We test your chatbots, hiring tools, and AI-generated content for the errors and liability risks that are easy to miss from the inside—before a customer-facing pattern becomes harder to unwind.
No preparation or purchase required for triage. Bring the AI tool, the customer journey, and the concern you want to understand; we'll help set the next practical boundary.
See a fictional sample audit findingWhat to expect
Real edge cases
Structured testing modeled on how customers actually probe, misunderstand, and misuse AI.
Plain-language findings
Clear business impact and prioritized fixes—not a report written only for engineers.
Bounded conclusions
We document what was tested, what failed, and the limits of every conclusion.
What we test
We focus on the customer- or candidate-facing moments where an AI tool can make a claim, shape a decision, or represent your business without enough context.
Customer chatbots
We test how a chatbot handles unclear requests, missing details, policy-sensitive questions, product claims, refusals, and handoffs—especially when confidence outpaces evidence.
Hiring tools
We examine prompts, outputs, and workflow moments that may create inconsistent treatment, unsupported signals, or confusing candidate-facing communication.
AI-generated content
We review content workflows for unsupported claims, misleading omissions, context loss, and language that can create avoidable brand or customer-trust risk.
Audit method
The point is not a generic score. It is a documented review of the specific ways your tool can create confusion, uneven treatment, or exposure in the real customer journey.
Discuss your AI surfaceIdentify the AI surface, customer journey, and business concerns that should guide the audit.
Probe ambiguous questions, incomplete context, harmful assumptions, and other moments normal QA can miss.
Connect individual responses to repeatable failure patterns and the circumstances that expose them.
Receive owner-readable findings that distinguish urgent fixes, practical follow-up, and open questions.
Who this is for
For businesses using AI to answer product, policy, order, and service questions where a confident but incorrect answer can affect a customer relationship.
For organizations with sensitive customer communication, workflows, or content where clarity, appropriate boundaries, and consistent treatment deserve an outside review.
PromiseProof provides an operational review of defined AI experiences. It does not provide legal advice, legal opinions, or a certification of regulatory compliance.
What you receive
The outcome is a durable record of what was reviewed, the observed failure patterns, and a practical sequence for deciding what to address.
The AI surface, customer journey, and review boundary we agreed to examine.
Observed response patterns with the test context needed to understand why they matter.
A clear view of what needs attention first, what can be scheduled, and what needs further investigation.
Practical recommendations your internal team or vendor can use to decide what happens next.
Choose your entry point
Use the triage when the right scope is still unclear. Choose the focused Snapshot or the full Audit when you are ready to review a defined customer-facing AI workflow.
01 / Start here
Bring the AI tool, the customer-facing workflow, and the concern you want to understand. We use the intake to identify a practical next review boundary.
02 / Pick a defined review
A focused first look at one workflow when you need concise priorities before committing to broader work.
View the SnapshotA deeper, one-time review of a defined customer-facing AI surface with structured findings and practical priorities.
View the full AuditEach review keeps its existing scope and hosted checkout. If you are not sure which path fits, start with the triage.
Common questions
A good review is explicit about access, boundaries, and what the findings can—and cannot—answer.
Timing depends on the agreed scope, tool access, and the number of customer journeys in review. We set the review boundary and expected working timeline during intake rather than making a blanket promise.
We begin with the customer-facing experience and the context you can share. Depending on the scope, we may ask for a test account, relevant prompts or policies, and a short walkthrough of the customer journey. We only request access needed for the agreed review.
No. PromiseProof provides an operational risk review, not legal advice, legal opinions, or compliance certification. Findings can help you decide where to involve counsel, a vendor, or your internal team.
You receive the observed pattern, the circumstances that triggered it, and a prioritized recommendation. Your team decides how to address it; we can discuss a practical follow-up scope or ongoing monitoring when the system continues to change.
Start with four answers
Tell us which tool you use, your biggest concern, and roughly how many people interact with it. We'll recommend a practical audit scope.