Summary AI agents — autonomous combinations of large language models, data connectors, and action tools — have stopped being just developer experiments and are showing real business value. Over the last 18–24 months we’ve seen more reliable frameworks, enterprise copilots, and pre-built connectors to CRMs, help desks, and BI tools. That means AI agents are […]

Quick summary AI “agents” — autonomous or semi-autonomous AI that can interact with tools, data, and people to complete tasks — moved from lab experiments into real business use in 2024. Between custom GPT-style assistants, tool-enabled agents that can call your CRM or BI system, and low-code agent frameworks, companies are now using AI agents

What’s happening Autonomous AI agents — software that can plan, act, and follow up with little human supervision — moved fast from tech demos into real business use in 2024–25. Companies are using agents to run repetitive sales tasks, generate and maintain reports, triage customer requests, and stitch data across systems. Improvements in retrieval-augmented generation

Quick summary Autonomous AI agents — AI systems that can act, decide, and run multi-step tasks with minimal human input — are moving out of labs and into real business use. Major platforms now make it possible to build custom agents that connect to CRMs, data warehouses, email, and internal tools. That means companies can

Big picture AI agents — autonomous, task-focused AI that can read systems, take actions, and update records — moved from labs into real business pilots in 2023–24. Companies are using them to qualify leads, generate and send proposals, refresh dashboards, and run recurring reports without manual handoffs. That shift is less about flashy demos and

Short summary AI agents — automated assistants that can read your data, take actions across apps, and follow up with customers — are moving from experiments into real business use. Teams are now using agents for tasks like qualifying leads, drafting personalized outreach, summarizing meetings, and automating routine workflows. That makes AI agents one of

AI agents: a practical playbook for business automation and reporting Quick summary Autonomous AI agents — tools that can plan, execute multi-step tasks, call APIs, and learn from feedback — have moved from research demos into real business pilots. Companies are using agents to triage leads, automate routine customer replies, assemble weekly sales reports, and

Quick summary AI “agents” — autonomous or semi-autonomous software that can take multi-step actions (schedule meetings, draft and send sales outreach, generate monthly reports, triage support tickets) — went from experimental to enterprise-ready in 2024–25. More vendors and platforms now offer agent-building tools, and companies are moving beyond point AI features to deploy agents that

Short summary AI “agents” — autonomous assistants that can plan, act across apps, and complete multi-step tasks — have moved quickly from demos into real business use. Companies are using agents to draft and send sales outreach, qualify leads, automate recurring reports, and even triage customer issues. The result: faster decisions, fewer manual steps, and

Quick summary AI “agents” — autonomous assistants built on large language models that can call APIs, read files, and carry out multi-step tasks — have moved from experiment to practical tool for businesses. Instead of a person asking a model one question at a time, agents can run a workflow end-to-end: gather data, update a