HAIEC vs Holistic AI
Deterministic compliance engines vs AI-powered governance.
Both platforms help organizations manage AI risk. The difference is how. HAIEC produces verifiable evidence with deterministic engines. Holistic AI analyzes AI systems with AI.
Choose HAIEC if you need:
- Deterministic, non-AI compliance engines
- Tamper-evident, independently verifiable evidence
- Continuous compliance monitoring (Compliance Twin)
- Cross-framework remediation (fix once, resolve everywhere)
- Transparent pricing without sales calls
- Patent-pending compliance technology
Choose Holistic AI if you need:
- Deep statistical bias auditing (ML-powered)
- Hands-on consulting and advisory services
- NYC LL144 bias audit execution (not just readiness)
- AI risk classification with ML models
- Managed compliance services
- Enterprise advisory relationships
The Fundamental Difference
This is not a feature comparison. It is a philosophy comparison. How you verify AI compliance matters as much as what you verify.
Deterministic vs Probabilistic
HAIEC uses deterministic rule engines. Given the same input, you get the same output every time. No model drift, no hallucinations, no unexplainable results.
Holistic AI uses machine learning models to analyze AI systems. Results may vary between runs. The analysis itself is an AI system — subject to the same scrutiny regulators apply to your AI.
Verifiable vs Trust-Based
Every HAIEC evidence bundle is cryptographically signed with HMAC-SHA256, anchored in a Merkle tree, and independently verifiable. A regulator can verify your compliance evidence without trusting HAIEC.
Holistic AI produces reports. You trust the report because you trust Holistic AI. There is no independent verification mechanism.
Continuous vs Point-in-Time
Compliance Twin maintains a versioned history of your compliance state. It detects regressions, performs root cause analysis, and maps remediation across frameworks — continuously.
Holistic AI provides point-in-time audits and assessments. Ongoing monitoring requires repeated engagements.
Self-Service vs Managed
HAIEC is a platform. You run assessments, configure rule packs, export evidence, and verify bundles yourself. No waiting for consultants.
Holistic AI combines software with consulting services. This provides expert guidance but creates dependency on their team and timeline.
Feature-by-Feature Comparison
| Feature | HAIEC | Holistic AI |
|---|---|---|
Core Approach Regulators scrutinize AI — using AI to check AI creates circular risk | Deterministic rule engines | AI/ML-powered analysis |
Evidence Type HAIEC evidence is independently verifiable at haiec.com/verify | Tamper-evident, cryptographically signed | Reports and dashboards |
Patent Status Covering compliance twin, cross-framework mapping, evidence fingerprinting | 5 patents pending | No published patents |
NYC LL144 Support Both cover LL144 — different approaches | Full enforcement readiness check | Bias audit services |
EU AI Act Support Both cover EU AI Act | Rule-based compliance checks | Risk classification + audit |
Colorado AI Act HAIEC has jurisdiction-specific rule packs | Full enforcement readiness check | Limited coverage |
Continuous Monitoring HAIEC detects drift with regression analysis and root cause | Compliance Twin with versioned snapshots | Dashboard monitoring |
Cross-Framework Mapping 13 normalized control categories across 9 frameworks | Patent-pending: fix once, resolve across frameworks | Manual per-framework work |
Bias Auditing Holistic AI provides deeper statistical analysis | Compliance checks (not statistical auditing) | Full statistical bias audit |
Consulting Services Holistic AI offers hands-on advisory | Self-service platform | Managed services + consulting |
Pricing Model HAIEC publishes pricing; Holistic AI requires sales call | Transparent: $99-$999/mo | Custom enterprise pricing |
Free Tools Try before you buy | Enforcement preview, law finder, self-audit | None publicly available |
Verification Anyone can verify HAIEC evidence bundles | Independent verification portal | Trust the report |
The Circular Problem with AI-Powered Compliance
Regulators are writing laws specifically because AI systems can be opaque, biased, and unpredictable. Using AI to verify AI compliance creates a circular dependency:
- The compliance tool itself is an AI system subject to the same regulations
- ML model outputs are probabilistic — different runs may produce different results
- A regulator cannot independently verify an AI-generated compliance assessment
HAIEC avoids this entirely. Deterministic engines. Same input, same output. Every time. No model to audit. No AI to explain. Just verifiable rules and cryptographic evidence.
Frequently Asked Questions
Is HAIEC a good Holistic AI alternative?
HAIEC is an excellent alternative if you want deterministic, verifiable compliance rather than AI-powered analysis. HAIEC is stronger for continuous monitoring (Compliance Twin), cross-framework remediation, and tamper-evident evidence. Holistic AI is stronger for deep statistical bias auditing and hands-on consulting. The choice depends on whether you prioritize verifiability or advisory services.
Why does it matter that HAIEC is deterministic?
Regulators are increasingly scrutinizing AI systems. Using AI to audit AI creates a circular problem — your compliance tool is itself subject to the regulations it is checking. HAIEC avoids this entirely with deterministic rule engines. Same input, same output, every time. No model drift, no unexplainable results, no additional regulatory exposure.
What are HAIEC patent-pending innovations?
HAIEC has 5 patent-pending innovations: (1) Compliance Twin — continuous versioned compliance state, (2) Root Cause Analysis — automated regression detection and cause identification, (3) Cross-Framework Remediation — fix once, resolve across 9 frameworks, (4) Modular Rule Engine — jurisdiction-specific rule packs with custom composition, (5) Cryptographic Evidence Fingerprinting — tamper-evident Merkle tree evidence bundles.
Does Holistic AI provide tamper-evident evidence?
No. Holistic AI produces reports and dashboards, but they are not cryptographically signed or independently verifiable. HAIEC evidence bundles use HMAC-SHA256 signatures and Merkle tree integrity proofs that anyone can verify at haiec.com/verify without trusting HAIEC.
Can I use HAIEC and Holistic AI together?
Yes. Some organizations use Holistic AI for deep statistical bias auditing (where ML analysis adds value) and HAIEC for continuous compliance monitoring, cross-framework mapping, and tamper-evident evidence generation. The tools address different aspects of AI governance.
Which is better for NYC Local Law 144?
Both cover NYC LL144 but differently. Holistic AI provides statistical bias audit services (the audit itself). HAIEC provides enforcement readiness checks, compliance monitoring, and evidence generation (the compliance infrastructure around the audit). If you need the bias audit performed, Holistic AI. If you need to prove ongoing compliance readiness, HAIEC.
Compliance should be verifiable, not claimable.
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