redCloak.AI helps organizations strengthen data quality, establish governance controls, and achieve compliance readiness — so trusted data becomes a business asset, not a liability. Lineage and traceability support the work where audit readiness and impact analysis demand it.
Practical governance services built around data quality, compliance readiness, and measurable business outcomes — not just documentation.
Governance that goes beyond frameworks. We build the controls, policies, and documentation that make compliance real — aligned with EU AI Act, NIST AI RMF, and HIPAA, with workflows your teams can actually follow.
Identify governance gaps, data quality risks, and compliance exposures before they become audit findings. Continuous monitoring surfaces anomalies, access issues, and policy drift, so you catch problems early.
Lineage applied where it matters most: traceability for audit readiness, impact analysis when something changes upstream, and accountability across the data lifecycle. Lineage as a governance tool, not lineage for its own sake.
Governance controls that improve data quality at the source: profiling, validation rules, quality scoring, and issue tracking. Data you can trust starts with standards your teams are accountable to.
Compliance reporting that tells a story. Executive dashboards showing governance posture at a glance, audit-ready documentation when regulators ask, and remediation logs that prove you acted on what you found.
Custom Collibra development, governance workflow automation, and API integrations that make your platform work the way your teams do. Governance that fits real workflows gets used. Governance that doesn't, doesn't.
We assess your data quality posture, governance gaps, and compliance requirements against the frameworks that apply to you.
Data assets are profiled and quality-scored. Ownership is assigned, standards documented, and lineage captured where traceability is needed.
Continuous monitoring surfaces data quality issues, governance gaps, and compliance drift before they become audit findings.
Governance controls and compliance reporting that close the loop, with documentation ready when regulators ask.
Risk-tier classification for AI systems, with the documentation, conformity assessments, and governance controls built for practical compliance rather than policy alignment on paper.
Govern, Map, Measure, Manage: the full NIST AI Risk Management Framework made operational inside your existing governance stack, with controls and reporting that prove you follow it.
Data quality and governance controls built for healthcare environments: PHI classification, access governance, data integrity validation, and audit-ready documentation for clinical and administrative pipelines.
Governance controls that enforce data quality standards alongside access and sensitivity policies, so security and data trust are managed together instead of in separate silos.
redCloak.AI was built around one belief: governance only works when it produces real business value. After a decade in high-stakes sales, building trust and solving problems for real people, David Kim made a deliberate pivot into data governance and software development.
That combination is rare. Most technologists never mastered the room. Most sales professionals never learned to read the data. David does both, and built redCloak.AI for organizations that need governance to actually land, not sit on a shelf.
With deep expertise in Collibra platform development, data quality controls, governance implementation, and compliance readiness, redCloak.AI offers something the big consultancies can't: the precision of an engineer paired with the clarity of someone who can explain it to your board. Lineage and traceability are part of that toolkit, applied where they create real governance value.
This is not shelfware. It's a hands-on practice focused on governance that teams actually adopt, because it's tied to data quality, compliance outcomes, and business value from day one.
Collibra Developer specializing in Data Quality, Governance Controls, Compliance Readiness, and Traceability, currently at Navitus Health Solutions. 10+ years of professional experience across sales and software development. Passionate about governance that creates measurable business value for organizations of every size.
Governance built around data quality standards teams actually use: profiling, validation, and controls that make data reliable before it reaches a report, a decision, or an auditor.
We align governance controls to what regulators actually look for: EU AI Act, NIST AI RMF, HIPAA. Not compliance theater. Practical controls with documentation that holds up when it counts.
Data lineage is a tool, not the story. We apply it where it creates governance value: traceability for audits, impact analysis when upstream data changes, and accountability across the data lifecycle.
Every engagement is led personally by the founder. No handoffs, no junior contractors. We build governance organizations actually adopt, because it's tied to business outcomes, not documentation that collects dust.
Let's review your data quality posture, identify your compliance gaps, and build a governance approach that creates real business value, not shelfware.
Start With a Free Governance Review