Mayhem Shield provides independent, buyer-side AI implementation assurance for enterprises deploying AI tools into production.
Approvals need traceable evidence, not a vendor marketing pack. We assess how an AI implementation will actually operate in your environment — identities, data handling, integrations, controls, and go-live readiness — then document gaps, evidence requests, and gate-level conditions that support defensible approval decisions before production launch.
We do not sell the AI product under review. We do not implement or operate it. Our role is an independent assessment of readiness and risk for governance, architecture, security, and approval stakeholders.
What you receive:

Written position, gap register, evidence requests, and remediation priorities, aligned to your gates
Architecture and trust-boundary views of the deployment as it will actually run
Clear criteria for POC, pilot, and production approval where those gates apply
One assurance model applied consistently across AI deployment categories and overlays, including RAG and agentic

How engagements work:

Discovery and scoping — classification, overlays, stakeholders, and the right package aligned before work starts
Evidence and interviews — targeted document review and sessions with owning teams to test controls against real workflows
Analysis and artifacts — architecture views, gap analysis, severity, and evidence requests mapped to your gates
Findings and handoff — written position, conditions, and remediation priorities your approvers can file and track

Packaged offers:

Rapid Readiness Review — critical and high findings for a near-term gate
Full Deployment Assurance Review — full traceability and gap depth for a production-bound tool
Portfolio Program — shared evidence across three or more tools with sequenced reviews

Built for security, architecture, risk, compliance, and approval teams. Evidence-based. Independent.

Mayhem Shield

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