Identity inherited
AI runs under human credentials. No cryptographic identity per system, no way to revoke a misbehaving agent without disabling a person, no signed attribution when an auditor asks which system touched the record.
AI is already in your
clinical and back-office work.
Your auditor is asking how you govern it.
Brine is the AI governance and execution platform for healthtech companies, payers, and provider organizations. Cryptographic identity per AI system. Immutable audit trails written to your tenant. Audit-ready evidence in minutes, not weeks, on the workflows that sit closest to protected health information.
Auditors are reviewing AI controls in 2026.
Your AI runs without governance built in.
Every collaboration and workflow platform in your organization was built for humans only. AI now works alongside your clinical, operations, and compliance teams, and the privacy frameworks are catching up faster than the platforms.
Audit trails muddled
Actions get logged. They are not signed, not scoped to an agent identity, and not exportable as an immutable chain. When OCR or your auditor wants evidence of what governance was enforced, the platform has none to produce.
Accountability unclear
When a workflow produces a wrong answer, no chain of custody traces the decision back to a specific agent, model version, or scoped intent. Your risk analysis has no row for it.
Cost invisible
AI spend gets reconciled at the end of the month, not enforced before dispatch. No platform-level gate stops an agent from exceeding its allowance before the work is done.
The consequence
When your auditor asks who approved a decision that touched patient data and your platform cannot distinguish human from AI, that is a finding, a corrective action plan, and a board conversation you do not want to have.
Workflows that run.
On data your team already handles.
Five examples of how a Brine pilot starts. Begin with how we’d scope a workflow with you, then page through four governed workflows we deploy on non-PHI data.
Brine does not touch PHI during pilot. Every workflow above runs on corporate-operations data: vendor questionnaires, public attestations, non-PHI communication templates, internal KPIs. Regulated-data scope expands once the model is proven and fully adopted.
Internal audit cycles, under six hours.
Professional services · Cybersecurity · Internal Audit
87%
Audit hours reduction across a 90‑day deployment.
A regulated organization running internal ISO 27001 / 27701 / 42001 audits deployed Brine to automate evidence collection and audit narrative authoring. Same controls. Same frameworks. A fraction of the cycle time, with the identical mechanics a HIPAA Security Rule evidence pack runs on.
- Audit cycle work
- 48 hrs → < 6 hrs
- Per-audit cost
- $6,000 → $750 + $40 in Brine
- Controls covered
- 93 / 93
- Unreviewed AI actions in production
- 0
Live in minutes, not monthsYou don’t have nine months.
You don’t have nine months.
We get it done in minutes.
Most AI governance platforms run a nine-month sales cycle ending in a six-figure dashboard. Brine goes live in minutes on a non-PHI workflow your team runs today, and expands scope when your team trusts the platform.
- 01
Scope a workflow
Pick a non-PHI workflow your team runs today. Vendor and BAA risk, evidence collection, internal compliance documentation, anything repeatable.
- 02
Live in minutes
Brine deploys, governs, and runs the workflow inside your tenant. You measure cycle time, cost, and accuracy against your baseline.
- 03
Expand on results
Convert to production. Add scope. Bring regulated data into the mix once the model is proven.
Your tenant. Your keys. Your data.Exit path documented in the contract.
Not in healthcare?