Security, privacy, retention, and subprocessor prompts
Approval bands and blocker criteria
Business outcomes
Ask AI vendors the right data-use questions before rollout
Separate acceptable pilots from blocked sensitive-data use
Create repeatable approval evidence for AI SaaS adoption
Proof points
Covers prompts, files, outputs, feedback, embeddings, metadata, training use, deletion, retention, and subprocessors.
Includes decision bands so the review ends in approve, pilot, defer, or block rather than vague concern.
Works for buyers reviewing AI tools and SaaS vendors preparing for customer questions.
Asset proof
DOCX implementation guideRedacted render from the editable DOCX implementation document included after purchase.Open redacted previewXLSX operating trackerRedacted render from the structured XLSX tracker included after purchase.Open redacted preview
Buyer confidence
Real editable filesEach paid product includes a Markdown delivery document plus editable DOCX and XLSX assets where the product calls for documents, registers, trackers, or checklists.Redacted asset previewsProduct pages show redacted renders from the delivered DOCX/XLSX files so buyers can inspect structure without exposing the paid content publicly.Verified digital deliveryOrder pages and downloads require server-side Stripe payment verification before files are unlocked.Internal-use licenseTemplates may be adapted for internal commercial use inside one buyer organization unless a product states a narrower rule.
Quality standard
Implementation-oriented language with owners, decisions, review cadence, and escalation paths.
Editable DOCX documents for policy, rollout, review, and operating guidance.
Structured XLSX trackers or registers with example rows, status fields, owners, dates, and evidence prompts.
Public samples and redacted file previews before checkout.
Buyer-fit and not-a-fit guidance so teams understand when professional review is still needed.
Preview
Will prompts, uploaded files, outputs, embeddings, metadata, logs, or feedback be used for training or product improvement?
Can the buyer opt out of training and receive contractual language covering customer data and uploaded content?
Blocker: no deletion commitment, no retention window, no subprocessor list, and no training-use clarity for sensitive data.
Public sample
Evaluate AI SaaS vendors before employees upload prompts, files, customer data, confidential information, or regulated data.
Will prompts, uploaded files, outputs, embeddings, metadata, logs, or feedback be used for training or product improvement?
Can the buyer opt out of training and receive contractual language covering customer data and uploaded content?
Blocker: no deletion commitment, no retention window, no subprocessor list, and no training-use clarity for sensitive data.
