happen in Large Enterprises – research-backed takeaways from Ann-Sophie Schreiber. ?? Data Deep Dive: The Origins of and Statistical Models Underpinning FOUNT's Use of Data - a closer look at the framework FOUNT uses. ?? In 2025, AI Will Come of Age – insights on maximizing AI’s impact in a changing workforce. ?? Case Study: Developers & AI Tools – why AI adoption stalled and how Gamma Financial turned it around. .... More expert resources & insights on work friction and enterprise transformations. ?? Read the February Newsletter below:
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Executives ask employees what they think about a tool. But the real question is: How does it actually change their work? When AI tools roll out, leadership often surveys employees: ?? Do you like it? ?? Do you think it will be successful? ?? Have you had enough training? The problem? That’s not the data leadership needs. What FOUNT does differently: ?? We don’t ask employees if they like a tool. We ask how it impacts their work. ?? We measure changes in experience - before and after implementation. ?? We translate business needs into clear, actionable data executives can use. Because knowing whether employees want to use a tool doesn’t tell you if it’s helping them do their jobs better. #DigitalTransformations
Christophe Martel on AI Tool Surveys: What Executives Get Wrong in 2025
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How does FOUNT’s model work, and why does it make such a difference in AI transformation? Unlike traditional surveys that measure how work feels, FOUNT captures how work actually happens. We focus on impact over volume, real work moments over general experience, and pinpointing friction that holds AI back. Want ROI? Start with the right data. #DataValidity #EnterpriseAITransformation #AITransformation?