Case Studies

Scaylar prototypes that show how an AI system for a real business problem works, step by step. Each one runs in your browser on sample data: the screens show how the system behaves, not results for a client. Each case study says who the system is for, how it works, what we would build it with and the targets a production build would be held to.

  • The report screen of the trend-report prototype, labeled Sample data: a draft for analyst review on plant-based snacks in the United States, with a headline on which parts of the category are growing and shrinking, tiles for signals gathered, source types, trends found and figures checked, and a note that the report is made up to show the format.
    Prototype, sample data

    AI trend-report agent

    An agent that drafts a category trend report from collected signals, and checks every figure against the data before anyone reads it.

  • The learning guide prototype, labeled Sample data, with a finished path for a data analyst moving into cloud: the conversation with the guide on the left, and on the right the number of tutorials, the total time and the levels, followed by numbered tutorial cards, each with its level, length and format and a line on why it comes where it does.
    Prototype, sample data

    AI learning guide

    An assistant that asks what a learner wants to do, searches the tutorial library and returns an ordered path, with the reason for each step.

  • The opportunity map in the admin view of the interview prototype, labeled Sample data: a bar chart of addressable hours per week for eight candidate agents, from invoice intake and matching at the top to supplier payment status at the bottom, beside tiles for the total addressable hours, the number of candidate agents and the teams affected.
    Prototype, sample data

    AI interview agent

    A voice agent that interviews staff about the work that fills their week, and combines the interviews into a ranked map of candidate AI agents.

Have a process like these?

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