Governance
How to govern AI in pricing, inventory and operations
How we govern data, AI, and access in practice.
WithPraxis is built around judgement, governance, and evidence-led judgement. Our approach to data, security, and AI reflects this.
This page sets out our operating principles. It is not a sales document. It describes how we work, not what we promise.
Governance is not a feature we add at the end. It shapes how we scope work, how we build systems, and how we engage with client data from the outset.
We are comfortable being held to these standards. If you have questions, we're happy to discuss.
Certifications and standards
We are certified to ISO 27001 (information security) and ISO 9001 (quality management). We hold Cyber Essentials certification. Where applicable, our work aligns with GDPR requirements.
WithPraxis holds the following certifications:
ISO 27001Information SecurityManagement
ISO 9001Quality ManagementSystems
Cyber EssentialsUK GovernmentCyber Security
Our practices align with:
WCAG 2.1 AAWeb Accessibility
GDPRData Protection
NIST AI RMFAI Governance
ISO 42001AI Management- WCAG 2.1 Level AA: web accessibility standards
- GDPR: EU data protection requirements
- NIST AI Risk Management Framework: AI governance principles
- ISO/IEC 42001 principles: AI management system standards
Where client requirements demand specific certifications or standards, we work to meet them.
About this document
This page provides a summary of how WithPraxis approaches governance, security, and data handling. It is intended as an orientation, not a complete specification.
The content here is not prescriptive. Every client engagement is different, and our governance approach adapts to context, risk profile, and regulatory requirements.
More detailed documentation is freely available from our governance team upon request. This includes full policy documents, technical specifications, and evidence of certifications.
If you require specific documentation for procurement, compliance, or due diligence purposes, please get in touch. We are accustomed to supporting client security reviews and will provide what you need.
Our operating principles
WithPraxis is built around judgement, governance, and evidence-led judgement. Our approach to data, security, and AI reflects this.
We prioritise:
- Governance over capability
- Minimum necessary data
- Human judgement over automation
- Explicit choices that can be reviewed and challenged
- Long-term trust over short-term convenience
Technology is used to support human judgement, not to bypass it.
Data ownership and control
Clients retain ownership of their data at all times.
WithPraxis acts as a steward and processor of data only for agreed purposes. Client data is never treated as a shared asset, product input, or training material by default.
We do not:
- Sell client data
- Reuse client data across engagements
- Train AI models on client data unless explicitly agreed in writing
Data residency: Client data is hosted within UK/EU infrastructure unless otherwise agreed. We support data residency requirements and can accommodate specific geographic constraints.
Data handling and classification
Data is handled according to its sensitivity and purpose.
We apply:
- Clear separation between clients
- Separation of live, test, and synthetic data
- Handling rules aligned to data classification
- Controls designed to prevent accidental leakage or misuse
Only data required to perform agreed work is requested or retained.
AI use and governance
AI within WithPraxis is used as a controlled workflow support layer.
Our approach aligns with:
- NIST AI Risk Management Framework (trustworthy AI principles)
- ISO/IEC 42001 principles (AI management system standards)
- EU AI Act considerations (transparency, human oversight, risk management)
Our practices include:
- Clear distinction between advisory outputs and deterministic system behaviour
- Guardrails on prompts, inputs, and outputs
- Preference for refusal over guessing where uncertainty is high
- Human review where outputs carry material impact
- Explicit transparency on where AI is used and where it is not
- Regular assessment of AI model performance and bias
- Documentation of AI logic for auditability
AI does not act autonomously on client systems or data.
AI governance documentation available upon request.
Security practices
Security is treated as a design concern, not an afterthought.
Our practices include:
- Secure-by-design system architecture
- Encryption of data in transit and at rest where appropriate
- Environment isolation
- Ongoing maintenance and patching
- Monitoring with a bias towards early detection and containment
Our security posture is validated through:
- Annual penetration testing by independent security firms
- Regular vulnerability scanning
- Third-party security audits
- Code review and security assessment
Test results available to qualified prospects under NDA.
We focus on practical risk reduction rather than theatrical security.
Incident response
When security incidents occur, we respond promptly.
Our approach:
- Defined incident classification and escalation procedures
- Immediate containment and impact assessment
- Client notification within agreed timeframes
- Root cause analysis and remediation
- Post-incident review and documentation
- Continuous improvement based on lessons learned
We treat incidents as learning opportunities, not failures to be hidden.
Access control and permissions
Access to systems and data is controlled and intentional.
We apply:
- Role-based access control
- Least-privilege principles
- No shared credentials
- Regular review and removal of access when no longer required
- Clear separation between internal, client, and system access
Access exists to support work, not convenience.
Staff vetting: All WithPraxis staff undergo background checks appropriate to their role and data access level. This includes DBS checks where applicable and ongoing security awareness training.
Third-party systems and vendors
Where third-party platforms or services are used, they are selected deliberately.
Our approach:
- Use established, reputable providers
- Understand and document data flows
- Avoid uncontrolled data sharing
- Prefer platforms that support auditability and governance
- Review vendors for security posture, not just capability
Client data is not exposed to third parties unnecessarily.
Sub-processor management: We maintain a register of sub-processors with defined approval criteria. Changes to critical sub-processors are communicated to clients where contractually required.
Data retention and deletion
Data is retained only for as long as it serves a clear purpose.
We apply:
- Purpose-led retention periods
- Separation of active and archived data
- Defined deletion processes
- Support for client-led deletion requests where applicable
Retention is intentional, not accidental.
Backup and recovery
Client data and systems are backed up regularly with tested recovery procedures.
Our approach:
- Automated backup schedules aligned to data criticality
- Geographically distributed backup storage
- Regular recovery testing and validation
- Defined recovery time objectives (RTOs)
- Protection against ransomware and accidental deletion
Recovery procedures are documented and validated.
Compliance and alignment
Our practices are aligned with recognised data protection and security principles, including GDPR.
We focus on:
- Practical compliance
- Proportionate controls
- Governance that fits the data and the context
Compliance is treated as a baseline, not a differentiator.
Accessibility
Our platform and services are designed to meet WCAG 2.1 Level AA standards.
This includes:
- Keyboard navigation support
- Screen reader compatibility
- Sufficient colour contrast ratios (4.5:1 for body text, 3:1 for large text)
- Resizable text without loss of functionality
- Clear focus indicators and skip navigation
- Alternative text for images and media
- Accessible form controls with clear labels and error messaging
- No content that flashes more than 3 times per second
We test accessibility throughout development using automated tools and manual testing with assistive technologies.
Platform accessibility aligns with:
EN 301 549EuropeanAccessibility
Section 508US FederalAccessibility
Accessibility statement and conformance documentation available upon request.
If you have specific accessibility requirements or need VPAT (Voluntary Product Accessibility Template) documentation for procurement, please contact our team.
Client assurance
We are open about how we operate.
We are comfortable:
- Explaining our governance approach in detail
- Aligning with reasonable client security reviews
- Adapting controls where proportionate and appropriate
Governance is part of how WithPraxis works, not an appendix.
Right to audit: Clients may request security audits or assessments as part of contract terms. We accommodate reasonable audit requests and provide evidence documentation to support due diligence.
Common questions about AI governance
Common questions about AI governance
What does AI governance mean in a practical sense?
It means knowing what each AI-supported workflow does, what data it uses, who reviews its output, who can change it and how its performance is tracked. The focus is the workflow and its accountability, not abstract policy.
Why do businesses need governance for AI workflows?
Because AI-assisted work touches customers, suppliers, pricing, reporting and operations. Without clear ownership and controls, outputs drift, mistakes go unnoticed and no one is sure what is safe to automate next.
How is this different from model governance?
Model governance covers technical performance, validation and monitoring of the underlying AI. WithPraxis governance covers the workflow the AI supports: the inputs, human review, approvals, escalation and measurable outcome.
Where do you start applying governance?
We start with the workflows already using or about to use AI. We make ownership, inputs, review and outcomes explicit for those first, then extend the same pattern as more workflows come on board.
Does governance slow useful work down?
It should not. Governance is sized to the risk of the workflow. Internal drafting and reporting need light controls. Anything that touches customers, suppliers, pricing or money needs clear review points. The aim is sensible control, not blocking useful work.
How does this work around existing policies and systems?
We work with the policies, security requirements and systems you already have, including data protection, access controls and audit needs. Governance is added at the workflow level so it fits with what is already in place rather than replacing it.
Need more detail?
Our governance team can provide detailed documentation for your review.
Get in touch