Real Results with Littledata.ai

A 50-person AI-first SaaS company needed to achieve EU AI Act readiness before the enforcement deadline. Their compliance team had no prior regulatory tooling, and their AI systems spanned four product lines with overlapping risk profiles. A manual assessment would have taken 3–4 months.

The team used Littledata.ai to perform automated risk classification across all AI systems, generate Fundamental Rights Impact Assessments (FRIAs), and produce regulator-ready technical documentation. The compliance dashboard gave their DPO a real-time view of Article-by-article coverage.

Full compliance readiness achieved in under 2 weeks. Three high-risk systems identified that required additional controls. All documentation was generated automatically and passed a pre-audit review by an external EU AI Act consultant.

A mid-size financial services firm was running 12 AI models in production across credit scoring, fraud detection, and customer communications. They faced simultaneous audits against NIST AI RMF, ISO 42001, and GDPR Article 22 — each with different evidence requirements and separate reporting structures.

Littledata.ai's cross-framework mapping engine automatically identified overlapping controls across all three frameworks, allowing the team to collect evidence once and satisfy multiple auditors. The unified risk scoring dashboard gave their CISO a single view of all 12 models.

85% of framework requirements were satisfied automatically through shared controls. The team reduced compliance workload by two-thirds and passed all three audits within the same quarter. A single dashboard now covers all active frameworks continuously.

A Series B AI startup had deployed 30+ autonomous AI agents across their product and internal operations. They had no centralised visibility into agent behaviour, no policy enforcement layer, and an upcoming SOC 2 audit that required OWASP Agentic AI Top 10 controls to be documented and enforced.

Littledata.ai's agent discovery module scanned their infrastructure and auto-registered all 30+ agents. Guardian policies were applied to enforce prompt injection controls, data exfiltration prevention, and scope boundaries. Real-time monitoring with circuit breakers provided automated kill switches for policy violations.

Complete agent inventory and policy coverage achieved on day one. Policy violation rate dropped 40% in the first week through automated enforcement. The SOC 2 auditor accepted the Littledata.ai evidence export as complete documentation for agentic AI controls.