Service: Assurance & Review
Safeguard
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.
Engineering leadership building or shipping agentic AI: Heads of Engineering, CTOs, and the teams accountable for what ships.
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
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
A review embedded into your organisation's standing SDLC, so the guardrails apply to every delivery going forward, not just the one under review.
Methodology
Map
Establish what the system does, where it acts autonomously, and what's actually at stake if it fails.
Design
Review the guardrails built into the system's design: constraints, escalation paths, and decision boundaries.
Build
Review how those guardrails are implemented in delivery, not just specified on paper.
Operate
Review what happens once the system is live: monitoring, ownership, and response readiness.
Respond
The differentiator. Review whether the organisation actually knows what to do when the system fails, not just whether a plan exists on paper.
Governance frameworks tell you what should happen.
Safeguard tells you whether what you built will actually hold when it's tested by real use, not a checklist.
Talk to us about Safeguard →