Can you prove what this AI can actually cause?
Start with one consequential AI system, one primary assurance question, and the minimum evidence needed to answer it. HAIEC maps supported action and access paths, correlates authority and control evidence where available, preserves what remains unknown, and delivers a technical and executive assurance baseline.
Explore HAIEC's enterprise AI security, assurance, monitoring and governance capabilities through interactive diagrams and evidence-backed industry examples.
12-slide executive deck: value, differentiation, capabilities and enterprise adoption path.
20-slide technical deep dive: architecture, evidence, security, MCP, CI/CD, monitoring, governance and enforcement.
Detailed reference: controls, detectors, framework mappings, integrations, evidence and claim verification.
The executive brief on evidence-bound assurance for consequential AI systems.
A serious-buyer motion for consequential AI decisions.
Policy does not tell you what the implementation can actually do.
An AI application or agent may be intended for one task while its credentials, tools, APIs, code paths or infrastructure expose a broader action surface. Conventional code scanning, governance workflows and questionnaires each see part of the picture. HAIEC evaluates the supported evidence across those boundaries and makes the unresolved gaps explicit.
Any plane can remain UNKNOWN when evidence is insufficient.
One system. One assurance question. One decision.
The POC is deliberately bounded. It is not an enterprise-wide promise of visibility or an open-ended security review. The scope is defined around a customer decision that existing evidence cannot answer confidently.
Examples illustrate the evaluation pattern. Actual support depends on the system, evidence sources and approved scope.
Define the evaluated boundary before analysis begins.
Source code is one evidence source. Depending on scope, HAIEC can also use deployment configuration, infrastructure artifacts, provider metadata, containers and runtime evidence.
Where required, the evaluation can run fully inside your environment — a local Docker deployment with telemetry disabled — so evidence stays inside your boundary for the duration of the POC.
From scope to decision in a controlled evaluation.
Define
Set the business decision, system, consequence, primary assurance question and explicit exclusions.
Connect
Approve the minimum evidence and access required for the question. No broader authority is implied by possession of a repository, credential or environment.
Discover
Identify supported systems, agents, models, tools, dependencies and evidence sources within the evaluated boundary.
Map
Reconstruct supported relationships among identity, credentials, APIs, tools, data, infrastructure and consequential actions.
Validate
Run applicable source, control, isolation, behavioral or other authorized checks based on the selected evidence depth and testing authority.
Prove
Preserve findings, evidence provenance, limitations, unknowns and review outputs.
Review
Deliver a technical working session and executive decision readout.
Use the minimum evidence depth needed for the decision.
Document & Declaration
Documents and customer declarations. No implementation or runtime claim.
Source & Implementation
Approved source and implementation artifacts. Supports implementation-visible findings only.
Control & Authorization
Relevant IAM, permission and control evidence added for authority/capability correlation.
Controlled Behavioral Verification
Authorized lab or sandbox behavior under named identities and explicitly permitted actions.
Production-Relevant Evidence
Approved production-relevant evidence, read-only by default. No implied production actuation.
The selected level is part of the POC scope. More access is not automatically better; the objective is minimum sufficient evidence for the assurance question.
Outputs built for a technical decision — and an executive one.
Potential contracted outputs, depending on scope:
AI System Baseline
A bounded record of the evaluated system, included components, versions/context and evidence sources.
System Constellation
An evidence-linked representation of supported relationships among agents, identity, credentials, tools, APIs, data, infrastructure and consequential actions.
Evidence Coverage / Frontier Map
What evidence was available, what it supports and where coverage remains insufficient.
Security / Control Findings
Material supported findings from applicable source, control, isolation or authorized behavioral analysis.
Authority & Capability Divergence
Where intended or policy-authorized behavior differs from effectively granted access or code-capable action.
Agent Reachability Summary
Reachability conclusions where qualified by source and evidence boundaries.
Shared-Substrate / Potential Influence Paths
Potential influence channels through scope-matched resources or deferred mechanisms, where qualified.
Evaluation-Integrity Exposure
Exposure to evaluator or grading infrastructure where qualified by source evidence.
Unknowns & Limitations Register
Unresolved evidence is recorded rather than converted into a clean result.
Decision Receipt
Structured evidence references and disposition context for selected assurance decisions where supported.
Prioritized Validation Backlog
What should be remediated, re-tested or investigated next.
Executive Decision Readout
A bounded decision readout with possible outcomes: Proceed to Pilot / Remediate & Retest / Evidence Upgrade / Stop or No Expansion.
Decision Outcomes
These are engagement outputs, not guarantees. The final recommendation depends on the evaluated evidence boundary.
A defined evaluation window — after readiness.
A typical bounded POC targets approximately 4–8 weeks for the initial evaluation after the POC Readiness Date. The execution clock begins only after the agreed scope, evidence, access, security/privacy approvals and commercial prerequisites are ready. Phases below are typical and overlap depending on scope.
Enterprise evaluation without unbounded access.
Designed for a cross-functional enterprise decision.
CTO / VP Engineering
Question: Can we scale this AI architecture without carrying hidden action and access risk?
CISO / Product Security
Question: What can this AI-enabled system actually reach, and what technical evidence supports approval?
AI Platform / Architecture
Question: Where do identity, tools, APIs, deployment and agent capability diverge from intended design?
Risk / Compliance / AI Governance
Question: What technical evidence can support the control and governance record, and what remains unknown?
Procurement / Third-Party Risk
Question: What deeper technical evidence is available beyond questionnaires and vendor assertions?
Evidence before assertion.
HAIEC supports technical analysis, evidence collection and control mapping. It does not replace independent legal advice, regulatory determinations or third-party certification. A POC does not imply complete enterprise discovery, universal runtime visibility, a favorable finding, or proof beyond the evaluated evidence boundary.
The questions your board will ask.
What does a HAIEC Enterprise POC evaluate?
One consequential AI system and one primary assurance question. HAIEC maps supported action and access paths, correlates authority and control evidence across five independent planes (Requested, Policy Authorized, Effectively Granted, Code Capable, Observed), and delivers a bounded decision readout with explicit unknowns.
How long does the enterprise evaluation take?
Initial evaluations are commonly 4–8 weeks after the readiness date — after scope, evidence access, security approvals and commercial prerequisites are agreed. Fixed scope, fixed deliverable, no rolling extensions.
Does the POC require production access or telemetry?
No. The engagement follows a minimum-sufficient-evidence ladder: source and implementation artifacts, then control and authorization evidence. Runtime observation is optional and only when explicitly authorized. Where required, the evaluation can run fully inside your environment with telemetry disabled.
What happens when evidence is missing or incomplete?
It stays explicitly UNKNOWN in the report — never converted into a pass or a fail. The Evidence Frontier shows exactly where proof is established, partial, or unavailable, so decisions are made on what the evidence actually supports.
Scope the right question first.
Tell us about the system, the decision you need to defend, and the evidence you can make available. HAIEC reviews fit and boundary before proposing a POC.
Start with the decision you need to defend.
Start focused. One AI system, one assurance question. Establish what the evidence supports. Expand from there.
Typical scoped engagement: $25K–$75K. Initial evaluations are commonly 4–8 weeks after readiness. Final timing, evidence depth, testing authority and deliverables are defined in the SOW.