AI Risk Audit
A one-time review of one customer-facing AI surface, with prioritized findings, remediation guidance, and a review conversation.
$2,975.00 USD · one-time
Explore the auditAudit journey
Begin with the customer-facing system you are concerned about. We help you select the right starting engagement, test it in context, and decide whether continued review is useful as it changes.
This is a short, no-pressure intake. Your first response identifies the customer-facing AI surface, the concern to examine, and the context needed to define a practical review boundary.
Three clear starting points
01 · AI Risk Audit · $2,975.00 USD · one-time
For structured edge-case testing and prioritized findings on a named customer-facing AI surface.
02 · AI Risk Snapshot · $845.75 USD · one-time
For a focused first look at one defined workflow and a specific concern.
03 · 20-minute AI Risk Triage
If you are unsure which review fits, request a triage. No purchase or preparation is required.
Reserve either published offer at its displayed one-time price. Custom quotes are only for separately scoped projects listed below.
01 / Identify the risk
Bring the AI system that speaks to customers, screens applicants, or produces public-facing content. Accuracy, bias, legal exposure, and brand risk are practical starting points—not a need to arrive with a technical diagnosis.
Chatbots and support flows
Hiring and screening tools
AI-generated customer content
02 / Choose a starting engagement
Most teams establish a baseline with a focused audit. If you are evaluating a vendor before rollout or need a narrower review, start with the option that fits that moment.
A one-time review of one customer-facing AI surface, with prioritized findings, remediation guidance, and a review conversation.
$2,975.00 USD · one-time
Explore the auditScoped projects · custom quote
These bespoke engagements are scoped around the system, materials, and questions you bring. We discuss fit and provide a project quote through the existing intake—there is no fixed price or direct checkout for these projects.
Check a defined customer-facing workflow after a model, prompt, or policy change, with a comparison of selected behaviors and a prioritized evidence log.
Walk the right people through a realistic AI incident scenario, clarify decision points and handoffs, then capture practical follow-up actions.
Probe an ecommerce support assistant with returns, refunds, shipping delays, and edge cases; document representative failures and improvement priorities.
03 / Complete intake
After selecting an engagement, share the business, the AI tool, the customer-facing workflow, and the concern that prompted the review. If the scope is unclear, use the intake to start the conversation before choosing a custom path.
04 / Structured testing
We run structured edge-case testing against the agreed workflow, looking for failure patterns in responses, decisions, and generated content. The work stays focused on the customer-facing surface selected for the engagement.
05 / Prioritized findings
You receive documented failure patterns, prioritized findings, and owner-readable remediation guidance. Use the report with the people responsible for the tool, the vendor, or your counsel as appropriate.
06 / Continue monitoring
Once you have a baseline, choose a cadence that fits your release cycle. Quarterly review provides a scheduled check; monthly monitoring suits teams that need closer ongoing visibility.
Monthly monitoring
$1,500/month
Recurring check-ins, change-triggered re-testing, concise issue summaries, and escalation of material new findings.
Explore monitoringNot sure where to begin?
We can help you identify the most useful starting point before you commit to an engagement.
Request an AI Risk Triage