Services
Building of technical infrastructure to enforce policy-as-code, track data lineage, and ensure algorithmic fairness across all AI deployments in compliance with NIST AI RMF, ISO/IEC 42001, and the EU AI Act. Sub-services include ISO/IEC 42001 AI compliance consulting, algorithmic bias auditing services, EU AI Act technical remediation, and enterprise AI governance dashboard development.
Technical implementation of the NIST AI Risk Management Framework to systematically identify, assess, and mitigate AI risks across the entire model lifecycle, ensuring alignment with federal guidelines and industry best practices.
End-to-end technical and procedural guidance to achieve ISO/IEC 42001 certification for your AI management system, establishing a verifiable, auditable governance structure recognized globally.
Technical assessment and remediation of AI systems to ensure compliance with the EU AI Act's risk-based classification, including conformity assessments, technical documentation, and post-market monitoring for high-risk AI.
Rigorous, mathematical auditing of AI models and datasets for discriminatory bias using frameworks like Aequitas or Fairlearn, providing actionable mitigation strategies and compliance-ready fairness reports.
Engineering of automated governance by encoding compliance rules (e.g., data sovereignty, model use restrictions) directly into CI/CD pipelines and runtime orchestration using tools like Open Policy Agent (OPA).
Development of a centralized, real-time dashboard providing a single pane of glass for model inventory, performance metrics, compliance status, drift detection, and audit trails across all AI deployments.
Implementation of a systematic registry and management platform for tracking all AI assets from development through deployment to decommissioning, ensuring full lineage, version control, and compliance documentation.
Development of specialized incident response playbooks and technical runbooks for AI-specific failures, including model drift, adversarial attacks, bias incidents, and regulatory breaches.
Engineering of immutable, granular logging systems that capture all model inputs, outputs, decisions, and user interactions to create a defensible audit trail for compliance, debugging, and forensic analysis.
Integration of techniques like SHAP, LIME, and counterfactual explanations to make complex model decisions transparent and understandable for regulators, auditors, and internal stakeholders.
Specialized governance frameworks and technical controls for generative AI systems, addressing unique risks like hallucination, intellectual property, content moderation, and prompt injection attacks.
Implementation of systems to manage the provenance, quality, licensing, and ethical sourcing of training datasets, ensuring they meet compliance standards and do not introduce legal or reputational risk.
How We Work
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
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We understand the task, the users, and where AI can actually help.
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We define what needs search, automation, or product integration.
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We implement the part that proves the value first.
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We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
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