AI Post

Short summary Major AI platforms have made it easy for businesses to build custom AI agents — “copilots” that connect to your CRM, knowledge base, and workflows to act on behalf of teams. Instead of one-size-fits-all chatbots, these agents can research prospects, draft tailored outreach, generate automated reports, and trigger approval or fulfillment steps — […]

Short summary AI agents — software that can take multi-step actions for you (think: research a lead, draft a tailored outreach email, and book a demo) — have moved from experiments into production across sales, operations, and reporting. Major platforms now provide agent frameworks and easier ways to connect them to company data, so teams

Quick summary – Over the past year, agentic AI — customizable, autonomous assistants that connect to email, calendars, CRMs, and internal data — moved from demos into real business use. – Vendors now offer low-code agent builders and “agent marketplaces,” letting teams create role-based assistants (sales rep, finance analyst, customer success) that can qualify leads,

Short summary AI “agents” — software that can carry out multi-step tasks on its own — are moving from labs into real business use. Big vendors and startups now offer low-code tools to build agents that can, for example, pull data from your CRM, summarize customer interactions, draft outreach, and update records without constant human

Summary – What’s happening: Companies are moving from experiments to real deployments of autonomous AI agents — software that can act across apps (CRM, email, calendar, BI tools) to complete tasks end-to-end. Use cases include automated lead qualification, scheduling, running and annotating sales reports, and triaging support tickets. – Why it matters for business leaders:

Quick summary – Over the past year we’ve seen a clear shift: AI agents — autonomous systems that can act on your behalf (qualify leads, schedule meetings, generate reports, follow up) — are moving out of labs and into real business workflows. – These agents combine large language models, retrieval-augmented workflows, and API integrations so

Quick summary Over the past year, more companies have started using AI agents — purpose-built software that combines language models, business rules, and connectors to other systems — to automate real work. These agents can do things like qualify sales leads, assemble weekly performance reports by pulling CRM and BI data, and execute parts of

Quick summary A new wave of enterprise-grade AI agents — systems that can read your data, act across apps, and complete multi-step tasks — is moving into the mainstream. Vendors and startups are shipping connectors to CRMs, ERPs, and cloud storage; they support retrieval-augmented generation (RAG) for secure access to company data; and they include

The story — short and timely In 2024 more companies and platforms rolled out “AI agents” — customizable, task-focused assistants you can train to act on your data, run workflows, and communicate with people and systems. Tools like OpenAI’s custom GPTs, agent frameworks (LangChain-style), and vendor copilots made it much easier to build agents that

Quick summary AI “agents” — models that can carry out multi‑step tasks on their own — are moving from labs into everyday business tools. Instead of just answering questions, these systems can research leads, draft outreach, update CRMs, and build weekly performance reports with little human prompting. That shift is making AI less of a