AI Solution Design & Validation
Test technical and operational feasibility and benefit assumptions through solution design and a bounded proof of concept (PoC).
Indicative duration
6-12 weeks
Design and validation objectives
A technically plausible idea may still be unsuitable for the workflow or users. Establish the decision question and criteria for quality, cost, and risk before making a larger commitment.
We design options and a bounded prototype to test important assumptions with prospective users. Findings describe feasibility, limitations, and the prerequisites for the next stage.
Work Phases
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.
Data Preparation
Review and prepare authorized data or knowledge sources for the test. Cleaning and labeling follow the needs of the selected approach.
Prototype configuration & development
Configure generative AI, integrate components, or develop a small-scale model where the use case requires it. Not every PoC involves training a new model.
Validation & Testing
Test technical quality, workflow fit, user review effort, and benefit assumptions against agreed decision criteria.
Deliverables and supported decisions
An understanding of workflow feasibility, technical and operational limits, and benefit assumptions requiring evidence before expansion.
The decision this supports
Is the solution viable before investment scales?
Engagement deliverables
- 01Solution design with assumptions and architecture boundaries
- 02Limited prototype for testing Proof of Concept hypotheses
- 03Test report covering results, constraints, and agreed criteria
- 04Continuation recommendation with investment estimate and initial risk register
A findings package to proceed, adjust scope, defer, or stop. A Proof of Concept is not a production-ready system.
Roles and engagement boundaries
A PoC is a bounded prototype for testing. Production development and deployment require a separate implementation assignment; testing does not guarantee future performance or benefits.
Standards & References
- ISO/IEC 42001:2023 — voluntary AI management system standard
- NIST AI RMF 1.0 (2023) — voluntary risk management framework
- Indonesia’s Law No. 27 of 2022 on Personal Data Protection — relevant legal obligations
FAQ
Frequently Asked Questions
What is the difference between a Proof of Concept and a pilot project?
A Proof of Concept tests specific hypotheses within controlled boundaries. A pilot tests operation with users, processes, and controls closer to real conditions. Proof of Concept findings do not guarantee pilot or production outcomes.
How long does an AI Proof of Concept take?
The typical duration is 6-12 weeks, depending on solution complexity, data availability, and validation scope.
Does Kerjabaik develop software during the Proof of Concept?
We can build small-scale prototypes, but we do not become the full-scale development vendor. Our focus is validating concepts, architecture, and business feasibility.
What if the Proof of Concept results don't meet expectations?
We recommend whether to proceed, adjust scope, defer or stop based on the PoC findings and limitations. The final decision remains with your organization.
Starting an engagement
Define the engagement scope
Discuss your needs to agree deliverables, roles, timing, and cost assumptions for a proposal.
Share a general outline. Avoid sending third-party personal data, credentials or confidential documents in the initial discussion.