High Assurance In Every Consequence

Evidence-bound assurance
for consequential AI.

See what your AI can do. Establish what it is allowed to do. Trace the evidence behind the decision.

The Assurance Problem

A passing scan or valid permission is not the final decision

AI can act across applications, APIs, data, infrastructure, customer state, and regulated workflows. Leadership needs to know which boundary each piece of evidence actually establishes.

01

What do we intend this AI to do?

02

What operating authority has the organization approved?

03

What can its credentials and connected systems permit?

04

What can the application technically do?

05

What has actually been observed?

06

Where do those boundaries disagree?

Serious assurance does not turn missing evidence into a green check. Unknown is a boundary on the claim, not something to hide.

AI Action & Access Map

See where approved access and available authority diverge

Follow one consequential action from request to outcome while keeping intent, policy, application capability, system authority, and observed evidence distinct.

Synthetic demonstration

AI Action & Access Map

One request, two operating boundaries, one material difference.

ACCESS CHANGE / v1
Material divergenceThe system can reach a stronger action than the organization approved.
IntendedGive Alex access to one project
ApprovedViewer access only
ApplicationCan submit a role change
AuthorityCan assign Administrator
ObservedNot yet established
Customer Outcome

What the organization may know afterward

Outputs depend on the evaluated scope and evidence actually available. Nothing below converts an unavailable source into an established claim.

Evaluated Scope

The artifact, version, system boundary, evidence sources, and exclusions attached to the evaluation.

Action & Access Analysis

The code-capable action surface and qualified authorization evidence, kept distinct from intent and observation.

Evidence Coverage

What was established, inferred, unavailable, not provided, not assessed, or requires deeper verification.

Material Divergence

Mismatches among intended, approved, effectively granted, code-capable, and observed boundaries where supported.

Evidence-Gap Plan

The smallest additional evidence or remediation that would materially strengthen the claim.

Decision Receipt

A bounded assurance decision, its evidence lineage, confidence boundary, and the next executive choice.
Commercial Paths

Productized platform access and bespoke assurance solve different problems

DimensionHAIEC PlatformEnterprise Assurance POC
Starting motionSelf-serviceFounder-led scoping
System boundarySupported product workflowExplicit enterprise boundary
Evidence pathStandard integrations and rule packsMinimum Sufficient Access plan
Operating policyStandard workflowOrganization-specific operating boundary
Acceptance criteriaProductizedAgreed POC decision criteria
OutputStandard platform resultsExecutive and technical decision readout
Commercial modelSubscription$25,000 to $75,000 scoped engagement
CheckoutAvailable on HAIEC.comNo checkout. Qualification first.
Evidence Access

Begin with the strongest bounded claim the available evidence can support

Complete source and runtime access is not required to begin scoping. Missing evidence is identified, not ignored.

Repository and artifacts

Public or private GitHub, GitLab, Bitbucket, source archive, package, schemas, architecture documentation.

Authority and environment

Policy, identity, authorization, cloud configuration, API endpoint, sandbox, test credentials.

Behavioral evidence

Logs, traces, test execution, production-relevant read-only evidence, or a representative synthetic system.
Other Entry Routes

Enterprise POC is not the only path

Design Partner

For selected organizations helping qualify assurance workflows against representative enterprise systems. Not a free beta.

Explore Design Partnership →

Partner & Agency

For security firms, consultancies, MSPs, integrators, and technology partners evaluating repeat delivery or evidence integration.

Discuss Partner Access →

Developer & Open Source

Independent developers and maintainers can begin with a repository, package, schema, test environment, or representative artifact.

Submit a Project or Repository →
Research Boundary

Permission is not delegation

HAIEC research examines whether an authorized system action was actually delegated, which effects are possible, and what evidence is required to support that claim. Research direction is not presented as current universal proof capability.

Inspect the research program →

What consequential AI decision can your current controls not defend confidently?

Start with one AI system, one material action boundary, and one decision. HAIEC will identify the strongest bounded claim the available evidence can support and what would materially strengthen it.

AI Advisor →