Flipside AI
    Things we build

    Systems designed around
    real work.

    Explore our own website-assistant implementation and two detailed design studies for voice reception and creative-studio knowledge.

    Explore the possibilities

    The decisions behind the build.

    Each study identifies what is implemented, what is proposed and how the result should be measured.

    01Illustrative creative-studio design study

    Keeping a creative studio’s project context together.

    A proposed knowledge workflow for an architectural visualisation studio, connecting briefs, revision notes and approved references without losing the source of a decision.

    Read the study     02Illustrative voice-agent design study

    From a missed call to a useful callback brief.

    An AI receptionist design for an Australian service business: answer routine questions, capture the reason for the call and hand over with the details a person needs.

    Read the study     03Flipside implementation case study

    How we built Flip, our website AI assistant.

    A practical case study of Flipside’s own assistant: approved business answers, a separate enquiry form and a clear route to booking a discovery call.

    Read the study
    Beyond conversations

    Less admin. Better handovers.

    Start with a small, repeated task. These are workflow ideas we can shape around your tools and team.

    01

    Enquiry to follow-up

    Capture a request, prepare a summary and route it to the right person for review.

    02

    Meeting to action

    Turn approved notes into a draft task list, with owners checking the next steps.

    03

    Documents to answers

    Find relevant project information with the supporting source attached.

    04

    Inbox to organised

    Suggest categories and draft routine replies while your team keeps control.

    Explore workflow automation
    From idea to everyday use

    A build is more than a demo.

    01

    Map the work

    Agree the problem, current process and the outcome worth improving.

    02

    Connect carefully

    Use approved information and define exactly which actions are allowed.

    03

    Test together

    Try everyday requests and exceptions with the people doing the work.

    04

    Train and refine

    Give the team guidance, review the results and improve what needs attention.

    Useful before you build

    Make your next decision clearer.

    Planning resource

    Your first AI project, on one page.

    A checklist for the scope, owner, inputs and success measures.

    Read the checklist     Launch resource

    Know what to test before going live.

    Check answers, permissions, exceptions and human handover.

    Read the guide
    Made for your business

    Bring us the work
    that slows you down.

    We’ll discuss whether AI could help and a practical place to start.

    Book a free 15-minute discovery call