AI Post

Summary A new wave of AI agents — systems that can read your data, take actions across apps, and carry out multi-step workflows — is moving from labs into the boardroom. Major vendors and toolmakers now offer agent builders and secure connectors that let these agents access CRMs, calendars, ticketing systems, and reporting engines. That […]

Quick summary – What’s new: In 2024–25 the market shifted from “LLMs as chat” to goal-driven AI agents — systems that take actions across apps (CRM, email, calendars, BI tools) instead of only answering questions. – Why it matters for businesses: Agents let teams automate repetitive work (prospecting, follow-ups, invoicing), produce faster, more accurate reports,

What’s new OpenAI and other vendors made it easy in 2024 for companies to build custom AI agents—sometimes called “GPTs” or enterprise agents—that connect to your data, tools, and workflows. These agents can answer questions about internal documents, generate sales outreach, produce automated reports, and trigger simple actions in CRMs or ticketing systems. Why this

Quick summary Over the last 12–18 months the AI market shifted from “general-purpose LLMs” to practical, task-focused AI agents. Businesses can now assemble lightweight agents that combine a company’s documents, CRM data, and automation tools with a foundation model. These agents use retrieval-augmented generation (RAG) and connectors to answer questions, draft outreach, automate workflows, and

Quick summary AI “agents” — software that can carry out multi-step tasks on its own — moved from experiments into real business pilots in 2023–24. These agents combine large language models with company data, workflows, and APIs to do things like prospect for leads, generate weekly sales reports, or triage customer requests without constant human

Summary AI agents — software that autonomously completes tasks by combining language models, data access, and action tools — have moved from lab demos to real business pilots. Companies are already using agents to qualify leads, summarize customer threads, update CRM records, generate weekly reports, and route exceptions to humans. The result: faster work, fewer

Quick summary Autonomous AI agents — not just one-off chatbots — are moving from labs into real business use. Major platforms and a wave of new tools now let companies deploy agents that act on behalf of teams: they gather data, trigger workflows, draft emails, reconcile transactions, and generate reports automatically. That shift makes AI

Quick story In the past year we’ve seen a fast shift: “AI agents” — like custom conversational bots and task-runner agents — moved from demos into real business tools. Major platforms now let companies build, publish, and connect agents to internal systems (CRMs, databases, calendars). That means an agent can do multistep work: qualify leads,

What’s happening – AI “agents” — software that combines large language models with tools, connectors, and decision logic — are moving from research demos into real business use. – Low-code agent builders and orchestration frameworks (think LangChain-style patterns and vendor toolkits) make it possible to connect models to your CRM, spreadsheets, BI tools, and ticketing

Quick summary AI agents — autonomous, task-focused assistants that can read your systems, take actions, and talk to people — are no longer just experiments. Over the past year we’ve seen major vendors and startups push agents into real business apps: they can draft outreach, pull live sales metrics, open tickets, and summarize meetings automatically.