SorticAI Regulatory Assurance

Reg-Radar for AI, Data and Digital Regulation

AI-assisted regulatory monitoring for legal, compliance, privacy and governance teams. Convert complex regulatory developments into concise, risk-ranked, board-ready drafts for expert review.

From regulatory noise to board-ready AI governance intelligence.

  • Primary-source led
  • Risk-ranked
  • Review-ready
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Radar drafts are prepared for expert review and do not constitute legal advice.

Regulatory monitoring is becoming too fragmented for manual tracking alone.

Regulation evolves monthly. Enforcement evolves quietly. Standards mature incrementally.

AI regulation is accelerating

Legal teams need to track AI Act, GDPR, sector rules, standards and enforcement signals.

Business teams are already using AI

AI adoption often begins before governance, data protection and vendor controls are fully mature.

Legal review capacity is limited

Teams need structured first-pass analysis, not more raw alerts.

Boards need concise assurance

Management needs practical implications, risks and next steps, not long regulatory summaries.

Reg-Radar turns regulatory change into practical review-ready intelligence.

Reg-Radar monitors relevant developments and structures them into an executive-ready format.

What changed

Clear summary of regulatory developments and guidance.

Why it matters

Business impact framed for legal and management audiences.

Risk & confidence

Separated risk level and confidence level for each item.

Sources & open questions

Citations and questions flagged for legal review.

Continuous AI Regulatory Oversight

  • Ongoing EU AI Act implementation tracking
  • ISO 42001 standards interpretation updates
  • Enforcement and litigation signal monitoring
  • Agentic AI governance risk alerts
  • Targeted briefings when regulatory shifts affect your exposure
  • Periodic governance recalibration reports

This converts reactive compliance into structured foresight.

Reg-Radar does not replace qualified legal advice. It creates structured regulatory intelligence drafts for review by legal, compliance and subject-matter experts.

See a Sample Radar

A trimmed illustration of the review-ready draft subscribers receive — structured, risk-ranked and prepared for legal review.

Sample radar Jurisdiction: EU + Czech Republic

Executive summary

  • EU AI Act obligations are moving from framework to operational requirements — organisations using AI across HR, marketing and consumer workflows should begin use-case classification.
  • GDPR and AI convergence remains a priority for consumer brands handling personal data in CRM, marketing automation and customer support AI tools.
  • IP and data licensing terms for AI vendors require review before scaling generative AI in product development and brand asset workflows.

Radar items

EU AI Act: High-Risk AI Classification Guidance

Requires legal review High confidence
What changed

The European Commission published draft guidance on classification of high-risk AI systems under the EU AI Act.

Why it matters

Organisations using AI in HR, consumer profiling, compliance, safety, operational or regulated workflows may need to classify use cases before scaling deployment.

Recommended next action

Create an AI use-case inventory and classify each material use case by purpose, data type, impact, vendor and regulatory exposure.

GDPR: AI-Assisted Processing and DPIA Triggers High risk Medium confidence
What changed

EU data protection authorities continue to issue guidance linking AI profiling, automated decision-making and large-scale personal data processing to enhanced GDPR obligations.

Why it matters

Consumer brands using AI in CRM, marketing personalisation and customer support may trigger DPIA requirements, lawful basis review and vendor due diligence gaps.

Recommended next action

Map AI workflows that process personal data, document lawful bases, and assess whether DPIAs are required for marketing and HR AI use cases.

AI Vendor Contracts: Training Data and Output IP Rights Medium risk High confidence
What changed

Major AI providers continue updating terms on training data use, output ownership and enterprise data retention — creating licensing and IP exposure for brand-sensitive organisations.

Why it matters

Consumer brands using AI for product development, brand assets and confidential commercial information need clarity on who owns outputs and whether inputs may be used for model training.

Recommended next action

Review AI vendor contracts for training-use restrictions, output ownership, confidentiality, subprocessors and exit/data deletion rights.

Illustrative sample with generic content — not client-specific. Radar drafts are prepared for legal review and do not constitute legal advice.

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How It Works

  1. Define your context

    Sector, jurisdiction, regulatory focus and AI use context — captured once when you subscribe.

  2. We monitor and structure

    Reg-Radar tracks relevant regulatory developments and structures them into a concise, risk-ranked draft.

  3. A review-ready radar in your inbox

    Delivered monthly or weekly. Legal and compliance teams validate sources, assess impact and decide next actions.

Where Reg-Radar Helps

AI Act readiness

Identify AI use cases that may require legal classification or governance controls.

GDPR and AI incident readiness

Understand privacy and breach implications of AI workflows.

IP and data rights

Review ownership, licensing and use of AI inputs and outputs.

Vendor and cloud assurance

Assess AI providers, hosting, training-use restrictions and exit rights.

Board-ready reporting

Convert regulatory change into concise executive summaries.

Ongoing monitoring

Maintain awareness of relevant EU and Czech developments.

Built for Review, Not Blind Automation

Primary sources preferred

Official and primary regulatory sources prioritised over secondary commentary.

Uncertainty made explicit

Unsupported claims flagged. Confidence levels separated from risk.

Legal review required

All outputs designed for qualified review before client use.