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 the examiner asks who acted.
Your firm already runs AI.
Your examiner is asking
how you govern it.
Brine is the AI governance and execution platform for regional banks, RIAs, fintechs, and insurers. Cryptographic identity per AI system. Immutable audit trails written to your tenant. Examiner-ready evidence in minutes, not weeks.
Examiners are reviewing AI controls in 2026.
Your AI runs without governance built in.
Every collaboration and workflow platform in your firm was built for humans only. AI now works alongside your people, and the compliance 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 the regulator 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 register 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 examiner asks who approved a decision and your platform cannot distinguish human from AI, that is a finding, a remediation, 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-NPI data.
Brine does not touch NPI during pilot. Every workflow above runs on corporate-operations data: vendor questionnaires, public disclosures, marketing drafts, 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 professional services firm 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.
- Audit cycle work
- 48 hrs → < 6 hrs
- Per-audit cost
- $6,000 → $750 + $40 in Brine
- Annex A 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-NPI workflow your team runs today, and expands scope when your team trusts the platform.
- 01
Scope a workflow
Pick a non-NPI workflow your team runs today. Vendor 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 financial services?