Enable your people for successful enterprise change, realize benefits faster, and increase productivity through communications, learning and other key activities.
Studies show more than 60 percent of a project’s success relies on the people.
Even if you have all your new technology, processes and knowledge in place for a major transformation, it’s still possible to fail. Studies show more than 60 percent of a project’s success relies on the people.
Without taking this into account, you may face challenges to your program’s credibility, poor executive alignment, lack of collaboration, low morale, or difficulty achieving standardization.
We can help you reduce uncertainty, resistance and costly worker turnover with stakeholder management, targeted communications, organizational alignment, and training and learning enablement. We work to save money, increase productivity and align teams across a wide range of industries and transformation projects.
AI investment is accelerating, but results remain uneven. Only one in four initiatives is meeting revenue impact expectations, at an average spend of $1.3M per use case. Enterprises are no longer asking whether AI works. They are being asked to prove that it pays.
We help you identify where AI agents deliver the most value, restructure workflows around them and build the accountability models that keep autonomous execution auditable. The enterprises that win won't be the ones that reacted. They'll be the ones that designed for it first.
We give enterprises transparent, benchmarkable pricing models that tag each resource unit with the autonomy level used to deliver it. As AI capability advances, your pricing keeps pace. Both buyers and providers can quantify what that progress is worth.
We bring analysis of more than $2.6 billion in tracked AI spend to every sourcing decision. Procurement, technology and finance leaders get the independent intelligence to rationalize vendor portfolios and hold providers accountable to measurable outcomes.
We embed controls at the point of data creation, define accountability for autonomous actions and build adaptive frameworks that keep pace with AI without impeding it. Enterprises that get this right don't just manage risk. They build the trust that lets them scale faster.
We ground strategy in research across 2,400 enterprise use cases, aligning investment to where impact is proven and designing the data, talent and governance foundations that move AI from pilots into the workflows that drive commercial results.
We benchmark your AI readiness against peers across 75 countries, identify the dimensions holding you back and give you a personalized roadmap to close the gap.
AI investment is shifting decisively toward revenue-generating functions. CRM automation, sales enablement and forecasting have replaced chatbots and IT productivity tools as the leading use case priorities, reflecting enterprise recognition that productivity gains alone do not satisfy board-level scrutiny. At the same time, use cases in production have doubled since 2024, and the portfolio is diversifying rapidly, with over 300 distinct function and industry-specific use cases now in active deployment.
ISG research across 2,400 enterprise use cases shows that the strongest AI returns are currently concentrated in compliance, risk management and quality control, not in the growth and cost outcomes most enterprises originally set out to achieve
The gap between where enterprises are investing and where AI is actually delivering is the defining commercial tension of 2025. Organizations that close it by targeting functions with structured, revenue-attributable data and clear ROI measures will establish performance benchmarks that compress the window for competitors still cycling through pilots. The standard is being set now.
Watch our video to discover how the science of organizational change management – or OCM – can dramatically reduce the amount of time it takes for your workforce to rebound and for your company to realize the benefits of a project.
Then contact us to take the next steps.
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Enterprises that focus on improving collaboration inevitably face some employees who resist changes to the digital and physical components of the workplace. They dislike the idea of open workspaces and collaboration using video and chat. Overcoming resistance requires listening to employees throughout the transition and following a clear organization change management (OCM) plan.
S4/HANA can be beneficial when implemented right, but there are no easy enterprise-resource-planning (ERP) projects. Moving to S/4HANA holds special challenges because it often involves new ways of working.
In this report, learn how OCM programs can help you avoid or mitigate some of the most common challenges they face when converting to SAP S/4HANA, and why organizational change management increases the ROI in S/4HANA by reducing the time to value.
Organizations should consider ISG for OCM when they face large-scale transformations, such as mergers, acquisitions, large system transformations or significant process changes. We bring fresh perspectives, specialized skills, and experience in managing changes big and small. We help to navigate complex stakeholder dynamics and resistance, ensuring smoother transitions. With the integration of AI tools, we offer data-driven insights and predictive analytics to foresee potential challenges and measure the impact of change initiatives.
ISG brings knowledge and innovative training methodologies that may not be available internally. They can assess current training needs, develop tailored programs, and provide industry best practices. Our team has the latest AI expertise and can implement AI-driven training solutions, such as personalized learning paths, adaptive learning platforms, and virtual coaching, enhancing the efficiency and effectiveness of L&D programs.
AI significantly enhances outcomes by providing advanced analytics, automation, and personalized experiences. In OCM, AI tools can analyze organizational data to identify patterns, predict employee sentiment, and suggest targeted interventions. In L&D, AI can facilitate personalized learning experiences, track progress, and adapt content based on individual performance. This technology allows us to deliver more precise, data-driven strategies and recommendations.
We can help manage resistance by providing an impartial perspective, facilitating open communication, and addressing concerns transparently. We develop and implement comprehensive change management plans that include stakeholder engagement, communication strategies, and training programs. Leveraging AI, we analyze employee feedback, identify potential resistance hotspots, and tailor interventions to address specific concerns.
