Experiment

Does it actually work?

Working prototypes tested on your data, your workflows, your users. Every experiment ends with a clear answer: build, pivot, or stop, backed by evidence, not opinions.

Prove It Works Before You Commit to Building It

The riskiest moment in any software project is the decision to build. The Experiment phase removes that risk by putting working software in front of real users and real data before you commit budget to a full build.

We define a clear hypothesis, set success criteria upfront, and build the smallest possible test that answers the question. Every experiment ends with evidence, build, pivot, or stop, not opinions. You see it run. Your stakeholders react to it. The data speaks.

This is where Auriko’s engineering depth matters. We don’t hand you wireframes and call it validation. We build functional prototypes with your actual data, because a mockup can’t tell you whether an AI model performs on your edge cases.

Deliverables

  1. Working functional prototype

    Deployed software you can touch, test, and demonstrate to stakeholders. Built on your actual data and workflows, not dummy content.

  2. Live stakeholder demo

    A recorded walkthrough and live demo session so you can share the results with your board, investors, or executive team.

  3. Technical feasibility assessment

    Architecture decisions, what is real versus mocked, integration requirements, and a clear technical path for production development.

  4. Build-or-kill recommendation

    A clear recommendation with cost estimates for a production build. Build it, pivot the approach, or stop, with evidence to support the decision.

Process

  1. Align and scope

    Define the hypothesis, lock scope, agree on success criteria. We start building that afternoon.

  2. Build the prototype

    Engineers build working software on your actual data. Mid-week checkpoint to confirm direction and kill bad ideas early.

  3. Test with real users

    Put the prototype in front of real users or real data scenarios. Validate the hypothesis with evidence, not assumptions.

  4. Demo and recommend

    Live demo to stakeholders. Recorded walkthrough. Technical assessment. Clear recommendation: build, pivot, or stop.

Ready to test your idea?