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Agentic AI Simply Explained: Definition and SignificanceAgentic AI simply explained: How agentic systems pursue goals, accomplish work, and remain controllable through rules, limits, and approvals.
AI agent or traditional workflow automation: which fits your process?Compare fixed workflows and AI agents using one customer order. Discover which work you can delegate and how to test the approach that fits your business.
AI agent vs. chatbot: the difference explainedCompare chatbots and AI agents using a concrete task: check results, access, context and control, then choose an appropriate starting point.
AI Agent with Company Data: Without Context, No Good AgentWhy an AI agent only works well with company data, what data it needs, and why data silos are the biggest obstacle.
AI Agents: 7 Examples from Business RealitySeven concrete examples of technological workforce: phone reception, document work, automations, drafts, coding sessions, and more.
AI Employee: What the Term Really MeansWhat an AI employee is, what it realistically can do, where the term is marketing, and what onboarding a digital employee looks like.
Automating AI workflows: which office processes are worth starting with?Choose an AI workflow that genuinely reduces office work, using three worked examples, a practical task brief and a clear assessment of the time you gain.
Automating Tasks with AI Agents: What's RealisticWhich tasks AI agents can automate today: recurring workflows, deadline detection, summaries – and where humans decide.
Controlling AI Agents: Steerability Instead of Flying BlindHow to make AI agents controllable through mandates, policies, limits, budgets, and risk-based intervention points while retaining final authority.
Creating an AI Agent: what you really need (and what you don't)Create an AI agent without a developer team: five steps from task through data and directives to approvals – and when a platform makes sense.
Deploying an AI Agent in your business: how to get it rightIntroduce AI agents in your business: organize your data foundation, choose a clearly limited mandate, establish policies and success criteria, and expand incrementally.
What does an AI agent cost? Budget per usable outcomeCalculate setup, usage, review and rework for an AI agent, with a hypothetical pilot covering 40 cases and 32 usable outcomes.
What is an AI Agent? Definition and How It WorksAI Agent explained simply: how agents with mandate, tools, memory, policies, and risk-based approvals independently handle task areas.

Knowledge & guides

Buying leads & winning customers

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Fundamentals & practice