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KERJABAIKConsulting
02 / 04 — Design & Validation

AI Solution Design
& Proof of Concept

Design solution options and run a bounded Proof of Concept to test technical, operational, and value assumptions before a larger investment.

Design & Validation

Validate Before Investing

A limited test can surface data, integration, model, usability, and operating assumptions before major resource commitment.

We design workflows, assess data, and build a limited prototype to document feasibility findings, constraints, and risks.

Work Phases

Typical duration: 6-12 weeks

  1. 01

    1. Detailed Solution Design

    Comprehensive design of technical architecture components, data pipeline flows, integration points, and user interface specifications that address functional requirements, performance criteria, security constraints, and scalability needs.

  2. 02

    2. Data Preparation

    Systematic collection, cleaning, normalization, and labeling of representative sample datasets required for model training, validation, and testing under conditions that simulate production data characteristics.

  3. 03

    3. Model Development

    Development or adaptation of a small-scale artificial intelligence or machine learning model that demonstrates core algorithmic approach, validates data sufficiency, and establishes performance baselines for full-scale development.

  4. 04

    4. Validation & Testing

    Rigorous testing of model performance against predefined success metrics, combined with structured feedback sessions involving prospective end users to evaluate usability, output interpretability, and operational fit.

Deliverables

Deliverables

A findings package to proceed, adjust scope, defer, or stop. A Proof of Concept is not a production-ready system.

Discuss Design
  1. 01Solution design with assumptions and architecture boundaries
  2. 02Limited prototype for testing Proof of Concept hypotheses
  3. 03Test report covering results, constraints, and agreed criteria
  4. 04Continuation recommendation with investment estimate and initial risk register

Service Summary

Solution design and a Proof of Concept test material assumptions within a limited scope before the organization decides on further investment.

When it's needed

  • 01You have an AI roadmap but aren't sure of the right solution
  • 02You want to test technologies like GenAI for a specific use case
  • 03You need to test benefit and cost assumptions before a large budget request
  • 04The desired solution is not available off-the-shelf

Key Outcomes

  • 01Solution design with assumptions and architecture boundaries
  • 02Limited prototype for testing Proof of Concept hypotheses
  • 03Test report covering results, constraints, and decision criteria
  • 04Continuation recommendation with investment estimate and initial risk register

Standards & References

  • ISO/IEC 42001 — AI Management System
  • NIST AI Risk Management Framework
  • AI ethics and algorithm risk management principles

FAQ

Frequently Asked Questions