Compliance through trust, not checkbox exercises
Meet August 2026 EU AI Act requirements with infrastructure built for trustworthy AI. Risk management, documentation, and audit trails built in.
August 2026 is not a deadline - it's a forcing function for trustworthy AI
Compliance is a byproduct of trust
Most companies are scrambling to check boxes before August 2026. They're hiring consultants to write documentation for systems they don't fully understand. This is backwards.
Rotascale's position: If you build trustworthy AI systems - with proper monitoring, governance, and audit trails - compliance is a natural outcome. The EU AI Act requirements aren't arbitrary bureaucracy; they describe what responsible AI looks like.
Risk management
The Act requires continuous risk identification and mitigation. Guardian already monitors for sandbagging, drift, and hallucination. That's risk management in action.
Technical documentation
You need to document how your AI works. If you're using Orchestrate, the reasoning chain is captured automatically. Documentation writes itself.
Human oversight
High-risk AI needs human checkpoints. AgentOps defines exactly when and how humans intervene. It's not an afterthought - it's architecture.
Audit trails
Every decision traceable. Every reasoning chain preserved. The "Agent Flight Recorder" in Orchestrate captures exactly what regulators will ask for.
What's coming and when
Prohibited practices
Social scoring, manipulative AI, certain biometric systems banned
GPAI rules
General-purpose AI models must disclose training data, comply with copyright
Full enforcement
All high-risk AI systems must comply. Penalties up to €35M or 7% global revenue.
Embedded AI
High-risk AI in regulated products (medical devices, vehicles)
"If your AI system is trustworthy, proving compliance is documentation. If it's not, no amount of documentation will save you."
How Rotascale maps to the EU AI Act
Every major requirement has a corresponding capability in the Rotascale platform.
Article 9: Risk Management System
Continuous identification, analysis, estimation, and evaluation of risks
Real-time monitoring detects sandbagging, hallucination, and drift. Risk is quantified, not assumed.
Article 10: Data Governance
Training data must be relevant, representative, and free of errors
Continuous evaluation against diverse test sets. Bias detection. Distribution analysis. Data quality signals.
Article 11: Technical Documentation
Detailed documentation of system design, development, and testing
Reasoning chains captured automatically. Agent capabilities documented in registry. Test results preserved.
Article 12: Record-Keeping
Automatic logging of events throughout the system lifecycle
The "Agent Flight Recorder" captures every decision, every reasoning step, every outcome. Immutable audit log.
Article 13: Transparency
Users must know they're interacting with AI and understand its capabilities
Confidence calibration ensures AI doesn't overstate certainty. Hallucination detection prevents confident wrong answers.
Article 14: Human Oversight
Humans must be able to understand, monitor, and intervene in AI decisions
Human-in-the-loop checkpoints. Runtime behavior adjustment via steering vectors. Kill switches built in.
Article 15: Accuracy, Robustness, Cybersecurity
Systems must perform consistently and resist adversarial attacks
Continuous accuracy monitoring. Drift detection. Adversarial robustness testing. Sandbagging detection.
Are you deploying high-risk AI?
The EU AI Act defines specific categories of high-risk AI that face the strictest requirements. If you're in these areas, you need compliant infrastructure.
Financial services
Credit scoring, insurance underwriting, fraud detection. Rotascale has deep expertise in financial AI compliance.
Employment & HR
Recruitment screening, performance evaluation, task allocation. Every decision needs documentation.
Critical infrastructure
Energy, water, transportation systems. Safety-critical AI needs the highest assurance levels.
Healthcare & medical devices
Diagnostic AI, treatment recommendations. Extended deadline to 2027 but preparation starts now.
EU AI Act readiness services
We don't just write compliance documents. We build compliant systems.
Compliance Assessment
$40K
3 weeks. AI inventory with risk classification, gap analysis against EU AI Act requirements, remediation roadmap.
Documentation Package
$75K
6 weeks. Technical documentation, conformity assessment preparation, risk management system documentation.
Full Compliance Implementation
$200K+
12-16 weeks. Rotascale platform deployment configured for EU AI Act compliance. Monitoring, documentation, and audit trails built in.
Seven months to full enforcement
Don't scramble for compliance. Build trustworthy AI systems and let compliance follow.