Every AI decision, traceable to the data behind it.
aerais governs the whole path — the data that feeds your AI, and the AI itself — as one tamper-evident chain of custody. So when a regulator or a board says show me, you hand over proof, not posture. And we don't sell you a platform to run: we build the governance into your systems, and operate it.
AI is making decisions no one can trace.
Enterprises are wiring AI into core decisions faster than oversight can keep up — on data that is largely uncatalogued, unlineaged, and unproven. Run AI on data you can't vouch for and you're not just audit-exposed; you're model-exposed. When a decision is challenged — by a regulator, a board, or a court — the answer can't be a shrug.
You can't defend a decision you can't trace to its data.
Not a platform to run. Governance, operated.
The AI-governance tools stop at the model. The data catalogs stop at lineage. Both hand you software to staff and run. aerais works one layer deeper — across the seam between data and AI — and we don't license it to you. We embed governance into your operating model, delivery lifecycle, and the data beneath them, then operate it.
The result is governance that scales with innovation and holds up under examination. We sit above generalist boutiques and beneath Big-4 overhead — deeper specialization, real implementation, and a chain of custody you own.
We are a governance systems and controls firm — built and run for you.
Both halves. One chain of custody.
Data governance and AI governance have converged. Governed data feeds the AI; when the AI is questioned, the answer traces back to the data. aerais runs both halves as one chain — one graph, one evidence chain, one control crosswalk — so provenance and proof never break at the seam.
Five capabilities live on the seam — and only run if you govern both sides:
Data catalogs govern the left and stop at lineage. AI-governance tools govern the right and start at the model. aerais owns the whole chain — data to decision, on tamper-evident evidence — and operates it.
One integrated practice — across data and AI.
Two planes, one system: a data-governance service line and an AI-governance service line that share one control crosswalk and one chain of custody. Enter at any point; scale into a full transformation and a managed-governance function we run.
See the data estate
- Automated discovery
- Business & technical catalog
- Ownership & stewardship
- Data product registry
Classify & protect
- Sensitive‑data classification
- DSPM posture
- Access & exposure
- Policy tagging
Trace every flow
- End‑to‑end lineage
- Metadata management
- Data‑to‑AI provenance
- Impact analysis
Gate on quality
- Quality rules & scoring
- Profiling & monitoring
- Quality gates for AI
- Remediation workflow
Privacy, embedded
- DSAR / RoPA / DPIA
- Consent & purpose
- Data mapping
- Right‑to‑be‑forgotten
Establish current state
- Governance maturity assessment
- AI risk exposure diagnostic
- ISO/IEC 42001 readiness
- AI inventory & shadow‑AI discovery
Architect the system
- Operating‑model design
- Risk taxonomy & control framework
- Responsible‑AI framework
- Policy & standards suite
Operationalize governance
- Lifecycle governance implementation
- Control operationalization
- Monitoring & assurance setup
- Governance tooling enablement
Certifiable & audit‑ready
- AI Management System (AIMS) build
- Regulatory alignment & mapping
- Audit readiness & assurance
- Mock certification review
Governance as a service
- Governance office as a service
- Risk & compliance monitoring
- Control testing & assurance
- Executive & board reporting
High‑value programs
- Shadow‑AI detection program
- AI incident response & governance
- Model‑risk governance
- Agentic & RAG governance
→ Not two silos. Every engagement spans both planes — data flows into AI, AI risk traces back, and one chain of custody covers it.
One system. Four phases.
This is a transformation program we run — not a point solution. Each phase produces working governance, and compounds into the next.
Establish current‑state maturity, risk exposure, and the data‑and‑AI footprint the organization cannot yet see.
Architect the operating model, risk taxonomy, control framework, and policies that fit the risk profile.
Embed governance into intake, delivery, deployment, and monitoring. Controls that run — not controls on paper.
Assure, monitor, and report continuously — or run the entire governance office as a managed service.
→ Land and expand. Enter at any maturity level; each phase becomes the mandate for the next.
Federated governance with central oversight.
Governance that balances innovation and control — accountability distributed to the business, standards held at the center, assurance kept independent across three lines of defense.
Proprietary governance IP, not slideware.
Every engagement configures the same governance system — reusable, testable, regulator-defensible assets that span data and AI. The signature asset is the unified control crosswalk: one control, evidenced once, satisfying both regimes.
One control, evidenced once, satisfies every mapped regime — evidence captured once, reused across audits.
*Aligned to DCAM and CDMC: aerais maps to them and does not reproduce EDM Council proprietary content.
· live junction
Compliant · guardrail met
Drift · review
Breach · kill-switch
A commercial model built to land and expand.
Four tiers, from a focused diagnostic to a fully managed governance function — each spanning data and AI as one continuum. Ranges are indicative and scoped to enterprise size, data‑and‑AI footprint, and regulatory exposure.
Indicative ranges, USD. Fixed‑fee engagements are scoped from medium time estimates, with overruns absorbed — pricing confidence, not client friction.
Built for regulated and AI‑scaling enterprises.
Straight answers.
How is aerais different from a Big‑4 firm?
We build and operate governance systems — we don't hand you software to staff. Faster delivery, deeper specialization, and far less overhead than broad compliance advisory, with a chain of custody you own.
Do you only work on ISO/IEC 42001?
No. ISO/IEC 42001 readiness is one entry point. We also align to the NIST AI RMF and the EU AI Act, and integrate AI governance with your existing risk, security, and privacy frameworks.
Do you advise, or do you build?
We build. aerais embeds governance into intake, delivery, deployment, and monitoring — controls that run inside your systems, not documents that sit on a shelf.
How quickly can we see value?
A diagnostic produces board‑ready findings — current‑state maturity, risk exposure, and a prioritized roadmap — in a matter of weeks.
Who is the right fit?
Regulated and AI‑scaling enterprises, typically $1B–$50B in revenue, with low‑to‑medium governance maturity and moderate‑to‑high regulatory exposure.
Can you operate governance for us?
Yes. Our managed‑governance tier runs the governance office continuously — intake approvals, control testing, assurance, regulatory tracking, and board reporting.
How does aerais connect data governance and AI governance?
As one chain of custody. Governed data — cataloged, classified, lineaged, quality-gated, and privacy-controlled — feeds your AI; when the AI is questioned, the answer traces back to the data. We run both planes on one graph, one evidence chain, and one control crosswalk.
What is data‑to‑AI lineage?
The traceable path from a source dataset through features, training sets, and models to a specific AI output — so any model or decision can be traced back to the exact data that shaped it, and any contaminated source can be traced forward to everything it touched.
Can you handle a right‑to‑be‑forgotten request across AI models?
Yes — end to end. We locate a subject's data not only in data stores but inside features, training sets, models, and vector stores, and evidence the erasure across all of them. Privacy is embedded across the chain, not bolted on.
Do you align to DCAM and CDMC?
On the data side we align to DAMA‑DMBOK, DCAM, and CDMC; on the AI side to ISO/IEC 42001, the NIST AI RMF, and the EU AI Act — mapped through one crosswalk. We map to DCAM and CDMC; we do not reproduce EDM Council proprietary content.
How is aerais different from data-catalog and AI-governance point tools?
Those are software platforms you buy, implement, and staff — and each governs one side: the data catalogs stop at lineage, the AI-governance tools start at the model. aerais is a firm that builds and operates governance across the whole chain — data to decision — and hands you the evidence. A different category: an operated outcome, not a license.
Make your data and AI provable.
Start with a diagnostic: current-state risk exposure, governance gaps, and a roadmap to a chain of custody from data to decision. Then we build it — and run it.