AI Post

Big idea (the story) Autonomous AI agents — tools that can read your data, take actions, and complete multi-step tasks without constant human prompts — have moved from demos into real business use. Vendors and startups are rapidly packaging agents that connect to CRMs, calendars, email, and reporting systems to automate lead qualification, follow-ups, meeting […]

Quick summary – Over the last year we’ve seen a clear shift: businesses are moving beyond one-off chatbots to autonomous AI agents that can connect to calendars, CRMs, email, and BI tools and then act — not just answer. – These agents can research prospects, draft and send personalized outreach, update records, schedule meetings, and

Quick story Over the last year there’s been a clear surge in interest and pilots around autonomous AI agents — software that can follow instructions, call APIs, gather data, and take multi-step actions without a human typing every prompt. Companies are testing agents to triage leads, update CRMs, generate weekly performance reports, and automate parts

Quick story Autonomous AI agents — tools that combine language models, data connectors, and task automation — have moved from proofs-of-concept into real business use. What started as experimental “AutoGPT” style workflows is now being packaged into enterprise-ready agents that can research leads, enrich CRM records, draft personalized outreach, run recurring reports, and even trigger

Short summary AI “agents” — autonomous, task-focused AI that can search internal data, run actions, and follow multi-step workflows — have moved from labs into real business tools. Over the past year major vendors and startups have layered orchestration, security, and data connectors on top of large language models. The result: AI agents can now

Quick summary Over the past year we’ve seen AI agents — models that can call tools, run tasks, and act across systems — move from research demos to practical business tools. Cloud platforms and open-source frameworks now make it much easier to connect LLMs to CRMs, BI tools, calendars, and internal databases. That means AI

Story summary Leading AI platforms have moved from demo-stage chatbots to practical, autonomous “AI agents” that can carry out multi-step business tasks. Over the past 18 months major vendors released low-code agent builders and APIs that let companies automate work like lead qualification, routine reporting, order follow-up, and customer triage. That shift is making AI

Summary AI “agents” — autonomous, app-aware AI assistants that can run workflows, interact with tools, and complete end-to-end tasks — moved out of demos and into real business use in 2024–25. Companies are using agents to do things like qualify leads, draft and send personalized outreach, prepare weekly sales reports from multiple systems, and kick

Quick summary AI “agents” — autonomous software that can follow instructions, connect to your apps, run workflows, and take actions — have moved from experiment to everyday tool. Over the past year we’ve seen a surge in platforms and integrations that let agents: – pull CRM and finance data, – generate and send personalized outreach,

Short summary AI agents — autonomous AI assistants that can run tasks, make decisions, and talk to other systems — have gone from labs to real business pilots. Over the last year vendors and open-source projects released easier ways to build and orchestrate agents, and major cloud platforms added agent-friendly services. That combination is making