AI Governance Infrastructure
You deployed AI across your organization. You have no idea what it is doing. Aondor sits between your AI tools and your humans, evaluating every output before it reaches a clinician, attorney, or analyst. Real-time visibility. Deterministic enforcement. Board-ready reporting.
It does not replace your AI tools. It governs them.
Organizations are deploying AI across clinical workflows, legal analysis, financial processing, and customer operations with no governance layer between the model and the human who acts on its output.
Most organizations cannot answer basic questions: How many AI outputs reached humans last month? How many were flagged? How many contained sensitive data? How many came from a model with zero native safety on adversarial prompts?
Without infrastructure, there is no visibility. Without visibility, there is no governance. Governance lives in a binder. The AI does whatever it wants.
Dual-pipeline architecture with bidirectional feedback. What one layer misses, the next catches. The feedback loop recovers up to 5 additional adversarial turns per session. Combined detection rates of 76.7–98.3% across Claude Opus 4.6, GPT-5.2, and Grok 4.1. Model-agnostic. Deterministic. Auditable.
Clinical AI operates blindly without an audit trail. Health systems are deploying documentation assistants, clinical decision support, and patient-facing chatbots with no governance layer between the model and the clinician.
B3 HIPAA configuration: all 18 identifiers, PHI detection, de-identification triggers, consent verification gates, compliance scoring 0–100.
EU AI Act high-risk obligations: August 2026. Texas, California, Illinois AI transparency laws: already in effect.
On February 10, 2026, Judge Rakoff ruled that AI-generated documents created without direct counsel direction were not protected by privilege. Every law firm using AI tools has ungoverned, discoverable outputs right now.
Counsel direction attestation on every AI interaction. Work product doctrine compliance logging. Conflict of interest detection. SHA-256 content hashing for tamper evidence.
United States v. Heppner, No. 25-cr-00503-JSR (S.D.N.Y. Feb. 10, 2026)
30-day evaluation. API proxy deployment: route existing AI traffic through Aondor with no changes to your tools, workflows, or vendor relationships. Real-time dashboard access throughout. Compliance-ready report at conclusion.
Includes real-time governance dashboard, compliance report with gap analysis, and full audit trail of every AI interaction during the pilot period.
Converts to monthly SaaS licensing, tiered by volume of AI outputs processed.
A single discoverable AI document in litigation could cost millions.
A single ungoverned clinical output creates unmeasured liability.
This pilot costs a fraction of one senior partner billable hour.
Healthcare compliance officers. General counsel. Litigation partners.
If you need governance infrastructure before your next board meeting or your next case, we should talk.