You will get I will create a requirements matrix for your AI system
Project details
I create structured, developer-ready requirements matrices for AI systems, LLM workflows, AI-GRC platforms and agentic automation projects.
This service helps teams turn complex AI ideas into clear requirements, acceptance criteria, user roles, traceability notes and governance boundaries. The goal is to make AI system requirements easier to review, estimate, implement and audit.
What makes this project different is the focus on AI-specific boundary clarity. I do not only list features. I help separate AI output, evidence, human review, approval and operational action, so that generated content is not mistaken for authority, test results are not mistaken for deployment readiness, and evidence references are not treated as success proof.
Typical deliverables include a structured requirements matrix, priority mapping, role mapping, acceptance criteria, traceability notes, open questions and governance boundary comments.
This service does not include legal advice, compliance certification, model training, deployment or software implementation. It focuses on technical requirements engineering and AI governance structuring.
This service helps teams turn complex AI ideas into clear requirements, acceptance criteria, user roles, traceability notes and governance boundaries. The goal is to make AI system requirements easier to review, estimate, implement and audit.
What makes this project different is the focus on AI-specific boundary clarity. I do not only list features. I help separate AI output, evidence, human review, approval and operational action, so that generated content is not mistaken for authority, test results are not mistaken for deployment readiness, and evidence references are not treated as success proof.
Typical deliverables include a structured requirements matrix, priority mapping, role mapping, acceptance criteria, traceability notes, open questions and governance boundary comments.
This service does not include legal advice, compliance certification, model training, deployment or software implementation. It focuses on technical requirements engineering and AI governance structuring.
AI Algorithms
Autoencoder, Convolutional Neural Network, Generative Adversarial Network, Large Language Model, Long Short-Term Memory Network, Multimodal Large Language Model, Recurrent Neural Network, Regression Analysis, Transformer Model, Variational AutoencoderAI Applications
AI Chatbot, AI Content Creation, AI-Enhanced Classification, AI-Generated Code, AIOps, Anomaly Detection, Conversational AI, Machine Translation, Natural Language Generation, Natural Language Understanding, Synthetic Data Generation, Time Series ForecastingAI Development Language
PythonAI Models
DALL-EWhat's included
| Service Tiers |
Starter
$450
|
Standard
$950
|
Advanced
$1,750
|
|---|---|---|---|
| Delivery Time | 3 days | 7 days | 11 days |
Number of Revisions | 1 | 1 | 2 |
AI Model Integration | - | - | - |
Batch Normalization | - | - | - |
Database Integration | - | - | - |
Detailed Code Comments | - | - | - |
Image Upscaling | - | - | - |
MLOps | - | - | - |
Model Deployment | - | - | - |
Model Documentation | |||
Model Monitoring | - | - | - |
Model Testing & Optimization | - | - | |
Model Tuning | - | - | - |
Natural Language Processing | - | ||
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | ||
Setup File | - | - | - |
Source Code | - | - | - |
Optional add-ons
You can add these on the next page.
Additional Revision
+$150
Extra 10 requirements
(+ 2 Days)
+$250
Traceability matrix add-on
(+ 2 Days)
+$350
Formatted PDF + Word delivery package
(+ 2 Days)
+$150About Andreas
KI-Berater fuer LLM-, Codex- & Agenten-Governance
Hamburg, Germany - 1:28 am 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 and scope review
I review your materials, clarify assumptions and define the matrix structure.
Requirement taxonomy
I define categories, roles, priority levels and boundary conventions.