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Samer Hany

AI Assistants

AI assistants that help people find trusted answers, work with company data, and complete supported tasks without hunting through systems.

A useful AI assistant is not a chatbot sitting beside the real product. It understands a defined area of the business, answers from sources people can check, respects each user's permissions, and can help complete the work being discussed. It may live inside an existing application or as a standalone workspace, but the conversation is only the interface; the value comes from what it knows and what it can safely do.

Describe your process

You may recognize this if

  • People lose time searching policies, technical documents, product information, or company knowledge.
  • Support repeatedly answers questions whose information already exists somewhere in the business.
  • Completing one routine task requires moving through several forms or application screens.
  • Users want to ask questions about their own records, not only read general documentation.
  • Answers in your domain need citations or supporting sources before anyone can rely on them.
  • A generic chatbot was easy to demonstrate but could not handle permissions, actions, or real user context.

How it is done

  1. Define what the assistant is responsible for

    Its remit is written plainly: which questions it can answer, which tasks it can support, what data it may use, and when it should say it cannot help.

  2. Ground answers in sources people can check

    Knowledge retrieval is designed around the real documents and records, with citations where the subject requires verification rather than blind trust.

  3. Respect the user's existing permissions

    The assistant sees only what the current user may already access. Personal or company data does not become globally visible just because the interface is conversational.

  4. Turn conversation into supported actions

    The assistant can collect missing details, prepare an action, and ask for confirmation before updating a customer, creating an invoice, drafting an email, or using another approved tool.

  5. Build the production experience around it

    Streaming, attachments, conversation state, multilingual behaviour, feedback, error recovery, evaluation, and observability are treated as product requirements rather than polish for later.

Proof

Business-management and financial software · Belgium

Common tax, financial, invoice, and administrative questions went from hours to seconds.

Related solutions

This is part of something broader

This is one practical form of AI Agents & AI-Powered Solutions. A wider project may combine it with applications, integrations, reporting, or AI depending on where the process is breaking today.

AI Agents & AI-Powered Solutions