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THE END-TO-END PLATFORM FOR AI COMPLIANCE

The system of record for AI compliance.

Register every AI system and agent once. Documents, questionnaire answers and your public trust page all derive from that record — with a citation behind every claim.

One operating record
systems, agents, owners, approvals and controls held in one live registry
Framework-ready
global regulations, standards and buyer controls mapped from the same source
Evidence-linked
documents, answers and trust disclosures stay tied to underlying records
OPERATING RECORD
LIVE
AUR-114Autonomous underwriting agentHigh risk
OWN-008Owners and approvals assigned4 teams
EVD-031Controls and evidence linked14 records
Coverage
EU AI ActMapped
ISO/IEC 42001Mapped
Buyer security reviewReady
Trust state
One source powers the full stack, clearly.
Inventory, obligations, documents, diligence answers and trust disclosures remain in sync because they all resolve to the same reviewed record.
THE FULL STACK, AT A GLANCE
Classify
Risk tier, obligations and owners
Document
Technical files, policies and packs
Answer
Buyer, security and procurement reviews
Trust
Public disclosures and gated evidence
The standard for AI governance

Registry, classification, documentation, buyer diligence and public trust — unified on one evidence base.

Systems and agents share the same obligations, so Hael governs both from one record. The work that sits today across legal, security, engineering and compliance runs on a single source of evidence — built to the standard auditors, buyers and regulators already expect.

THE PLATFORM

One registry. Systems and agents. Everything derives from it.

Systems or agents, the obligations are the same — and Hael governs both from one registry. Register an AI system or an autonomous agent once: classification, documents, questionnaire answers and your public trust page all draw from the same record, and stay in sync because they share a source.

AI SYSTEMS + AGENTS · ONE REGISTRY
UND-014 · Underwriting Copilot (agent) · High
FRD-021 · Fraud Scoring Model · Limited
CHT-031 · Customer Support Chat (LLM) · Minimal
Audit-ready files
The Annex IV, ISO 42001 or model-card pack — written, sourced, ready to send.
Buyer questionnaires
Security and procurement answers, drawn from your own evidence.
Public trust page
A live page customers and buyers can read before they ask.
Regulator filings
What the EU AI database expects — prepared in the same place.
Five modules. One source of truth.
Who we are

The category standard for AI compliance.

Hael is the platform organisations use to prove every AI system and every AI agent they run is lawful, tested and accountable — designed so the people who read the file can trust it, and the people who write it can defend it.

One registry for systems and agents
Models, LLM features and autonomous agents all sit on the same record, under the same obligations — not a separate module bolted on later.
Regulatory counsel in the loop
Shaped by practising counsel — not consultants writing about regulation from the outside.
Mapped across global AI frameworks
Outputs tie back to the specific articles, controls and functions your team is working against — not a hand-wavy framework badge.
Security-grade buyer trust
Trust-center sharing, review trails and evidence-linked answers give buyers the feel of a mature assurance programme, not ad hoc AI paperwork.
Purpose-built for AI compliance
Built from day one to produce the documentation regulators, auditors and procurement teams actually read — not a GRC tool with an AI module bolted on.
Built to earn trust quickly
The homepage, trust center and buyer outputs are designed to signal control, seriousness and completeness the moment a prospect or auditor lands on them.
Continuous, not point-in-time
When a system or agent changes, dependent documents are flagged stale and regenerated with a visible diff. Your file is current the day the regulator asks for it.
WHY HAEL

Built for the documentation, not the checklist.

Evidence first
Every answer, document and disclosure resolves to a record, control, approval or source in your operating registry. Buyers and auditors can follow the trail without asking your team to reconstruct it by hand.
Reviewable by design
Hael is built so legal, compliance, security and auditors can inspect what changed, who approved it and what evidence supports it before anything is shared.
Always current
When a system or agent changes, dependent documents, questionnaire answers and trust-center disclosures are flagged stale and regenerated from the updated source record.
Product · Registry

Every AI system, on the record.

One record per system: what it does, what data it touches, who owns it, what risk it carries. Seven questions to register; five minutes; no statute reading. The registry is the single source every document, answer and page derives from — change a system, and everything built on it knows.

Hael Registry — system profile and record generation
Classification · UND-014
Underwriting copilot agent
High risk · Annex III(5)
Plain-English verdict
This is high-risk because the agent materially influences a consumer's access to credit.
Maintain risk management and post-market monitoring
Evidence human oversight before deployment approval
Document training data controls and testing results
Obligation packs
Art. 9Open · 3 controls outstanding
Risk management
Art. 10Ready · evidence mapped
Data governance
Art. 14Review · owner assigned
Human oversight
Product · Classify

Turn AI inventory into obligations, instantly.

Hael classifies every system and agent, explains the decision in plain language, and maps the exact obligations, owners and next actions across the frameworks that apply.

Product · Documents

Produce documentation that stands up to scrutiny.

Technical files, transparency notices, readiness packs, model cards and buyer evidence sets — generated from the live record, reviewed before release and kept aligned as the system changes.

Generated set
Annex IV file
Ready for review
Article 50 notice
Approved
ISO 42001 pack
Evidence linked
Buyer packet
Pending sign-off
Annex IV technical documentation
AUR-001 · draft v7
second-eye review passed
§3.2 Risk management measures3 sources attached
Residual model risk is controlled through challenger-model review, weekly population sampling and quarterly governance sign-off against the approved risk plan.
Source
Registry control AUR-001 / Art. 9(2)(d)
Reviewer
Independent QA counsel check completed
Status
Ready for export and buyer review
Buyer diligence · AI governance and security review
18 / 24 drafted
How do you govern AI systems and agents in production?
Each system and agent runs from a named operating record with owners, approval history, mapped controls and linked evidence.
Registry-backed4 linked sources
How do you evidence review and oversight before release?
Hael shows approvers, review dates, control status and the underlying records used to clear the release.
Review trail3 approvals
Answer controls
Approvals
Legal, security, compliance
Sources
Registry, controls, decision logs
Share state
Ready after final review
Ready to send
The same record powers the answer, the file and the trust center.
Product · Questionnaires

Answer diligence at the speed of your evidence.

Upload the questionnaire. Hael drafts each response from approved records, shows exactly what supports it and keeps your answers aligned with the documents and trust center the buyer will inspect next.

Product · Trust Center

Publish an AI assurance layer buyers recognise immediately.

Give customers a serious trust center for AI: disclosed systems, framework coverage, review status, named owners and controlled evidence access — all generated from the same live registry your documents and diligence answers use.

Trust Center · live assurance portal
Show the AI programme buyers expect to see.
Live registry-backedNDA-gated evidence
Autonomous underwriting agent
High risk
Status
Reviewed
Coverage
EU + ISO
Evidence
9 linked controls
Claims triage copilot
Limited risk
Status
Reviewed
Coverage
EU + ISO
Evidence
6 linked controls
Customer support assistant
Minimal risk
Status
Reviewed
Coverage
EU + ISO
Evidence
4 linked controls
Assurance summary
Latest review state
Reviewed by legal, security and compliance.
Buyer-facing disclosures, control mappings and requested evidence are generated from the same approved record.
Framework coverage
EU AI Act, ISO/IEC 42001, NIST AI RMF, GDPR and buyer security controls mapped from one source.
Available packages
Buyer diligence pack, control mapping export, technical file excerpts and review trail — all access controlled.
Trust signals
Named owners, latest approvals, control status and evidence counts visible before a prospect asks for them.
Annex IV technical file
Underwriting copilot · v2.4
100% grounded
The system is classified as high-risk under Annex III(5) of the EU AI Act. Residual model risk is controlled through challenger-model review, weekly population sampling and quarterly governance sign-off against the approved risk plan. Human oversight is documented under control AUR-001.
Source · AUR-001 Risk managementReviewed · counsel
Weekly override sampling cadence — recorded in the system registry, mapped to Article 9(2)(d) of the EU AI Act.
Every sentence linked to a source record14 / 14 cited
Product · Provenance

100% ground truth. Every line, sourced.

Every sentence in a Hael document is tied to a record in your registry — the system it describes, the obligation it satisfies, the person who approved it. Your reviewer, your auditor and your buyer can follow that trail end-to-end.

From first record to audit-ready.

Register a systemSTEP 3 / 7
What does this system decide?
Autonomous underwriting agent
01
Register
Tell Hael about the system. Seven questions. Five minutes.
Hael’s verdict
High risk · credit decisioning
Material impact on customer outcomes. Obligations, owners and next actions mapped.
02
Classify
Hael tells you the risk tier, the obligations and the deadlines — in plain English.
Audit-ready file✓ COUNSEL REVIEWED
§3.2 Risk management controls
Drafted from your registry, reviewed, source-linked and ready to share.
03
Document
Hael writes the file — sourced, reviewed, ready for an auditor.
Buyer questionnaire · governance
How do you evidence governance, review and oversight for AI systems and agents?
Drafted from approved records with 4 linked sources and trust-center evidence.
04
Answer
Buyer questionnaires and your trust page, drawn from the same record.
GET COVERED

Coverage for the frameworks that shape AI decisions.

One registry, mapped clause-by-clause to the regulations and standards your buyers and auditors ask about.

Explore all frameworks →
TRUST, SECURITY AND EVIDENCE

The proof layer buyers, auditors and security teams expect to see.

Named owners
each system, control and approval linked to accountable people — not anonymous paperwork
Review trail
legal, compliance and security review history visible before anything is shared
Secure sharing
trust center links, buyer packets and NDA-gated evidence rooms derived from the same record
The system of record for AI compliance

AI compliance, proven.

Every claim about your AI, substantiated — to your buyers, your auditors, your regulators. From a single source of truth.

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