For Team & Product Leads
AI Initiative Pulse Check
Run OBSERVE assessments, monitor initiative health, and track HHI™ trends over time.
Built for: Engineering leads, product leads, and team leads monitoring their own AI initiatives.
Humyn Pulse is a self-serve product that measures whether human oversight in AI workflows is real, reliable, and audit-ready.
It scores oversight quality across AI initiatives, autonomous agents, and automated workflows — giving teams one auditable view of oversight risk, compliance gaps, and maturity.
Two Ways In
Humyn Pulse gives initiative teams a way to measure oversight quality, and governance leaders a portfolio view of where AI risk is building.
For Team & Product Leads
Run OBSERVE assessments, monitor initiative health, and track HHI™ trends over time.
Built for: Engineering leads, product leads, and team leads monitoring their own AI initiatives.
For Governance & Compliance
See portfolio-wide compliance status, regulatory gap triage, and evidence readiness.
Built for: CISOs, AI oversight committees, compliance leaders, and executives accountable for AI risk.
Sample Output
Every Pulse Check returns an auditable HITL Health Index™ score, a six-dimension breakdown, the top oversight risks, and the evidence gaps a regulator would ask about first.
Sample Result · Contract Review AI
Level 2 · Designed HITLTop oversight risk
Human review volume exceeds defined capacity
Evidence gap
No documented escalation threshold
Recommended action
Add confidence-triggered review and assign a named accountability owner
What is Humyn Pulse
Humyn Pulse is a human oversight scoring platform for AI workflows and autonomous agents. It measures whether humans are meaningfully in control, not just listed in the process. Each assessment generates a single auditable HITL Health Index™ (HHI™) score across six dimensions of oversight quality.
Run a structured OBSERVE assessment that maps your real oversight posture, not just what the policy says, but what is actually happening on the ground.
Monitor HHI™ scores across AI initiatives and spot where human control, review quality, or accountability is weakening over time.
Generate evidence-ready outputs that map oversight gaps to EU AI Act obligations, NIST AI RMF functions, and internal governance requirements.
Why It Matters
Every AI governance framework demands meaningful human oversight. Almost none tell you how to measure it, and the rise of autonomous agents is making the gap impossible to ignore.
Most organisations list a human in the loop. Very few have measured whether that human has the authority, time, or signal to actually intervene, or whether they are rubber-stamping under cognitive overload. Regulators are starting to ask.
EU AI Act Art. 14: Rubber-stamp oversight is not meaningful oversight.
Autonomous agents are sending messages, modifying records, and approving transactions inside enterprise workflows today, often with no human checkpoint built in. Oversight frameworks built for static model outputs were never designed for this exposure.
D6 Agentic Readiness is the only HHI™ dimension built for autonomous, multi-step AI behaviour.
When a regulator, board, or incident review asks how you know your human oversight is working, most teams have no structured answer. HHI™ gives you one: a defensible score with a six-dimension evidence trail.
Brookings Institution 2025: "We cannot govern what we cannot measure."
How It Works
The OBSERVE assessment turns human oversight into measurable signals. Each Pulse Check evaluates whether human review is intentional, sustainable, documented, and improving over time.
7 diagnostic prompts · 6 scored dimensions (D1–D6) · 1 HHI™ score
Are the right cases reaching human reviewers?
Example signal · High-risk outputs are routed to review by design, not by accident.
Are reviewers experiencing fatigue or overload?
Example signal · Review volume exceeds defined human capacity.
Do corrections feed back into workflow improvement?
Example signal · Human interventions are logged and used to improve future performance.
Are failure modes named, measured, and designed around?
Example signal · Repeated errors trigger escalation or workflow redesign.
Is oversight documented per use case?
Example signal · Review logs are traceable, tamper-evident, and audit-ready.
Do humans know when the AI is uncertain?
Example signal · Uncertainty, confidence, and exception thresholds are visible to reviewers.
Can humans approve agent plans before execution?
Example signal · Agentic workflows show plan, tool use, and escalation paths before action.
Who It's For
Use Humyn Pulse when you are launching an AI workflow, reviewing an autonomous agent, preparing for compliance review, auditing existing AI initiatives, or tracking oversight maturity over time.
Healthcare
Financial Services
Legal
Public Sector
Enterprise SaaS
Internal AI Automation Teams
Agentic AI Initiatives
Regulatory Coverage
Humyn Pulse scores the oversight quality dimensions that no other tool measures, the dimensions hardest to evidence and most often cited in enforcement.
Humyn Pulse scores directly against the EU AI Act articles governing meaningful human oversight, the articles that are hardest to evidence and most often cited in enforcement.
Every HHI™ dimension maps to NIST AI RMF core functions, including the agentic-specific controls introduced for autonomous systems, giving compliance teams a cross-framework evidence trail.
Agentic Oversight
Autonomous agents that plan and act across multiple steps are already inside enterprise workflows, most without a defined checkpoint, stop condition, or audit trail. D6 (Agentic Readiness) is the only HHI™ dimension purpose-built to score this: whether agent plans are visible before execution, whether sub-agents are accounted for, and whether autonomy is granted in proportion to demonstrated reliability.
Honest scope disclosure: Humyn Pulse focuses on the hardest-to-measure part of AI governance: human oversight quality. It does not replace legal counsel, data governance tooling, model risk platforms, or full EU AI Act compliance systems. That boundary is deliberate: scope honesty is a trust signal, not a limitation.
About
Most AI governance conversations focus on the model. Humyn Pulse focuses on what the model cannot fix: whether the humans governing it, and the agents acting on their behalf, are actually in control.
Humyn Pulse is built by Su Belagodu, founder of Intellectus Advisors and creator of the HITL Maturity Model™ and HITL Health Index™. Her work focuses on helping regulated teams measure human oversight, improve AI adoption, and close the gap between deployment speed and accountability.
Get Started
Run a Pulse Check on one AI initiative and receive a HITL Health Index™ score, oversight gap summary, and regulatory evidence map.