Evidence-bound assurance for consequential AI systems in your environment.
HAIEC connects source, identity, access, policy, permissions, evidence, and observed behavior to show what your AI systems and agents can reach, change, and trigger — and what the evidence actually establishes.
Founder-led Enterprise Assurance POC
A bounded, scoped engagement — not a self-service subscription upgrade. We work with your team to select a consequential AI system, define the assurance question, connect evidence, and produce evidence-bound findings.
Bounded Scope
One AI system, one assurance question, explicit coverage and limitations.
Evidence-Bound
Findings tied to available evidence. Missing evidence remains UNKNOWN.
No Guaranteed Outcomes
The evaluation produces what the evidence establishes — not a predetermined result.
Start focused. Establish what the evidence supports. Expand from there.
A typical Enterprise Assurance POC begins with a clearly bounded AI system and a priority assurance question. The scope can expand to additional systems, action surfaces, evidence sources, or environments when the initial evaluation supports deeper work. Expansion is evidence-bound and mutual — not automatic.
Enterprise Assurance POC engagements are typically scoped in the $25K–$75K range, depending on system complexity and evidence source coverage. Typical duration is scoped per engagement (commonly 4–8 weeks for the initial evaluation). This is separate from self-service subscriptions.
How an Enterprise Assurance POC works
Select a consequential AI system
Choose the AI system, agent, or integration where assurance matters most.
Define the assurance question
Establish the operating envelope and the specific consequential claim to evaluate.
Connect evidence sources
Connect repository, APIs, infrastructure, and governance evidence.
Analyze capability, access & consequence
HAIEC maps what the AI can reach, what credentials it uses, and what it could trigger.
Produce evidence-bound findings
Receive a structured assurance output with explicit coverage and limitations.
Review results
Walk through the findings, evidence gaps, and the deterministic disposition.
Determine next pilot step
Decide whether to expand scope, deepen evaluation, or move to a design-partner engagement.
Start with a consequential AI system.
Talk to HAIEC about scoping an Enterprise Assurance POC for your environment.