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Methodology

AI Consulting
Methodology

An evidence-led approach with explicit gates to proceed, adjust, defer, or stop an initiative.

  1. 01

    Discovery & Alignment

    Agree objectives, scope, stakeholders, operating constraints, and regulatory context. Decision gate: is the problem and mandate clear enough to begin assessment?

  2. 02

    Assessment & Diagnosis

    Assess data, technology, people, governance, and candidate use cases against agreed criteria. Decision gate: which priorities merit validation, and which gaps must be addressed first?

  3. 03

    Roadmap & Design

    Build the roadmap, solution design, hypotheses, and bounded Proof of Concept. Decision gate: proceed to pilot or implementation, adjust scope, or stop based on findings.

  4. 04

    Supervision & Scale

    Oversee vendor or internal delivery against specifications, acceptance criteria, risks, and change plans. Decision gate: accept, remediate, limit release, or defer based on test evidence.

  5. 05

    Governance & Sustainability

    Design roles, policies, controls, risk registers, and monitoring cycles. Decision gate: accept risk, add mitigation, constrain use, or retire the system.

Standards & References

Standards & References

These standards and policies are used as scope-appropriate references; referencing them does not claim certification or guarantee compliance.

  1. 01ISO/IEC 42001 — AI Management System
  2. 02NIST AI Risk Management Framework
  3. 03Indonesian Personal Data Protection Law
  4. 04Indonesian National AI Strategy
  5. 05National Digital Architecture Framework
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