AI Post

Quick summary – What’s happening: A new wave of AI “agents” — models that act autonomously across apps, pull from company data, and complete multi-step tasks — is moving from experiments into real business use. Advances in multimodal models, connectors (APIs/plugins), and retrieval-augmented generation (RAG) make those agents practical for day-to-day workflows. – Why it […]

What’s happening Over the last year we’ve seen a rapid shift: autonomous AI agents — software that can carry out multi-step tasks with little human prompting — are moving from demos into real business use. Vendors and automation platforms are adding agent-style workflows that can chase leads, qualify prospects, generate reports, and trigger back-office actions

Quick story – Over the last 18–24 months, “AI agents” — LLM-powered assistants that can take multi-step actions, connect to apps, and automate decisions — moved from prototypes to real business deployments. – Companies are using these agents for sales outreach, customer service triage, automated monthly reporting, and routine back-office work (invoicing, reconciliation, approvals). –

Quick summary Microsoft’s Copilot Studio (announced at Build 2024) makes it much easier for companies to build customized AI “copilots” that connect to your internal systems — Microsoft 365, Power Platform, Azure services and more — and run actions (not just answer questions). Google, OpenAI and cloud providers are following the same pattern: low-code tools,

Quick summary Major AI vendors have pushed “agent-style” tools into the mainstream — think customizable virtual assistants that can run workflows, pull data from your systems, and draft reports without constant human prompts. These tools are no longer experimental: they’re being embedded into CRM, BI, and productivity suites so businesses can automate routine work end-to-end.

Quick summary A new wave of commercial AI agents and orchestration platforms is making it realistic for businesses to automate whole processes, not just single tasks. These agents can gather data from multiple systems, run analyses, update CRMs, generate reports, and even trigger follow-up actions — with humans supervising exceptions. Improved retrieval (RAG), tool use,

Big idea A growing wave of enterprise-ready AI agents can now connect to your CRM, ERP, email, and BI systems and do work — not just suggest it. That means AI that can draft outreach, update records, pull and summarize sales performance, and even trigger follow-up workflows automatically. For leaders, this is the move from

Story summary AI agents — autonomous, task-focused software that can read systems, take actions, and learn over time — are no longer just a tech demo. Over the last year many companies have moved agents out of R&D and into day-to-day operations. Examples you’ll see in the wild: agents that qualify leads in your CRM,

Short summary A new wave of enterprise-ready AI agents is moving beyond demos into real business use. These aren’t just chatbots — they’re autonomous or semi-autonomous systems that combine large language models, data connectors, and business rules to perform tasks like pulling sales reports, qualifying leads, drafting outreach, or automating approvals. Vendors and in‑house teams

Why this matters now AI agents — software that can act on your behalf, talk to systems, and complete tasks — are finally escaping the lab and showing real business value. Over the past year more companies have put agents into production to handle sales outreach, triage customer requests, generate recurring reports, and automate routine