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PROOF OF CONCEPT

Before building at scale,
validate what matters.

Test an idea or AI use case within a focused scope. Discovery, prototyping and evaluation provide evidence for the production decision.

01 WHAT TO VALIDATE

What do we need to establish first?

Agree on the validation question and success criteria before the PoC. Not every feature needs to be implemented.

TECHNOLOGY

Is it technically feasible?

Test whether the intended processing can be achieved with the required data, external services and AI models.

WORKFLOW

Can people use it in practice?

Prototype interfaces and workflows to review user actions, exceptions and human review points.

VALUE

Can we measure the effect?

Select appropriate evaluation measures, such as work time, processing volume or answer suitability, and compare results.

NEXT STEP

What would production require?

Use findings and open issues to define operations, security and development scope.

02 PROCESS

Turn validation into the next decision.

  1. 01

    Clarify the problem and hypothesis

    Review users, target workflows, current conditions and the problem to solve.

  2. 02

    Agree on validation scope

    Define data, functions, evaluation criteria, timing and deliverables.

  3. 03

    Prototype and evaluate

    Test in practice and record both expected results and exceptions.

  4. 04

    Decide from the findings

    Consider production, further validation or a change in direction based on the results.

03 CHOOSE YOUR PROJECT

Choose the question to validate.

PREPARATION

Helpful information before we talk

Current workflow documents, sample data, challenges and desired timing. We can start by organizing these together.

Indicative prototype development starts at JPY 80,000. Costs vary with scope, AI service fees and the validation environment.View indicative pricing ↗

LET’S CREATE WHAT’S NEXT

Start with a focused validation.

You do not need a complete specification. Tell us where you are and what you want to achieve.

Discuss your project