Future-Proofing Public Sector Learning & Development (L&D) Operations
How will governmental entities continue to serve stakeholders with a shrinking workforce?
Advisory
Training and Learning Enablement
Navigating Major Shifts in Learning and Development
Training and Learning Enablement
Organizations now face one of the biggest transitions in the way humans work and learn since the Industrial Revolution. This digital and work-from-home shift has accelerated the move from traditional learning models to a more virtual, digitally enabled,
on-demand learning ecosystem. ISG provides a range of training advisory, content development, technology enablement, training delivery and learning managed services to help clients succeed in the modern digital workplace:
- Our global resources have helped train and support more than 5 million end users.
- We leverage our experience working with a broad array of clients to meet your needs around budget, resources, technology and business priorities to help you maximize the value of your learning investments.
- Our market analysis of learning managed-services providers and training technology (below) will help you find the best options to fit your unique needs.
Are you looking for our Organizational Change Management page?
The market has moved from ambition to accountability.
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.
What We Deliver
AI strategy, governance and intelligence, built for execution.
Autonomous Enterprise
Operations built for autonomous execution, not retrofitted for it.
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.
Autonomy-Level Pricing
Pricing that reflects how AI-enabled services are actually delivered.
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.
AI & Software Intelligence
Build-versus-buy decisions grounded in what AI is actually delivering.
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.
AI Governance
Governance that accelerates AI adoption rather than constraining it.
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.
AI Strategy
AI investment aligned to where impact is most achievable.
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.
AI Maturity Index
A clear view of where you stand and a roadmap to where AI starts delivering.
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.
The market today
Enterprise AI has moved out of IT and into the revenue line.
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.
Where enterprises are feeling the pressure
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Business outcomes are lagging AI ambitionEnterprises are scaling Al faster than they are realizing value from it. The number of use cases in production doubled between 2024 and 2025, yet only one in four initiatives is meeting revenue impact expectations, and broad cost savings remain elusive. At an average spend of $1.3M per use case, the ROI gap is sharpening board-level scrutiny and forcing a harder question: are we building Al for impact, or for activity?
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Data infrastructure exposing deferred investmentAl does fail in isolation. It fails on the foundations beneath it. Most enterprises are running modern Al on architectures built for reporting and compliance. Generative and agentic Al demand real-time contextually rich, governed data at the point of use. Without it, pilots stall and value dissipate before it reaches the business.
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The barrier to scale is organizational, not technicalOrganizational readiness as the bigger constraint on Al adoption, not talent or tooling. Workflows haven't been redesigned. Decision rights haven't shifted. Enterprises that treat Al as a pure technology deployment, without investing in the human side of adoption, consistently report underwhelming ROI.
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Agentic AI is outpacing governanceAs Al moves from generating outputs to executing tasks autonomously, the governance gap widens. Agentic Systems introduce a new class of risk that static compliance frameworks were never designed to catch. Governing what Al does, not just what it produces, is now a business-critical requirement.
Our Training Offerings
Training Optimization JumpStart
(Short-Term)
- Helps clients prioritize and accelerate training initiatives, selecting the right solutions, technologies, resources and providers
- Assists transitions to new systems, operating models and training models (virtual, asynchronous, etc.) to enable new skills and capabilities
- Delivers training output up to 75% faster while reducing costs an average 40%
Training as a Service (TaaS)
(Long-Term, Outsourcing)
- Provides training as an ongoing, outsourced managed service for organizations with limited resources and growing demand for training content
- Uses an agile approach and rapid content-development tools to accelerate training throughput by an average 54%
- Lowers training-development costs by an average 34%
Training Development Services
(Rapid Content Creation)
- Leverages agile methods, broad system and industry experience, and rapid training-development tools to reduce training creation time by an average of 50%
- Uses cutting-edge software to enable user adoption of new technologies, business processes and operating models
- Assists medium to large clients, including those with large, geographically diverse audiences
We advise on and implement state-of-the-art TRAINING SOLUTIONS, including: Assima, SAP Enable Now, uPerform, Opus, Whatfix, Articulate Storyline, Adobe Captivate, Virtual Instructor-Led Training (VILT), Artificial Intelligence (AI), and Augmented Reality (AR)/Virtual Reality (VR).
We help your workers train for ENTERPRISE SYSTEMS, including: ServiceNow, Salesforce, Workday, SAP, Infor and Oracle.
Top 10 Reasons to Consider Outsourcing Training
 | 1. Leveraging the Cost of Technology |
 | 2. Realizing Training Is Not Core to Your Business |
 | 3. Generating Revenue |
 | 4. Mitigating Risk |
 | 5. Improving Scalability of Resources |
 | 6. Leveraging Channel Relationships |
 | 7. Boosting Speed to Market |
 | 8. Increasing Geographic Reach |
 | 9. Improving Access to Talent |
 | 10. Reducing Costs |
As many companies look to shrink and stabilize their budgets, they may overlook an easy way to save money and still maintain effectiveness in the critical area of training. It’s imperative to have a good training staff at your organization, but
you also want to make sure you don’t have more full-time positions than required as training needs ebb and flow. A relatively new way to handle this involves managed services that support training design, development and deployment.
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Research
The Power of Collaboration in the Workplace
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.
Research
Avoid the Pitfalls in S4/HANA Implementation with OCM
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.
Click below to learn more about our related organizational change management solutions.
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