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KERJABAIKConsulting
03 / 04 — Implementation Supervision

AI Implementation Supervision
Independent of the Delivery Team

Supervision independent of the vendor or internal delivery team, covering agreed specifications, acceptance criteria, risks, and timeline. Relevant Kerjabaik affiliations remain disclosed.

Implementation Supervision

More Than Algorithms

Implementation decisions depend on evidence across integration, security, reliability, operations, and user adoption, not model performance alone.

We review delivery evidence, record deviations, and advise decision owners. The vendor or implementation team remains accountable for delivery.

Implementation Scope

Typical duration: 3-6 months

  1. 01

    1. Production Readiness Supervision

    Review readiness evidence against agreed acceptance, security, operations, and maintainability criteria.

  2. 02

    2. System Integration Supervision

    Review integration design and test results across databases, APIs, and applications, recording issues for the delivery team to resolve.

  3. 03

    3. Deployment & Scaling Readiness Review

    Review capacity, reliability, recovery, and monitoring tests as inputs to the release decision.

  4. 04

    4. Change Management

    Review communication, training, support, and adoption measurement plans with accountable change owners.

Deliverables

Deliverables

Supervision deliverables support acceptance and release decisions. Kerjabaik does not produce or guarantee a production-ready system.

Discuss Implementation
  1. 01Supervision report against acceptance criteria and readiness evidence
  2. 02Issue, risk, decision, and action register for delivery owners
  3. 03Review of technical, operational, user, and training documentation
  4. 04Test-results summary and conditional release recommendation

Service Summary

Implementation supervision gives decision owners a structured view of delivery evidence, deviations, risk, and readiness. The vendor or internal team remains accountable for the system delivered.

When it's needed

  • 01The AI solution is designed and ready to be developed by an internal/external vendor
  • 02You need a technical quality review without undisclosed vendor preference
  • 03You need oversight of system integration and data security
  • 04You need to prepare user adoption and change management

Key Outcomes

  • 01Supervision report against acceptance criteria and readiness evidence
  • 02Issue, risk, decision, and action register
  • 03Review of technical, operational, and training documentation
  • 04Test-results summary and recommendation for the release decision

Standards & References

  • ISO/IEC 42001 — AI Management System
  • Indonesian Personal Data Protection Law
  • Best-practice DevOps/MLOps and system security

FAQ

Frequently Asked Questions