Illustrative examples of how Bastion governance applies to regulated industries. Put yourself in these shoes.
These are not customer case studies - Bastion is pre-pilot. Each scenario is drawn from discovery conversations, industry research, and the governance problems we built Bastion to solve. They are aspirational examples of what an ideal pilot or partnership looks like, so you can see how the governance story applies to your environment. Reach out if you want to explore running one of these patterns for real.
Mid-market bank (~800 employees)
A regional bank deploys an internal AI agent to draft client-facing communications and initiate back-office workflows. Compliance flags the rollout after the agent produces and sends a message under a relationship manager's name without explicit authorization. The bank needs a governance layer that can prove - retroactively and prospectively - who authorized every agent action and what the intended scope was.
With Bastion, every agent action would be gated against an intent ledger entry signed by an authorized principal. The compliance team could produce a complete, tamper-evident action chain for any audit or regulatory inquiry in minutes - and unauthorized agent communications would be structurally prevented, not just monitored.
IRONLAW rules applied
Large systems integrator (~5,000 employees)
A federal systems integrator prototypes AI-assisted code review and deployment automation for a classified-adjacent environment. Agency security requirements demand that every automated system action carry a verifiable chain of human authority - including the ability to replay any action and demonstrate it would produce the same result under the same authorization context.
Bastion's replay verification capability would satisfy the agency's requirement for deterministic auditability. Any flagged action could be replayed in an isolated environment to confirm its scope and outcome matched the original authorization - the kind of evidence that moves a prototype through security review and into pilot.
"Replay verification is the single capability that would unlock our security review. Without it we are looking at months of manual attestation work."
IRONLAW rules applied
Regional health system (~2,200 employees)
A regional health system pilots an AI agent to assist clinical documentation and administrative scheduling. Patient privacy requirements (HIPAA) and clinical liability concerns mean that any autonomous action touching patient data needs to be traceable to a specific authorized clinician or administrator, with an immutable record that could withstand a legal hold.
Bastion's intent ledger and outcome accountability controls would provide the health system's legal and compliance teams with the evidentiary chain they require. Departments could adopt incrementally, with the privacy officer pointing to the Audit Chain rule as satisfying BAA documentation requirements.
"Our privacy officer would be skeptical that any AI governance tool could meet our standards. The audit chain is the answer she needs."
IRONLAW rules applied
AM100 law firm (~600 attorneys)
An AM100 law firm evaluates AI agents to assist with contract review, due diligence triage, and matter management. Partner accountability requirements - and the professional responsibility rules governing attorney supervision of non-attorney work product - mean any agent-generated output must be supervised, attributable, and revocable at the matter level.
Bastion's command layer would give supervising partners fine-grained control over which agents could act on which matters, with immutable records of every delegation and every output. IRONLAW's Rightful Authority and Least Authority rules map directly to ABA Model Rule 5.3 supervision requirements - governance that speaks the language attorneys already use.
"The IRONLAW framing would make the governance conversation with our ethics counsel much simpler. They understand chain of command immediately."
IRONLAW rules applied
See yourself in one of these scenarios?
We are looking for design partners in regulated industries to run these governance patterns for real.
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