Artificial intelligence (AI) is rapidly evolving, transitioning from simple chatbots to sophisticated, specialized agents integrated into business processes. Nexos.ai predicts that by 2026, companies will see a proliferation of these "AI interns," dedicated tools for specific tasks within teams. ## AI Agents: The New Colleagues These agents will not be generic assistants but tools configured for precise activities. For example, a human resources team might use agents optimized for resume screening, while a legal team could employ them to detect contract violations. Sales teams will be able to rely on agents integrated with their CRM systems. Payhawk, for example, reduced security investigation times by 80% by implementing the Nexos.ai platform in finance, customer support, and operations, achieving 98% data accuracy and cutting processing costs by 75%. ## Platform Consolidation and Centralized Management As the number of AI agents increases, fragmentation will become a problem. Companies will need to consolidate agents on shared platforms to reduce costs, improve security, and simplify management. This centralized approach will accelerate deployment and provide better oversight of spending and performance. ## AI Moves to the Business The management of AI agents will shift from engineering teams to the heads of various business functions. HR, legal, finance, and sales managers will be responsible for configuring their own agents, requiring intuitive platforms accessible even to non-technical users. ## Demand Will Outstrip Supply Once teams successfully implement their first agents, demand for similar systems will increase rapidly. To meet this demand, companies will need to adopt libraries of pre-built agents and reusable templates, avoiding the need to develop each agent from scratch. By the end of 2026, it is predicted that approximately 40% of enterprise software applications will integrate specialized AI agents, compared to less than 5% in 2024. The capacity to develop these agents will need to grow in parallel, making the adoption of centralized and reusable solutions essential.