Sectors
Built for regulated and AI-scaling enterprises.
The chain of custody from data to AI decision applies everywhere. These six sectors are where the questions arrive first and weigh most.
Each sector page covers why data and AI governance matters there, the questions teams typically ask, which seam loops tend to matter most, and what a diagnostic would examine. The detail differs. The structure does not: data is governed, models are governed, and the link between them is evidenced in a tamper-evident record. Not sure which page fits? Organizations that span several sectors can read the page closest to their most regulated line of business.
S-01
Financial services
Model risk and explainability, with data lineage back to every input.
Read moreS-02
Insurance
Underwriting fairness and claims explainability, grounded in governed data.
Read moreS-03
Healthcare
Patient-data governance flowing into clinical AI, with consent end to end.
Read moreS-04
Public sector
Transparency and procurement governance across data and AI.
Read moreS-05
Energy and utilities
Operational AI risk and sensor-data integrity in safety-critical settings.
Read moreS-06
Technology
Data and AI governance at the scale of AI-native operations.
Read moreIdeal fit
Who we work with
aerais is a fit for organizations with substantial revenue, low-to-medium governance maturity and moderate-to-high regulatory exposure. If that describes your organization, in any sector, a diagnostic is the usual place to start.
Across all six sectors the same things stay constant: an inventory of data and AI in use, lineage that links a decision to its inputs, quality checks before release, a path for privacy and deletion requests, and one set of controls evidenced once. What changes is which of those carries the most weight, and which regimes sit on top.
Regulatory references on these pages are high-level context only. Confirm current requirements with counsel and regulators. See the chain and our method for how the work is done, or engagements for how a first step is scoped.
Contact
Make your data and AI provable.
Start with a diagnostic: current-state maturity, risk exposure and a prioritized roadmap. We aim to reply within two business days.