AI for Business: A Practical Guide
What AI can and cannot do inside a business, the three kinds worth knowing about, where it pays off first, what a project costs, and how to choose a first project that will not waste six months.
ReadPlain-English answers on software, AI, automation and ERP — written from delivered projects
Each cluster has a hub page that explains the topic end to end, and supporting pages that go deeper on one question. Every page links to the LavisTech service it relates to, so you can go from understanding the problem to talking to someone about it.
How AI actually works in a business, and what it costs
5 pagesAutomating the work nobody should be doing by hand
3 pagesBuild, buy, or modernise — how to decide
2 pagesERP without the three-year implementation
2 pagesWebsites, web applications, and the difference that matters
2 pagesStep-by-step guides to building and choosing
2 pagesHonest side-by-side comparisons
2 pagesSoftware and AI terms, defined in plain English
9 pagesThe questions buyers actually ask us
3 pagesWhat AI can and cannot do inside a business, the three kinds worth knowing about, where it pays off first, what a project costs, and how to choose a first project that will not waste six months.
ReadWhat separates an AI agent from a chatbot, how the architecture actually fits together, realistic examples, when an agent is the right answer, and what one costs to build.
ReadBusiness process automation explained in operational terms: what it is, how it differs from digital transformation, where it pays off first, and when AI is the wrong tool.
ReadWhat AI can and cannot do inside a business, the three kinds worth knowing about, where it pays off first, what a project costs, and how to choose a first project that will not waste six months.
ReadGenerative AI explained without the hype: how these models actually produce an answer, what they are genuinely good at inside a business, and the three failure modes to design around.
ReadWhat separates an AI agent from a chatbot, how the architecture actually fits together, realistic examples, when an agent is the right answer, and what one costs to build.
ReadA straight comparison of AI agents and chatbots — what each can do, what each costs, and how to tell which one the problem in front of you actually needs.
ReadRAG explained: how grounding a language model in your own documents works, why it beats fine-tuning for business knowledge, and the four things that determine whether it works well.
ReadBusiness process automation explained in operational terms: what it is, how it differs from digital transformation, where it pays off first, and when AI is the wrong tool.
ReadTell us what you are trying to build and we will point you at the right approach.
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