Clear findings, prioritised actions and defensible evidence you can take to audit, risk and leadership.
AI governance & risk
Practical, risk-based approaches to governing AI use, aligned with emerging standards and regulatory expectations.
Governance that works inside existing operating models — not abstract principles or vendor-led assurances.
What you get
- AI risk identification and impact mapping
- Governance structures and decision frameworks
- Alignment with emerging standards and regulatory expectations
- Second-opinion reviews of proposed AI use cases
Accessibility & inclusive delivery
Accessibility treated as an ongoing delivery discipline — not a checkbox or a last-minute compliance task.
We help teams understand where the real risks sit, what’s achievable now, and how to improve over time.
What you get
- WCAG 2.2 AA–aligned assessments and guidance
- Design and development reviews for accessibility risk
- Support for remediation planning and prioritisation
- Advice on avoiding ineffective or harmful “overlay” solutions
Quality & delivery assurance
Confidence that what you ship is defensible, usable, and understood — under real delivery pressure.
The aim is not perfection — it’s confidence that what you’re shipping is defensible, usable, and understood.
What you get
- Quality strategy and assurance reviews
- Assessment of testing, automation, and non-functional coverage
- Risk-based prioritisation under time and budget constraints
- Support for teams operating in high-pressure environments
Engagements
Work is typically scoped as advisory support, targeted reviews, or short engagements focused on clarity and decision-making.
If you’re unsure what you need yet, that’s often a good place to start. See how this approach is applied in practice in our work, or learn more about Xyphos.