AI Development Workflow Audit

AI Development Workflow Audit Intake Form

Use this form to describe the system or workflow the audit should inspect, the current state, the review bottleneck, and the audit outcome you want next. Source code is not required through this form. After submission, your request is recorded for paid audit fit review; AI Development Workflow Audit scope is determined from the context you submit plus any follow-up clarification.

Submitting this form does not start an audit. Human review of fit, scope, access, and payment happens before any repo inspection.

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Before you start

Keep the form at the workflow and system level. Describe the app or workflow context, current problem, desired outcome, current stage, and known risks or blockers. Do not paste passwords, API keys, private keys, service-account JSON, production credentials, sensitive regulated data, or proprietary source code.

Required fields establish the minimum context for a fit review. If you know the repo or app URL, include it; if not, the notes fields can still provide enough context for the initial fit review.

If you do not know the exact stack yet, leave optional fields blank and use the notes sections to explain what is already known. Source access, repo review, or audit inspection may be discussed later only after scope is clear.

This intake is for initial evaluation only and does not create a client relationship. After submission, your request is recorded for review. Human review governs the next step, and scope is determined from the context you submit plus any later clarification.

Submission does not start an audit. Human review of fit, scope, access, and payment comes before any repository inspection.

Complete the required fields to prepare the AI Development Workflow Audit intake for review. Your request stays at the fit-review stage until you submit.

Contact and project context

Use this to ground the audit fit review in a real team, project, and development context.

Which best describes what you need reviewed?

Choose the review topic that best fits the AI Development Workflow Audit request. If the distinction is unclear, choose not sure.

Name

Who should we follow up with if the audit fit is clear?

Company / project name

Use the company, product, studio, or project name tied to this request.

Use the address a human should use for audit fit-review follow-up.

What system or workflow should the audit inspect?

Give a short technical summary of the product, app, repo, or workflow context the audit should evaluate.

Repository or app URL

Optional. Share a repo or app URL if review access is appropriate after scope is confirmed.

Workflow pain and desired audit outcome

Describe the friction that is making AI-assisted development hard to review, validate, or trust.

What workflow pain should the audit understand first?

Focus on the highest-friction issue: AI coding tool usage, handoffs, quality, review time, unclear prompts, validation gaps, or release risk.

What audit outcome would be useful?

State the audit output you would consider useful: risk map, validation gaps, review priorities, or next-step recommendations.

What has already been tried?

Optional. Mention prompts, process changes, review rules, or validation attempts that have already been tested.

Project stage and validation posture

Use this to show whether the project is still being shaped, actively built, already shipping, or maintaining inherited code.

What best describes your project stage and validation posture?

Pick the closest match. This helps distinguish an active, evidence-based audit request from an exploratory inquiry.

Repo / codebase review

Use this to describe repo/codebase review readiness, tests, validation, and the areas the audit should inspect first.

What repo, codebase, tests, or validation areas should the audit review first?

Optional. Call out routes, modules, prompts, tests, validation gaps, or workflow boundaries that should be reviewed first.

Audit payment readiness

This helps determine whether the request is ready for the paid AI Development Workflow Audit if there appears to be a strong fit.

Are you prepared to pay $1,250 for the audit if there appears to be a strong fit?

Choose yes, maybe, or not yet. This does not create a client relationship or reserve audit time.

yesmaybenot yet

Who approves payment for the audit?

Optional. Name the role or person who approves the audit payment.

Consent and confidentiality

This is an initial-evaluation form for the AI Development Workflow Audit, not a client agreement or a production submission system. Submissions should stay at the workflow and system level.

Required consent: I understand this intake is for initial evaluation only and does not create a client relationship until a paid AI Development Workflow Audit engagement is accepted.Required confidentiality acknowledgment: I understand I should not paste passwords, API keys, private keys, service-account JSON, production credentials, sensitive regulated data, or proprietary source code into this intake.

Audit pricing notice

The AI Development Workflow Audit is currently framed around a $1,250 audit fit decision. Scope is confirmed before payment is requested, and the intake does not create a client relationship or reserve audit time.

Required fields are marked with an asterisk. After submission, your request is recorded for human review of AI Development Workflow Audit fit. Do not submit secrets, credentials, sensitive regulated data, or proprietary source code.

Submission does not start an audit. Human review of fit, scope, access, and payment comes before any repo inspection.