Agentic AI fails differently to traditional software, and most delivery teams find out the hard way. Safeguard reviews how your AI products are designed and delivered against a defined standard, before that failure happens in production.
Agentic AI fails differently to traditional software, and most delivery teams find out the hard way. Safeguard reviews how your AI products are designed and delivered against a defined standard, before that failure happens in production.
Who it's for
Who it's for
Engineering leadership building or shipping agentic AI: Heads of Engineering, CTOs, and the teams accountable for what ships.
What Safeguard is, and isn't
What Safeguard is, and isn't
Safeguard is a review, not an audit. It does not include source code review, system access, red-teaming, or independent verification that guardrails function as intended. It examines design and delivery practice against a standard, and tells you where the gaps are.
Two scopes
Two scopes
Product Review
Product Review
A review of a single agentic product or feature, run pre-launch or before a significant scope expansion. Point-in-time, scoped to what's shipping now.
Practice Review
Practice Review
A review embedded into your organisation's standing SDLC, so the guardrails apply to every delivery going forward, not just the one under review.