
Why OJK Compliance Is Breaking Indonesia's Data Governance Teams, and What Fixes It
Why OJK compliance has become a weeks-long data governance exercise—and how Decube makes traceability easier.
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Inventory every AI system, classify risk, enforce guardrails, and prove compliance—from first experiment to production.











THE GOVERNANCE GAP
AI systems are multiplying across teams, vendors, and workflows. Without a shared inventory, risk model, and evidence trail, every review becomes a manual fire drill.
Models, copilots, and agents are being adopted without a complete inventory or accountable owner.
Teams assess similar use cases differently, leaving controls dependent on judgement and spreadsheets.
Approvals, assessments, policies, and test results live across tickets, documents, and inboxes.
Risk changes after launch, but most governance processes stop once an AI system reaches production.
ONE GOVERNANCE CONTROL PLANE
Connect AI inventory, data context, risk, policy, and evidence in one place—so governance becomes part of delivery, not a gate at the end.
Discover and register every model, agent, use case, vendor, and dataset in one governed inventory.
Score AI systems against business impact, data sensitivity, autonomy, and regulatory exposure.
Turn governance principles into enforceable controls, approval gates, and evidence requirements.
Trace each AI system to its models, prompts, datasets, owners, decisions, and downstream applications.
Monitor risk posture, control status, incidents, drift signals, and expiring approvals throughout the lifecycle.
Generate a defensible record of assessments, approvals, controls, and change history for every AI system.
FROM DISCOVERY TO EVIDENCE
A repeatable operating model that moves at the speed of your AI portfolio.
Auto-discover AI assets and capture ownership, purpose, users, and dependencies.
Classify risk and map applicable controls using one consistent assessment workflow.
Route reviews, enforce policy gates, and assign remediation with clear accountability.
Maintain continuous evidence and produce audit-ready reports on demand.
Built for regulated AI teams accountable for sensitive data, where a governance gap turns into a compliance problem.
Define the operating model, policies, control library, and reporting cadence across every AI initiative.

Portfolio-wide AI visibility

Reusable policy and controls

Executive risk reporting
See which regulations apply, where controls are missing, and what evidence supports each decision.

Consistent risk classification

Traceable approvals

Audit-ready evidence
Ship responsibly with clear requirements, reusable assessments, and fewer late-stage review surprises.

Clear launch requirements

Integrated review workflow

Governed data context
Trusted by organizations operating under OJK, BNM, MAS, and APRA regulatory frameworks across APAC.
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Data Lineage
Their data contract module is amazing which virtualises and runs monitors.
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Automated Column-Level lineage
Perfect blend of Data Catalog and Data Observability modules.
Business users are able to understand if the reports /dashboard have issues / incidents.
Personally liked the monitors by segment since we have mulitple business it provides incidents breakdown by attributes.

UX and UI, features, flexibility and excellent customer service. People like Manoj Matharu took the time to understand my business and data needs before trying to solution.
One of the best-designed data products. Our complete data infra is getting observed and governed by decube. My fav is the lineage feature which showcases the complete data flow across the components.
What I appreciate most about Decube is its intuitive design and the way it supports maintaining data trust. The platform allows for straightforward monitoring of data quality, making it easier to detect issues early on.One of the most valuable aspects is the transparency it brings to our data pipelines, which also streamlines collaboration among teams. The greatest benefit is the assurance that our data remains accurate, consistent, and prepared for decision-making, all without the need to spend countless hours troubleshooting.

Decube is packaged of solution for us. We were struggling to find one good tool in which we can intigrated with our existing data stack we are using mysql. As a DevOps we used to write crond jobs to check data quality but when we adapt this tool the work and quality both are improved. I highly recommend !

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