Short summary AI agents — autonomous, task-focused systems that combine large language models with triggers, memory, and API connections — have moved from experiments into real business use. Enterprises are now embedding agents into sales, customer service, and reporting workflows to qualify leads, automate follow-ups, generate regular reports, and run simple decision tasks without constant […]

AI story (short summary) Autonomous AI agents — software that can plan, act, and follow up across systems without constant human prompts — are crossing a tipping point. What used to be experiments in R&D labs is now being used by sales, operations, and finance teams to do real work: draft outreach, book meetings, reconcile

Short summary Over the past year we’ve stopped talking about “can AI do this?” and started seeing AI agents actually run parts of the business — from drafting sales outreach and triaging customer support tickets to generating recurring reports and orchestrating simple workflows across apps. Major vendors and low-code platforms now offer agent frameworks and

AI story (short summary) AI “agents” — small, task-focused AI assistants that can access company tools and data, take actions, and run multi-step workflows — have gone from experimental demos to real business deployments. Sales teams are using agents to triage and qualify leads, customer service teams to resolve routine tickets, and operations teams to

Short summary AI agents — software that can act on your behalf, chain tasks together, and pull answers from your data — have moved from demos to real business pilots. Major platforms and startups now offer agent frameworks and integrations with CRMs, databases, and BI tools. That means teams can automate multi-step work (like lead

Summary AI “agents” — autonomous, task-focused AI that can read systems, take actions, and follow rules — are moving from tech demos into real work. Over the last 18 months, major platforms and low-code tools have made it easier for companies to build agents that do things like draft and send personalized outreach, assemble weekly

Short summary AI “agents” — small, goal-driven systems that can fetch data, run rules, write summaries, and take actions — are moving from labs into real business tools. You’ve probably seen early examples in BI and CRM products (think Power BI/CRM copilots and vendor-built agents). More companies are now using agents to automate routine work:

Short summary The EU’s AI Act — recently finalized and now moving into implementation — changes the rules for how companies build, buy, and run AI systems. It doesn’t ban tools; it sets risk-based requirements around safety, transparency, data handling, and human oversight. For businesses using AI agents, automated workflows, or AI-powered reporting, the law

Quick summary Major vendors and adopters are shifting from demos to production: AI agents — autonomous systems that can read your data, take multi-step actions, and talk to customers or systems — are being embedded in CRMs, ERPs, and reporting tools. That means businesses can automate full workflows (lead qualification, account playbooks, recurring reports) instead

Quick story summary AI agents — autonomous, goal-driven software that can read, act, and learn across apps — have shifted from flashy demos to practical deployments. Companies are using agents to run outreach sequences, triage customer requests, generate weekly reports, and automate repetitive back-office work. Platform vendors and toolmakers have made agent frameworks and connectors