Regulated industries face the same challenge: AI deployment outpacing the governance infrastructure needed to defend it. Gradaris gives compliance teams continuous, auditor-ready evidence — without slowing down the teams building.
Credit scoring, fraud detection, investment advisory, and loan decisioning are all classified as high-risk AI under EU AI Act Annex III. Every one of those systems needs a conformity assessment, continuous audit logs, and human oversight documentation — before August 2, 2026.
Full Annex III requirements apply to all financial services AI in production. Non-compliance risks regulatory action, fines under Art. 99, and suspension of AI deployment.
Credit analysts, portfolio managers, and HR teams are deploying AI agents through ChatGPT, Copilot, and no-code tools — completely outside IT governance. You can't govern what you can't see.
When a regulator asks to see the audit log for your credit scoring model's outputs from Q3, the answer shouldn't be a spreadsheet assembled under time pressure.
The EU AI Act high-risk obligations are mandatory for financial services AI in under five months. Most institutions have identified the problem but haven't stood up the infrastructure.
GDPR Art. 22 and EU AI Act Art. 14 both require documented human oversight for automated decisions affecting individuals. Attestation by memory doesn't pass scrutiny.
Every agent decision is logged with a SHA-256 integrity hash. Tamper-evident by design — exactly what Art. 12 requires, available on demand to any auditor.
GGS scores update in real time. Grade drops trigger automatic alerts before they become regulatory findings. No more quarterly point-in-time snapshots.
On-demand PDF governance reports with article-level EU AI Act mapping, per-agent grades, and a digital certificate of integrity. Hand directly to an examiner.
Register any AI agent — including those built in no-code tools by business units — through a plain-English form. Governance baseline generated automatically, compliance team notified.
Structured override and review logs that satisfy Art. 14 and GDPR Art. 22. Every human review decision is timestamped, attributed, and immutable.
Step-by-step Art. 43 conformity assessment workflow with gap tracking, evidence collection, and a final certificate. Required before deploying any new high-risk AI system.
Diagnostic AI, clinical decision support, patient risk stratification, and administrative automation all carry high governance stakes. When AI influences a care pathway, the evidence standard is higher — not lower.
Clinicians must be informed when AI is influencing a recommendation, with confidence scores and evidence trail available.
MDR and EU AI Act Art. 72 both require continuous monitoring of AI performance in clinical environments.
AI systems making clinical decisions must be monitored for disparate outcomes across patient demographics.
Every AI-influenced clinical recommendation is logged with the input data, model version, confidence score, and outcome — immutable and available for retrospective review.
GGS grades calibrated to clinical risk — a model with patient-facing outputs receives stricter Tier 1 controls than administrative AI, reflecting actual consequence severity.
Post-market surveillance built in. Drift detection, equity monitoring across demographic groups, and alerting when model performance degrades outside safe operating bounds.
Legal and compliance functions are being asked to sign off on AI systems they didn't build, can't audit, and have no governance trail for. Gradaris gives them the documentation layer that turns AI systems into defensible, auditable assets.
ABA Formal Opinion 512 (July 2024) requires firms to establish governance policies for AI use and document supervisory responsibility under Rules 5.1 and 5.3. Gradaris provides the immutable record of oversight exercised — per client matter, per AI tool, per decision — ready for bar compliance review or client disclosure under Rule 1.4.
Every assessment maps to specific articles in EU AI Act, GDPR Art. 22, and ISO 42001. AI used in legal proceedings and justice administration is high-risk under EU AI Act Annex III — enforceable from August 2026. Gradaris maps Art. 9 (risk management), Art. 13 (transparency), and Art. 14 (human oversight) obligations directly to your AI estate.
A single registry of every AI tool in use across the firm — who approved it, what matters it touches, how it's classified under Annex III, and its current governance grade. The foundation for any ABA Opinion 512 compliance programme and the evidence base for client disclosure obligations under Model Rule 1.4.
Enterprise IT is being asked to govern AI systems built by every team in the organization — from engineering using LangChain to operations using Copilot. Gradaris provides a single governance control plane that works however the agent was built.
pip install gradaris-sdk from gradaris import GovernanceClient client = GovernanceClient( api_key="grd_live_..." ) # Wrap any agent call with client.trace( agent_id="credit-scoring-v2", user_context=user_data ) as trace: result = your_agent.run(input) trace.log_decision(result) # Governance record created ✓
Python SDK for engineering teams, webhook connector for power users, plain-English form for everyone else. All three paths produce the same governance record — same API, same evidence standard.
Async telemetry means governance instrumentation adds no measurable latency to agent calls. 12 risk signal types auto-detected. SHA-256 hashing happens in the background.
Per-tenant API key routing with Row Level Security. Business unit data never crosses tenancy boundaries. Audit logs are isolated and segregated at the database level.
Single pane of glass across every registered AI agent. Grade changes, upcoming assessment deadlines, and open remediation items — all in one place for IT governance teams.
Book a 30-minute walkthrough and we'll map Gradaris to your specific AI agents, regulatory obligations, and governance gaps.