AI governance that actually ships. Practitioners do the thinking. AI does the heavy lifting. 40-50% less than traditional consulting.
The Big 4 take 9-12 months and charge £750k-£2m. SaaS platforms assume internal capability you don't have. Neither option works.
Shadow AI proliferates while boards lack visibility. Regulators are tightening expectations. The vast majority of organisations still run AI governance through spreadsheets and manual processes. The gap between AI adoption and governance capability is widening every quarter.
See how Moralto solves this →EU AI Act high-risk enforcement August 2026. PRA SS1/23 already live. FCA Consumer Duty applies to AI outcomes. The window is 12-18 months.
Shadow AI proliferates while boards lack visibility. No portfolio-level view of AI use cases, no evidence trail, no accountability matrix.
Biased hiring algorithms, unfair credit decisions, enforcement actions. The penalties are financial. The damage is reputational.
Four principles that make responsible AI governance achievable at speed — operationalised through every engagement.
Governance controls calibrated to the risk and impact level of each AI system. High-risk systems receive intensive governance. Lower-risk systems receive lightweight, automated governance.
Governance embedded into the AI development and deployment lifecycle through defined entry gates at design, build, test, and deploy stages — not applied retrospectively.
Governance activities structured from the outset to produce auditable evidence. Every deliverable generates structured, machine-readable artefacts — not narrative documents.
Automation handles operational governance tasks, but human accountability for critical decisions is preserved and documented through a clear accountability matrix.
Practitioners do the thinking. AI does the heavy lifting. 40-50% less than traditional consulting.
Governance clarity in days, not months. Four assessment products, each delivered by practitioners supported by AI. ISO 42001, EU AI Act, DPIA, maturity assessments — at 40-50% less than Big 4 consulting.
The AI governance operating system. Six connected modules that turn governance from a framework into an infrastructure. One platform replaces fragmented spreadsheets, disconnected tools, and manual processes.
Six modules. One governance operating system.
Operational governance, not PowerPoint frameworks.
Governance intensity scales with risk. Not every AI system needs the same controls.
Governance at every stage, not bolted on after deployment.
Audit trails built as you go. Not assembled after the fact.
Named humans accountable for AI decisions. Tied to SM&CR.
Personal accountability under SM&CR. Cannot demonstrate control over AI systems to regulators. Urgency driven by PRA SS1/23 and FCA Consumer Duty.
Volume and complexity of DPIAs for AI systems. EU AI Act creates new obligations layered on existing GDPR requirements.
AI deployment outpacing governance. Reputational and regulatory risk from ungoverned use cases. Need a credible governance framework quickly.
Uncertainty about which AI governance obligations apply and how to evidence compliance for regulators and auditors.
If this sounds like you, we should talk.
The Big 4 take months. We take days.
AI governance is not optional. Enforcement is active and accelerating across jurisdictions.
High-risk AI obligations become enforceable August 2026. Conformity assessments, technical documentation, and audit trails required. Penalties up to €30m or 6% of global revenue.
Already enforceable. UK banks must have AI and ML model risk management frameworks in place. Creates immediate demand for governance infrastructure.
AI-driven decisions must demonstrate good customer outcomes. SM&CR creates personal liability for senior managers over AI risk.
The de facto AI management system standard. Certification demand is accelerating. Becoming a baseline requirement for regulated organisations.
Start with a free AI Governance Health Check, or book a demo to see how Moralto delivers governance in days, not months.
Free practitioner analysis of AI governance developments. Not press-release summaries.
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