What is HAIEC?
HAIEC provides evidence-bound assurance for consequential AI systems.
It connects source, identity, access, policy, permissions, capability evidence, and observed behavior to show what AI systems and agents can reach, change, and trigger, and what the evidence actually establishes.
What does HAIEC mean?
HAIEC is the Human AI Evidence Company. Our tagline: High assurance in every consequence.
AI may reason probabilistically. Consequential actions require assurance. HAIEC reports what was evaluated, what the evidence supports, and what remains unknown. The brand meaning reflects where AI systems are going and the assurance problem HAIEC is built to address.
The brand meaning is a direction, not a claim that every possible consequence of every AI system has already been observed or verified.
What problem does HAIEC solve?
AI systems and agents can take consequential actions: calling tools, modifying infrastructure, accessing data, triggering downstream effects. Most organizations:
Do not know what their AI systems can actually reach or change
Cannot distinguish what evidence establishes from what is unknown or missing
Treat permission as delegation, assuming that because an AI can do something, it was authorized to
Cannot produce defensible evidence when challenged by auditors or regulators
HAIEC addresses this by connecting evidence to an AI Action & Access Map, evaluating what the evidence establishes within a defined scope, and making gaps visible rather than silently converting absence into assurance.
What the AI Action & Access Map shows
The AI Action & Access Map is the product centerpiece. Where supported by connected evidence, it shows what an AI system or agent can reach: tools, credentials, applications, network paths, and service controls. It also shows what consequences those reach paths could result in, and what remains unknown.
The map is built from connected evidence: source analysis, identity and access evidence, policy evidence, credential evidence, and runtime evidence where connected. It makes the difference between what an AI could do and what the evidence establishes visible.
Permission is not delegation. Knowing that an AI has permission to call a tool does not prove that the consequential choice was delegated to it. The map shows reach; it does not claim authorization.
What Evidence means
Evidence is information connected to an AI system or assurance evaluation. HAIEC preserves source, provenance, scope, coverage, and limitations so assurance can distinguish established facts from partial or missing evidence.
Missing evidence remains missing evidence. HAIEC does not silently convert absence into assurance. Evidence does not itself equal assurance.
What Assurance means
Assurance is the bounded evaluation of evidence within a defined scope. It produces a disposition: ALLOW, REVIEW, or BLOCK, based on what the evidence actually establishes.
ALLOW means ALLOW within the evaluated scope and available evidence. It is not a universal safety determination, certification, or deployment approval.
Where supported, assurance packages and decision receipts preserve the evaluation output for review. HAIEC applies configured policy or assurance gates before deployment where configured. Framework mapping supports assurance but does not equal assurance. Assurance does not equal certification.
What HAIEC does NOT claim
Who uses HAIEC?
Executives and risk owners
Responsible for understanding what their AI can do
Compliance and legal teams
Needing defensible evidence with clear provenance
Security and governance managers
Aligning stakeholders around what is established vs. unknown
Developers and engineers
Building AI systems that need to be understood before they act
What makes HAIEC different?
Evidence-bound, not score-based
Reports what the evidence establishes and what remains unknown
Map-centered
Shows what AI can reach, change, and trigger, not just a risk number
Bounded assurance
ALLOW means within evaluated scope, not universal safety
Gaps stay visible
Unknown stays unknown. Partial stays partial. Not evaluated stays not evaluated.
Explore HAIEC
See the AI Action & Access Map in action, or explore the full platform.