You will get I will create an AI governance SRS for your GRC platform
Project details
I create clear, developer-ready Software Requirements Specification documents for AI Governance, Risk and Compliance platforms.
This service is for teams building AI-GRC, AI risk, compliance-readiness, auditability or AI workflow review systems. I translate complex AI governance concepts into structured requirements, workflows, acceptance criteria and implementation-ready documentation.
The SRS can include functional and non-functional requirements, AI governance workflows, risk and compliance processes, user roles, human-review gates, audit trail requirements, reporting needs, a requirements matrix, assumptions, open questions and MVP vs. later-phase recommendations.
My focus is on AI-specific governance boundaries: separating AI output from evidence, human review, approval and operational action. This helps avoid unclear approval states, weak audit trails and unsupported compliance claims.
This service does not include legal advice, compliance certification, software implementation, API development or UX design.
This service is for teams building AI-GRC, AI risk, compliance-readiness, auditability or AI workflow review systems. I translate complex AI governance concepts into structured requirements, workflows, acceptance criteria and implementation-ready documentation.
The SRS can include functional and non-functional requirements, AI governance workflows, risk and compliance processes, user roles, human-review gates, audit trail requirements, reporting needs, a requirements matrix, assumptions, open questions and MVP vs. later-phase recommendations.
My focus is on AI-specific governance boundaries: separating AI output from evidence, human review, approval and operational action. This helps avoid unclear approval states, weak audit trails and unsupported compliance claims.
This service does not include legal advice, compliance certification, software implementation, API development or UX design.
AI Development Type
Knowledge Representation, Software MaintenanceAI Tools
Azure Machine Learning, Google AutoML, MLflowAI Development Language
PythonWhat's included
| Service Tiers |
Starter
$750
|
Standard
$1,500
|
Advanced
$3,500
|
|---|---|---|---|
| Delivery Time | 5 days | 15 days | 25 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Detailed Code Comments | - | - | - |
Knowledge Graph | - | - | |
Model Documentation | |||
Ontology | - | ||
Source Code | - | - | - |
Taxonomy | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$250
workflow map
(+ 2 Days)
+$350
Extended requirements matrix
(+ 5 Days)
+$500
delivery package
(+ 1 Day)
+$150Frequently asked questions
About Andreas
KI-Berater fuer LLM-, Codex- & Agenten-Governance
Hamburg, Germany - 7:49 pm local time
My focus is not generic prompt engineering. I specialize in technical AI governance: identifying where model outputs are overinterpreted, where human approval is missing, where internal information may leak, and where clear decision boundaries are needed.
I work with my own governance and audit framework, threshold-ai-slim, to analyze AI-assisted workflows, surface risks and design practical review mechanisms.
I can help with:
• LLM, Codex and AI agent workflow audits
• AI automation review before production use
• Source binding: which claim is supported by which source?
• Human-review gates: where must a person approve or stop the workflow?
• Overclaim detection: safety, compliance, performance or deployment-readiness claims
• Anti-leakage checks for internal traces, private paths, raw artifacts or sensitive data
• Decision-boundary design: Allow / Hold / Re-ground / Human Review / No Action
• Review of AI-generated website, pitch, product or investor-facing content
• Codex / GitHub workflow review: what can be automated, what requires tests, gates or approval?
Typical deliverables include governance readouts, risk matrices, human-review maps, anti-leakage checklists, public-safe wording, technical recommendations and staged roadmaps for safer AI workflow development.
I do not replace legal review or provide compliance certification. I help you make the technical workflow more controlled, more reviewable and easier to audit before it becomes operationally risky.
Best fit for teams working with OpenAI, Codex, GitHub Copilot, AI agents, internal AI tools, SaaS AI features or automation workflows that need stronger control, traceability and governance.
Steps for completing your project
After purchasing the project, send requirements so Andreas can start the project.
Delivery time starts when Andreas receives requirements from you.
Andreas works on your project following the steps below.
Revisions may occur after the delivery date.
Discovery & Scope
I review your materials, clarify assumptions, identify open questions and define the SRS structure, core modules and MVP vs. later-phase scope.
SRS Outline
I create the initial SRS structure with sections for platform scope, user roles, functional requirements, governance workflows, audit trail and reporting.