AI Post

Short summary AI agents — small, focused systems that use large language models plus automation (connectors, APIs, RPA) to perform end-to-end tasks — moved rapidly from labs into real business use in 2023–2024. Companies now use them for things like prospect research, lead qualification, automated reporting, and first-pass customer triage. The result: faster workflows, more […]

What’s happening – Over the past year vendors and startups have shifted AI agents from experiments to production-ready tools. Modern agents can connect to CRMs, calendars, document stores, and ticketing systems to take actions (book meetings, qualify leads, run reports) — not just answer questions. – Companies are using these agents to automate repetitive sales

Quick summary Major AI platforms and enterprise tools are moving from demos to day-to-day work: “AI agents” — autonomous, task-focused AI that can fetch data, take actions across apps, and generate outputs — are now embedded in productivity suites and stand-alone tools. That shift makes it practical (and affordable) for teams to automate routine work

Big picture summary AI agents — software that can act autonomously on your behalf (for example: read your CRM, draft outreach, schedule follow-ups, and update reports) — are moving from R&D labs into everyday business tools. Over the last year, cloud and AI vendors have released easier ways to build custom agents that safely connect

Summary AI agents — autonomous, task-focused AI that can read documents, query systems, and take actions across apps — have shifted from R&D demos into real business deployments. Over the past year vendors and platforms focused on agent orchestration, secure connectors, and fine-grained controls. The result: companies can now reliably automate end-to-end tasks such as

Quick summary AI “agents” — software that performs tasks autonomously (think: qualify leads, write meeting summaries, update CRM records, and generate reports) — have moved from labs into real business pilots. Over the last year, major vendors and startups have released agent frameworks and prebuilt connectors so these systems can plug into CRMs, calendars, and

Quick summary – What’s happening: In 2024 we’ve seen a clear shift — “AI agents” (autonomous tools that complete multi-step tasks) are no longer just experiments. Major vendors and startups are shipping agent features and toolkits that make it easy to plug AI into day-to-day workflows. – Why it matters for business: Agents can handle

Quick summary – What’s happening: Over the last year, “AI agents” — autonomous or semi-autonomous AI assistants that combine large language models with connectors, rules, and workflows — have moved from experiments to production-ready tools. Vendors and low-code platforms now make it easier to build agents that draft emails, qualify leads, update CRMs, generate reports,

Quick summary – The big trend right now is the rapid rise of AI agents: small, task-focused AI systems that can connect to your tools, gather data, take actions, and hand off results. – Cloud vendors and startups are shipping low‑code/no‑code agent builders and connectors so non‑engineers can create automated workflows that touch CRMs, help

Short summary AI agents — autonomous software that can read, act, and make decisions across apps — have moved from experiments to real business pilots. Modern agents can triage leads, draft personalized outreach, pull and summarize sales data, and trigger cross-system actions (update CRM, create a ticket, schedule a call) without a human doing every