Governance | Bolt Consulting AI

The Governance Gap

Most organisations are deploying AI without adequate governance frameworks. Finance teams face risks that other departments don't -- regulatory scrutiny, audit requirements, data sensitivity, and direct board accountability for the numbers they produce.

67%

of finance teams report using AI tools without formal governance policies in place. Shadow AI is already happening across your organisation.

The question isn't whether to adopt AI. It's whether you're governing what's already there. Ungoverned AI in finance creates regulatory exposure, audit risk, and reputational damage that no productivity gain can offset.

Built-In, Not Bolted On

Four pillars that make AI safe for finance. Governance isn't an afterthought -- it's the architecture.

Data Governance

Data classification and sensitivity mapping
Access controls and role-based permissions
Data lineage and provenance tracking
Retention policies and right-to-deletion

Model Governance

Model selection and approval processes
Performance monitoring and drift detection
Version control and rollback capability
Bias assessment and fairness testing

Output Governance

Human-in-the-loop review workflows
Confidence scoring and uncertainty flags
Audit trails for every AI-generated output
Explainability requirements for decision support

Compliance & Regulatory

EU AI Act readiness assessment
FCA/PRA regulatory alignment
SOX compliance for AI-assisted processes
Internal audit framework integration

Deployment That Fits Your Policy

Governance starts with where your data lives. We offer two deployment models, both fully governed.

Private Cloud

Enterprise cloud deployment (Azure, AWS, GCP)
Data stays within your tenant
Enterprise SSO and access controls
Managed updates and monitoring

On-Premise

Local LLM deployment on your hardware
No data leaves your infrastructure
Full hardware control
Air-gapped option available

Regulatory Landscape

AI regulation is moving fast. We help you stay ahead of the frameworks that matter to finance.

EU AI Act

Risk classification, transparency obligations, and documentation requirements. We map your AI use cases to the Act's risk tiers and close the gaps before enforcement begins.

FCA Consumer Duty

AI used in customer-facing finance must meet fair outcomes standards. We build review processes that satisfy FCA expectations for automated decision-making.

Data

GDPR / UK GDPR

Lawful basis for AI processing, data minimisation, and individual rights. Our governance framework addresses the data protection implications of every AI workflow.

Finance

SOX Compliance

AI-assisted financial reporting needs the same controls as manual processes. We ensure audit trails, segregation of duties, and change management are built in.

Security

ISO 27001

Information security management for AI systems. Our deployments align with ISO 27001 controls for access management, encryption, and incident response.

Audit

Internal Audit

Your internal audit team needs to assess AI risk. We provide the documentation, testing evidence, and control frameworks they need to sign off.

AI Without Compromise