AI-Powered Compliance
for AI-Enabled Operating Models
Data protection compliance frameworks weren't designed for AI. The widespread adoption of frontier models and increasing deployment of company-specific AI agents create regulatory challenges that traditional compliance programmes struggle to address.
Our AI Compliance as a Service bridges the gap between AI innovation and data protection regulation. We understand both landscapes – the technical architectures of modern AI systems and the regulatory expectations of UK GDPR, ICO guidance, and the incoming EU AI Act.
This dual expertise enables us to provide practical, informed guidance on how new AI capabilities can be deployed whilst meeting regulatory obligations. From Legitimate Interests Assessments through DPIAs to Data Processing Agreements – we help organisations adopt AI responsibly and demonstrate compliance to regulators.
AI-Specific Balancing: Standard LIAs don't address the unique considerations of AI processing. We assess impact on data subjects accounting for reduced transparency, potential for unexpected inferences, and automated decision-making at scale.
Platform-Level Coverage: We establish LIAs that define legitimate interests against which individual AI agents can be screened – enabling scalable governance as your AI deployments expand.
32-Control Toolkit: Systematic assessment against the ICO's AI-specific risk framework covering business requirements, data acquisition, model behaviour, and deployment monitoring.
Architecture-Appropriate: ICO guidance assumes you train your own models. For RAG systems and frontier LLMs, we interpret controls pragmatically – identifying what applies, what needs adaptation, and what's not applicable.
AI Trigger Assessment: AI deployments frequently trigger mandatory DPIA requirements – new technology, systematic monitoring, profiling. We screen your deployments against ICO criteria to determine obligations.
Agent-Level Framework: For multiple AI agents, we establish when platform DPIA coverage applies versus when agent-specific assessment is required – avoiding gaps without unnecessary duplication.
AI Disclosure Requirements: UK GDPR requires specific disclosures for automated decision-making and profiling. We review and update privacy notices to accurately describe AI processing in accessible language.
Meaningful Information: Beyond generic AI references – we articulate the logic involved, significance, and consequences of AI processing to meet regulatory expectations for transparency.
AI Vendor Agreements: AI platforms create complex sub-processor chains involving frontier LLM providers. We assess contracts for Article 28 compliance including zero data retention and training exclusions.
Gap Remediation: Where agreements fall short, we identify specific gaps and recommend amendments to establish compliant controller-processor relationships for AI processing.
High-Risk Classification: We assess AI systems against EU AI Act criteria – including the profiling override that makes systems high-risk regardless of other factors. August 2026 deadline demands preparation now.
Provider Obligations: Creating bespoke AI agents can trigger provider responsibilities under Article 25. We assess whether your configurations require conformity assessments and quality management systems.
Purpose Drift Monitoring: AI systems evolve. We establish monitoring frameworks to identify when agent behaviour or data access changes trigger reassessment requirements.
Agent Screening: As you deploy new AI agents, we provide screening procedures to determine compliance coverage – keeping governance proportionate as capabilities expand.