Tech News from Zoe

Business stakeholders expect procurement processes to be straightforward, responsive and aligned with their operational requirements. However, purchasing can involve multiple systems, approval steps and policy requirements that are difficult for occasional users to navigate. Procurement professionals may also spend substantial time clarifying requests, identifying suppliers and routing work. AI in procurement can help simplify these…

Financial plans establish expectations for revenue, costs, cash and investment, but actual business conditions rarely remain unchanged throughout the planning period. Finance teams must continually interpret performance, evaluate deviations and support management decisions. Yet fragmented information and lengthy reporting cycles can delay this work. AI in finance can help connect planning with execution by identifying…

Supply chains operate in an environment where demand shifts, supplier constraints, transportation disruptions and changing costs can quickly affect business performance. Resilience therefore depends on more than responding effectively after disruption occurs. Organizations need earlier visibility into potential problems, a clearer understanding of their business impact and the ability to evaluate alternative responses quickly. AI…

Payroll technology has automated many calculations and routine transactions, but payroll teams can still spend significant time validating information, investigating exceptions, answering employee questions and coordinating activities across systems. Automating another individual task may deliver incremental efficiency without addressing these broader workloads. AI in payroll creates a larger opportunity to redesign the end-to-end process so…

Procurement organizations have access to more information than ever across spend, suppliers, contracts and external markets. The challenge is turning that information into decisions quickly enough to influence business performance. Professionals can spend substantial time collecting, categorizing and interpreting data before strategic work begins. AI in procurement can reduce this burden by converting fragmented information…

Finance organizations are expected to improve productivity while providing faster, more forward-looking insight to the business. Artificial intelligence creates new opportunities to meet both demands. From forecasting and reporting to transaction processing and exception management, AI in finance can reduce routine work and increase the capacity available for analysis and decision support. The larger opportunity,…

Artificial intelligence makes it relatively easy to demonstrate an impressive new capability. The harder question is whether that capability can improve the way an organization actually operates. An AI Pilot provides a controlled environment for answering that question before significant resources are committed to broader deployment. The strongest pilots go beyond proving that a model…

Organizations have spent years automating repetitive activities through workflows and rules-based technologies. Generative AI expanded those possibilities by helping employees create, summarize and analyze information. AI agents take the next step: They can work toward defined goals, determine appropriate next actions and interact with authorized systems to complete multiple activities. This creates an opportunity to…

Artificial intelligence has become an important investment priority as organizations look to improve productivity, strengthen decision-making and transform business processes. Yet growing interest in AI also creates a difficult question for executives: where should capital and resources be directed? Effective AI investment requires more than funding new technologies. Organizations need to evaluate business value, implementation…

Early AI initiatives often focus on immediate productivity improvements: faster research, automated document processing or reduced administrative effort. These benefits can demonstrate potential, but enterprise AI requires a broader value perspective. As organizations expand AI across functions and processes, they must understand whether returns remain attractive after accounting for integration, governance, data and scaling costs.…