Quick summary – The EU has adopted one of the first comprehensive laws for artificial intelligence. It classifies certain AI uses as “high-risk,” introduces transparency rules for generative systems, and places duties on both providers and deployers of AI. – That means businesses using AI agents, automation, or AI-powered reporting need to rethink procurement, risk […]

Summary AI “agents” — software that can act on your behalf (think: qualify leads, schedule meetings, update CRM records, or generate weekly reports) — are no longer just lab experiments. Major platforms now offer easy ways to build and deploy agents that connect to your data and tools. Companies are using them to automate repetitive

Quick summary AI “agents” — autonomous or semi-autonomous AI that can carry out multi-step tasks — are no longer just research demos. Low-code/no-code agent builders and tighter integrations with CRMs, data warehouses, and reporting tools are making it practical for companies to automate sales outreach, generate routine reports, and run end-to-end workflows (e.g., lead qualification

Quick summary Over the past year we’ve seen AI agents — autonomous software that can carry out multi-step tasks — move out of demos and into real business use. Big platform vendors (Copilot-style integrations, agent frameworks) plus a wave of startups have made it easier to connect agents to CRMs, data warehouses, scheduling systems, and

Quick summary AI “agents” — large language models that can act on your behalf by calling apps, running code, and completing multi-step tasks — are no longer just experiments. Major cloud and AI vendors and open-source tools now let agents connect to CRMs, calendars, email, databases, and reporting tools. That means an AI can not

Summary AI “agents” — autonomous, task-focused AI that can act across apps, pull data, and complete multi-step workflows — are moving from labs into real business use. Big cloud vendors and startups are embedding agent features into copilots, workflow tools, and reporting platforms. That means AI can now do things like qualify leads, generate weekly

Quick summary A new wave of autonomous AI agents — systems that can plan, act across apps, use tools, and follow multi-step workflows — is reaching business users. These agents can do things like draft outreach sequences, triage customer tickets, pull together weekly sales reports, or run parts of invoice processing without constant human prompts.

Quick summary AI agents — autonomous, task-focused AI that can research, draft, and act across apps — are no longer just a tech demo. Over the past year we’ve seen more off-the-shelf agent frameworks, plug-and-play connectors to CRMs and BI tools, and enterprise vendors bake “agent” features directly into workflows. That means businesses can now

Quick summary There’s a clear shift: AI agents — goal-directed systems that act across tools, data, and workflows — have moved from research demos into real business pilots. Frameworks and enterprise copilots now make it easier to connect models to CRMs, databases, calendars, and reporting tools. That means AI can do more than draft text:

Quick summary AI agents — autonomous software that can chain together tasks, use tools, and act on behalf of users — are moving from experiments into real business use. Companies are now piloting agents to manage parts of the sales cycle (researching leads, drafting outreach, scheduling meetings), automate recurring workflows, and generate up-to-date reports that