Shared Services AI in Business Processes: 2026 Priorities for Adoption and Control Shared services AI in business processes needs two things at the same time in 2026: adoption and control. Teams will not create value from AI that employees avoid, but they also cannot scale systems that produce untraceable decisions, use the wrong data, or [...]
Read MoreHow AI Is Shaping the Future of Business Decision Support Systems Business decision support systems are moving beyond static dashboards and scheduled reports. AI can now help leaders surface anomalies, summarize drivers, predict likely outcomes, retrieve supporting evidence, and route exceptions to the people responsible for action. The opportunity is significant, but the future of [...]
Read MoreDesigning GenAI Programs: Advanced Priorities for Business Leaders Designing GenAI programs at enterprise scale requires more than identifying promising use cases. Business leaders must decide where AI should sit in the operating model, which decisions remain human-owned, how source data will be trusted, and what happens when outputs are uncertain. Those choices determine whether GenAI [...]
Read MoreBusiness Operations With NLP and LLMs: Choosing the Right Use Cases Business operations with NLP and LLMs can create value when language is a genuine source of friction: requests arrive as free text, documents must be interpreted, notes need to be summarized, or employees spend time searching across knowledge sources. The challenge is that many [...]
Read MoreGenAI in Business Operations: Practical Examples for Beginners Generative AI can be useful in business operations, but the practical starting point is smaller than many transformation programs assume. Leaders do not need to begin with an autonomous agent or a company-wide assistant. A better first step is to identify repetitive information work where employees already [...]
Read MoreWhat Comes Next for Free AI Assistants in Enterprise Copilot Rollouts Free AI assistants often enter the enterprise from the bottom up: employees test drafting, summarization, search, and other conversational tasks before a formal copilot program exists. What comes next should not be a simple expansion of access. Organizations need to decide which experiments become [...]
Read MoreGetting Started With ChatGPT GenAI: What Scalable Deployment Requires Getting started with ChatGPT GenAI is easy at the individual level and much harder at enterprise scale. The gap appears when a useful chat experience has to become a dependable service with approved data, identity, workflow integration, quality evaluation, exception handling, and support. Leaders who treat [...]
Read MoreFuture of AI in Business: What AI Program Leaders Should Plan for Next AI program leaders are moving into a phase where the hard question is no longer whether artificial intelligence belongs in the business. The harder question is which AI capabilities deserve operational authority, which data they may rely on, and how the organization [...]
Read MoreBusiness Decision Support Systems: What the Future of AI Means for Leaders Business decision support systems are entering a new phase as AI moves from separate experiments into the reporting and operational tools leaders already use. The change is not simply that dashboards will have chat interfaces. AI can help prioritize exceptions, forecast outcomes, explain [...]
Read MoreEnterprise GenAI Programs: What Business Leaders Need Beyond the Pilot Enterprise GenAI pilots can look convincing because they are narrow, supervised, and protected from much of the variability found in production. A small group uses curated data, business experts are available to correct problems, and exceptions are handled manually. Business leaders evaluating enterprise GenAI programs [...]
Read More