AI agents for businesses

    An AI agent is a digital employee that can carry out tasks, make decisions within defined boundaries and drive workflows in your systems. Built correctly, it relieves your teams and makes it possible to scale without adding headcount.

    The difference between an AI agent and a chatbot

    A chatbot answers questions. An AI agent acts. It logs into systems, reads data, makes trade-offs, creates and updates records, and reports back. The difference lies in responsibility and reach.

    Types of AI agents we build

    • Support agent

      Receives cases, classifies, suggests or delivers replies, and escalates when needed.

    • Sales agent

      Enriches leads, books follow-ups, updates the CRM and prepares meeting materials.

    • Research agent

      Gathers, summarises and cites information from internal and external sources.

    • Reporting agent

      Builds management reports by pulling and commenting on data from multiple systems.

    • Internal knowledge agent

      Searches policies, processes and documentation, and answers with source references.

    Requirements for data, systems and ownership

    • Clearly defined responsibility: what the agent may do on its own, and what must be escalated.
    • Structured or semi-structured data that the agent can act on.
    • API access or an integration path into your systems.
    • Logging, review and the ability to shut off the agent in real time.

    How FigFlows builds, tests and deploys AI agents

    We start with a well-defined scenario with a clear definition of success. We test against real cases, measure quality, security and impact, and then roll out more broadly. We set up monitoring so that deviations are caught early.

    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