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AI agents

Articles grouped by business problem, industry, and system type.

AI Assistant on Telegram and WhatsApp: A Personal Agent in 2026 (from €1,200 net)

An AI assistant on Telegram or WhatsApp is not a separate product, it is a channel through which you receive a personal agent's work: a morning briefing, research results, a draft reply to approve. The messenger is the interface, the value is the agent behind it. Built as a service, it starts from €1,200 net.

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AI Meeting Notes to Action Items in 2026: From Transcript to Tasks in Your Systems

Automatic meeting notes are best bought off the shelf: transcription and summaries built into Teams and Meet, or a dedicated AI notetaker, are a good purchase and we say so plainly. Our work begins where the note has to become a task in Jira, a follow-up in your CRM, or a decision in a register, with a rule for what is created automatically and what waits for approval. You start with a free process scan.

Automated Follow-Up and a CRM That Fills Itself: How to Stop Losing Leads in 2026 (from €3,500 net)

Leads go cold in the gap between the inquiry and the first reply, and the CRM stays empty because nobody wants to update it after a call. One system closes both ends: a first reply drafted in minutes instead of days (a human approves anything that commits) and a record that fills itself from mail, calendar, and forms. Automation from €3,500 net, and you calculate the numbers on your own. You start with a free process scan.

Do AI Agents Actually Work? Opinions and Practice in 2026

Do AI agents actually work? Yes, in a narrow, well-measured scope with boundaries and a trail. No, as the magical worker from the ad. Skepticism is justified: most 'AI agents' on the market are chatbots in new packaging. This piece gives you a tool to tell a working deployment from a dead demo.

Document Workflow Automation for a Small Business in 2026 (from €3,500 net)

A small business does not need a hundred-thousand-euro DMS. It needs three things: documents landing in one place, a clear approval path, and an archive you can actually search. Sometimes a naming convention and a simple workflow in a tool you already own is enough. AI-built automation starts from €3,500 net. You start with a free process scan.

Does My Company Need AI? A 10-Question Test (2026)

Does your company need AI? Instead of guessing, take a 10-question yes/no test in three blocks: process, numbers, organization. The score tells you plainly whether AI pays off now, which process is a candidate, and when the honest answer is not yet. You start with a free process scan.

Hermes Agent: What Is It? A Guide (2026)

Hermes Agent is an open-source (MIT) personal AI agent by Nous Research, created in July 2025. Its signature trait is the self-improving skills loop: it creates skills from its own experience and remembers across sessions. It runs on a server from about 5 USD a month, on any model, and talks to you on the channels you already use. It is a tool, not a ready-made guarantee of safety.

Multi-Agent Systems: AI Agent Orchestration in 2026

A multi-agent system is several specialized agents passing work to each other under an orchestrator. It genuinely helps with parallelism, per-stage specialization, and permission isolation, but it is a complexity multiplier: errors propagate, token costs rise, debugging is harder. Most companies need one well-built agent first. You start with a free process scan.

RPA vs AI Agent: The Differences and What to Choose in 2026

RPA and an AI agent are not the same thing. RPA is a software robot that replays clicks in user interfaces, good where there is no API and the process never changes. An AI agent reads content and decides within boundaries. Between them sits plain API automation, often the cheapest and enough. You start with a free process scan.

Who Is Liable for AI Agent Decisions? Accountability in 2026

Who is liable for an AI agent's decisions? Toward your customer and the law, the company that deploys the agent is liable, not the model and not the model vendor. \"The AI made a mistake\" is not a defense. Since the liability is yours, you need an architecture of accountability: boundaries, an audit trail, escalations, and least privilege.

Why Do AI Projects Fail? Causes of Failed Implementations 2026

Why do AI projects fail? Because the loudest failure numbers (40%, 50%, 95%, 42%, 80%) measure entirely different things, and the panic comes from mixing them. One table sorts the sources and scopes, then the real causes, then the moment when abandoning a project is not failure but governance working as intended.

AI Agent Glossary: 25 Terms Sellers Conflate, in Plain Language (2026)

An AI agent, in plain language, is a system that performs work within boundaries, not one that only answers questions like a chatbot. A glossary of 25 terms sellers conflate: agent vs chatbot vs copilot, agent washing, MCP, RAG, human-in-the-loop, tokens. One difference sets the budget: an agent that runs a process from €6,000 net, a chatbot a fraction of that.