Plain-language guides for non-developers: automation, documents and AI at the office.
Most repetitive work in an SME does not live in the ERP: it lives **in contracts to review, in the email inbox and in Excel spreadsheets**. In 2026 Anthropic released plugins and connectors that bring Claude exactly there — ==without writing a single line of code==. I look at what the Legal plugin, the email connector and Claude for Excel actually do, and where the right place to start is.
In 2026 ==68% of employees use AI tools without IT authorisation==, and Gartner estimates that **40% of enterprise applications will have integrated AI agents by year-end**. For a small or mid-sized business the risk is not theoretical: it's the consultant pasting a contract into ChatGPT, the sales rep leaving an agent with access to the company inbox. I look at what *shadow AI* means in practice and how to set up lightweight governance — five pillars, a one-page policy, zero IT project.
**Modern OCR** is no longer just "reading text from an image": it is a *document AI layer* that ==extracts structured data from invoices, contracts, and identity documents== and writes it directly into your systems. Discover concrete benefits, implementation scenarios, and a **real use case**.
**AI automation** is no longer a topic reserved for the IT department. ==HR, marketing, administration and operations== are today the primary consumers of AI solutions in business — and the first to benefit from a **measurable ROI**. Here is where to start, how to structure the project and which mistakes to avoid.
Salesforce, HubSpot, Pipedrive cover ==70% of standard use cases==. For the remaining 30% — companies with *atypical sales processes, proprietary integrations, or strict privacy requirements* — a well-designed **custom CRM** is often **faster, cheaper in the medium term, and more functional** than a generic platform forced into a role it was never built for.