Generative AI for businesses

    Generative AI has moved from experiment to a genuine production technology. The value appears when the technology is connected to your processes, your data and your systems, not when it is used in isolation in a chat box.

    What generative AI can do in a business

    • Draft quotes, reports, emails and documentation.
    • Summarise meetings, documents, customer cases and news feeds.
    • Classify and route incoming information.
    • Power AI agents and conversational interfaces connected to your systems.
    • Generate code, database queries and tests.

    Business value and risks

    The real gain lies in time saved in workflows where people read, write, summarise or search for information. The risks are incorrect answers, leakage of sensitive data and dependency on a single vendor. We address both in parallel.

    Policy, governance and security

    • An AI policy stating what may and may not be done with generative AI.
    • Data handling: which data may be sent to which model.
    • Logging and auditing of AI usage.
    • Technical guardrails such as DLP, prompt filters and access control.

    From experiment to production

    Many companies get stuck in the pilot phase. The difference lies in integration, ownership, measurement and maintenance. We help you take the pilots that actually create value all the way to production.

    Not sure which step is right for you?

    Answer a few questions about your situation and we will point you to the right starting point.

    Build your AI plan