Starting at
$15K+
~2 weeks
Rapid Readiness Review
One tool, near-term gate. Critical and high findings documented for approvers.
Learn more about Rapid Readiness Review →Approvals need traceable evidence, not a vendor marketing pack. Mayhem Shield performs buyer-side implementation assurance: we assess how the implementation will actually operate in your environment and document findings, evidence, and review 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. We are paid only by the buyer. Never by the vendor. We provide an independent assessment of readiness and risk for governance, architecture, security, and approval stakeholders.
Decision-ready artifacts for governance, architecture, security, and approval forums: traceable findings, evidence expectations, and gate-level conditions. Depth varies by package. View sample deliverables →
Buyer-side assurance stays separate from vendor-side implementation work.
Structured assessments and file-ready outputs for teams who must stand behind a production decision.
Phases, evidence rules, severity, and gate criteria are defined in advance, not invented per engagement. Same assurance pattern across implementation categories and overlays.
Pick the package matching the decision you need. Scoped review depth and timeline scale with category, overlays, and deployment conditions.
Starting at
$15K+
~2 weeks
One tool, near-term gate. Critical and high findings documented for approvers.
Learn more about Rapid Readiness Review →Starting at
$35K+
~4–5 weeks
One production-bound tool. Full architecture traceability, full review depth, named remediation.
Learn more about Full Deployment Assurance →Starting at
$60K+
~8–12 weeks
Three or more tools, same assurance standard, sequenced reviews with shared evidence.
Learn more about Portfolio Program →Packages differ in depth; the flow stays consistent. Before the review starts, we scope against real inputs - not a generic checklist.
Five input categories collected before analysis begins. Gaps become targeted evidence requests during the engagement.
i.
Deployment model, data flow, trust boundaries
ii.
Use case, features, providers, integrations
iii.
Security, governance, retention, identity
iv.
Configs, screenshots, exports, logs
v.
Hostnames, APIs, data classes, regions
Packages differ in depth; the flow stays consistent. Four steps: discovery and scoping, evidence and interviews, analysis and artifacts, and findings and handoff. Your governance, architecture, and security forums receive outputs in formats they recognize, with evidence traceable back to the deployment as it actually operates.
Review the full engagement lifecycle →Approvers carry personal and organizational risk when they sign off. Vendor materials alone rarely answer how the system will behave with your identities, data, and integrations. This work is a structured implementation assurance model: explicit review logic, documented outputs, and evidence tied to the deployment. Not generic advisory slides or a product sales process.
i.
Findings registers, evidence requests, remediation sequencing, and gate-level outputs suited to security, architecture, risk, and approval forums.
ii.
Identity, data paths, integrations, workflows, and go-live facts, tested against the deployment as it will run in your environment.
iii.
Phases, evidence rules, severity, and gates are defined in advance: repeatable criteria, not a one-off narrative.
iv.
Same assurance pattern applies across implementation categories and overlays (e.g. RAG, agentic) with consistent treatment of control outcomes.
v.
Review structure and public-safe templates are in the Mayhem Shield Framework, readable without a sales call.
Mayhem Shield Framework → →Organizations preparing to expand or productionize an enterprise AI tool where security, privacy, legal, or architecture approval is still open, and stakeholders need traceable evidence, not narrative decks alone.
Typical buying and steering roles
We confirm deployment fit, outline review scope, and match you to the right packaged offer. No engagement starts until you decide to proceed.