Practical writing on AI agents, LLM applications, and workflow automation for teams deciding what is worth building before they commit to code.
AI implementation in a B2B trading or wholesale company starts not with an agent but with email orders, stock queries, and price lists. Automating one process runs from €3,500 net, an agent that runs the process from €6,000 net. You calculate ROI on your own numbers. The first step, a process scan, costs €0.
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.
AI training for accountants teaches your practice four things on your own documents: summarizing and classifying documents, correspondence with clients, describing non-standard events, and working in the KSeF era, with a hard boundary: numbers come from your accounting systems, never from the model, and a licensed person signs off filings. At Syntalith this is a closed workshop from €1,200/day net, run by engineers.
AI training for executives is not a prompt course, it is decision literacy: what to buy and what not to, how to read offers and spot agent washing, how to set a success metric, an owner and a shut-down point, and how to work with AI yourself within data boundaries. At Syntalith engineers with systems in production run it, from €1,200/day net, with scope tailored to the board.
HR is the role where AI is used most and regulated hardest. Good AI training for HR teaches one thing above prompts: where assistive use ends (drafts, summaries, candidate communication) and high-risk territory begins (candidate ranking and selection) under Annex III of the AI Act. At Syntalith we run it from €1,200 net per day, for a group of up to ~15 people.
AI training for a marketing team teaches four things on your real content: drafts in the brand voice, repurposing one piece into channel formats, campaign research and briefs, and reporting on results. Each task comes with a hard boundary: publishing without human editing is banned, because AI slop in brand content is a reputational risk. At Syntalith it is a closed workshop from €1,200 net per day, run by engineers.
AI training for a sales team teaches reps four things on your real pipeline: researching a prospect before a call, a first draft of the quote and follow-up in the company's voice, meeting notes straight into the CRM without retyping, and first-pass qualification of inbound requests, each with a boundary for what may be sent and pasted. At Syntalith it is a closed workshop from €1,200/day net, run by engineers.
AI training that actually changes how a team works has three parts: an audit of what the team really does, a closed workshop on your real tasks and tools, then follow-up and a written way of working. At Syntalith it is run by engineers with systems in production, from €1,200 net per day. The AI-Native course for developers is priced after a call.
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.
You can assemble a management report automatically when the numbers live in systems you can connect to: CRM, ERP, spreadsheets, inbox. The automation pulls the data, reconciles the sources, drafts the report, and flags discrepancies, while a human signs off. Cost from €3,500 net, and the first step, a process scan, is free.
Integrating ChatGPT or Claude with your business systems is three different purchases: a ChatGPT Team subscription, a thin API integration, or a full AI app with ERP/CRM integration. For most teams the right first purchase is the subscription. A dedicated app with integration starts from €6,000 net. You start with a free process scan.
Claude vs ChatGPT for business, GPT vs Gemini for enterprise: this is the most reversible decision in the whole implementation, as long as the architecture is model-agnostic. Rankings go stale in weeks, criteria outlast versions. You choose on data policy, ecosystem, and your own tests, not on someone else's benchmark, and you start with a free process scan.
Looking for a company AI policy template? A copied template is exactly what fails. A working policy is short, specific to your real tools and data, and enforced. Employees already use AI, usually on private accounts, so a blanket ban just makes it invisible. See what an employee AI policy actually needs to contain.
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.
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 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 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.
Is ChatGPT safe for company data? It depends on the account and the data class, not on the tool itself. On a business plan with a data processing agreement, the vendors do not train models on your data by default, and a private account gives you no contract and no control. See which data you may enter and which you never should.
MCP (Model Context Protocol) is an open protocol that standardizes how AI models connect to tools and data. Anthropic created it and open-sourced it in November 2024, then donated it on 9 December 2025 to the Agentic AI Foundation under the Linux Foundation. Every major client supports it. We explain what it changes for a company and where the protocol ends and your deployment work begins.
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.