Human-centered systems for AI, data, and governance
Ethical AI needs leadership, not just alignment.
Governance for autonomous systems at the moment decisions are made — not just when rules are written. We build environments that know when to act, when to escalate, and when to say: “I’m not sure.”
The problem isn’t intelligence. It’s authority.
Most governance efforts focus on either model training (alignment) or static guardrails (rules). Both matter. Neither is sufficient when systems operate in messy, high-stakes reality.
The failure mode isn’t “AI is evil.” It’s “AI is confidently wrong” — and still allowed to execute. When uncertainty has nowhere safe to go, systems guess. And guessing is how quiet failures become systemic ones.
Governance at execution time
Instead of asking whether a model is aligned, we ask: who may act, on what, under which conditions — and who is accountable. That’s the difference between principles on paper and responsibility in production.
Ethical Governance at the Moment of Execution
Request / Input
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Context Interpretation
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Uncertainty Evaluation
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Authority & Scope Check
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┌──────────────┬──────────────────┬──────────────────┐
│ Execute │ Escalate │ Defer │
│ (Allowed) │ (Human Review) │ (Insufficient) │
└──────────────┴──────────────────┴──────────────────┘Decisions are governed before execution — not explained after harm.
Context interpretation
Decisions aren’t judged in isolation. We evaluate situational risk, affected parties, downstream consequences, and what the system is actually about to do.
Uncertainty routing
Uncertainty is treated as a signal, not a defect. When confidence drops, the system pauses, escalates, or defers — so “I don’t know” becomes safe and enforceable.
Authority enforcement
Capability is not permission. Execution is gated by role, scope, and responsibility — so systems can’t quietly act beyond what’s allowed.
What we build
Practical systems that hold up in the real world — where edge cases are normal, accountability matters, and trust is earned.
AI governance & oversight
Execution-time controls that route uncertainty, enforce authority boundaries, and require escalation when risk is high. Designed for human review workflows, auditability, and policy enforcement.
Applied AI systems
Product-grade AI features that prioritize reliability over theatrics: transcription, summarization, decision support, and human-in-the-loop interfaces that behave responsibly under pressure.
Data & decision infrastructure
Clean pipelines, traceable logic, and decision provenance — so teams can answer “why did this happen?” without guessing. Governance is a lot easier when the data isn’t a haunted house.
Advisory & prototyping
Fast, pragmatic design-to-proof builds: scoping, architecture, prototypes, and governance patterns that can be implemented without waiting for the perfect committee to form.
Products
CogniScribe
A lecture transcription and study companion designed for health professions education — built for clarity, traceability, and respectful handling of uncertainty.
- High-quality transcription + structured notes
- Study questions generated from the lecture content
- Confidence-aware outputs (knows when it’s not sure)
Status: Active development
Focus: Education-first (not clinical deployment)
Additional governance tooling is in development — focused on execution-time responsibility, auditability, and safe escalation patterns.