Ron Mitchell

The story in one line There’s a clear shift this year: autonomous AI agents and smarter generative reporting are moving from pilot projects into everyday business operations. Companies are using agent-driven automations for sales outreach, scheduling, data cleanup, and automated performance reporting — not just proof-of-concepts anymore. Why this matters for your business – Faster […]

Quick summary – What’s happening: More companies are deploying AI agents — autonomous, tool-enabled AI that can use your CRM, send emails, generate reports, and follow rules — to handle routine sales and reporting work. – Why it matters: These agents cut manual work, speed up deal cycles, and deliver near-real-time insights without hiring more

Quick summary The EU has moved from debate to regulation: the EU AI Act creates a legal framework that assigns rules based on risk. High‑risk AI systems (hiring, credit scoring, safety systems, biometric ID, critical infrastructure) face the strictest requirements: risk management, technical documentation, testing, logs for auditing, human oversight, and conformity assessments. The law

Quick summary AI agents — customizable, task-focused AI “workers” that can read your CRM, run reports, draft emails, and take actions — have moved from experiments to production-ready tools. Platforms now let non-developers spin up agents that connect to common systems (CRMs, calendars, BI tools) and follow business rules. That shift makes it possible for

Summary AI “agents” — software that can act autonomously to research, write, book, and follow up — have moved from labs into real work teams. Over the last year we’ve seen more platforms and tools that let an agent log into systems, pull data, create messages, and complete multi-step processes without constant human prompting. That

Summary AI agents — autonomous, tool-enabled assistants that can act on your behalf — are no longer just research demos. Over the past year, major platform vendors and enterprise teams have pushed agents into production for tasks like personalized outreach, lead qualification, 24/7 customer follow-up, and automated monthly reporting. The result: faster workflows, fewer manual

Story summary AI agents — software that can act autonomously, chain tasks together, and interact with systems or people — have moved quickly from experimental demos into real business pilots. Over the past 12–18 months more companies have deployed agents for lead qualification, customer triage, sales outreach, and automated reporting. The trend is driven by

Quick summary There’s been a rapid rise in practical AI agents — not just chatbots, but autonomous assistants that connect to CRMs, calendars, and BI tools to complete tasks: generate weekly pipeline reports, triage leads, draft follow-up emails, and even schedule meetings. Major platforms and new agent-builder tools are making it easier for businesses to

Quick summary AI agents — purpose-built, persistent software that can plan, act, and connect to your systems — are moving from labs into everyday business use. Recent advances in multimodal models, better memory, and low-code connectors mean companies can deploy agents that handle sales outreach, run regular executive reporting, manage routine approvals, and triage customer

Short summary Autonomous AI agents — software that can take multi-step actions across apps (think: draft outreach, update CRM, pull numbers, and produce a report) — have moved from experiments to practical tools. Major vendors and startups are embedding agent-style features into chat assistants, reporting tools, and automation platforms. That means businesses can offload repetitive,