You will get an AI automation audit of your workflows, with a prioritized roadmap
Project details
Most businesses know AI could save them time. Few know where to start, or which automations are actually worth building. That's what this audit answers.
You describe how your team works today (tools, recurring tasks, pain points). I analyze your workflows and deliver a written report with:
• The automation opportunities in your business, ranked by value, complexity and risk
• What should be an AI agent, what should be plain deterministic automation, and what should stay human
• A concrete implementation roadmap, with realistic effort and running-cost estimates
• The quick win I would build first, and why
• If a workflow touches decisions about people, a first read on whether the EU AI Act applies and what it requires (a readiness check, not a legal opinion)
I build these systems for a living: I designed and run Plaidoria, a legal AI SaaS in production, and I've deployed automation pipelines in high-constraint environments (government, sensitive data). I also step in on projects that stalled before production, and tell you what's worth unblocking.
Everything is delivered in writing, clear and actionable. No jargon, no slideware, no sales pitch for an oversized project.
You describe how your team works today (tools, recurring tasks, pain points). I analyze your workflows and deliver a written report with:
• The automation opportunities in your business, ranked by value, complexity and risk
• What should be an AI agent, what should be plain deterministic automation, and what should stay human
• A concrete implementation roadmap, with realistic effort and running-cost estimates
• The quick win I would build first, and why
• If a workflow touches decisions about people, a first read on whether the EU AI Act applies and what it requires (a readiness check, not a legal opinion)
I build these systems for a living: I designed and run Plaidoria, a legal AI SaaS in production, and I've deployed automation pipelines in high-constraint environments (government, sensitive data). I also step in on projects that stalled before production, and tell you what's worth unblocking.
Everything is delivered in writing, clear and actionable. No jargon, no slideware, no sales pitch for an oversized project.
AI Algorithms
Large Language Model, Transformer ModelAI Applications
AI-Enhanced Classification, Conversational AI, Natural Language Generation, Natural Language UnderstandingAI Development Language
PythonAI Tools
Hugging FaceAI Models
ChatGPT, LLaMA, WhisperWhat's included
| Service Tiers |
Starter
$195
|
Standard
$395
|
Advanced
$695
|
|---|---|---|---|
| Delivery Time | 3 days | 5 days | 7 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 | - | - | - |
Frequently asked questions
About Ridenn
AI Engineer | AI Agents, RAG & LLM Integration | Business Automation
Maurecourt, France - 9:09 am local time
What I have shipped:
• Plaidoria (plaidoria.fr) — a legal-tech SaaS I built end to end and run in production: a multi-agent pipeline that anonymizes case data before any LLM call, retrieves French case law through official public APIs, drafts court-ready legal briefs, and verifies every citation against official sources. Zero-hallucination tolerance by design.
• For a French government administration: a sovereign queue-management application replacing a commercial product (deployed across multiple sites), a speech-to-text + automated meeting-report pipeline, a room-booking tool with built-in AI assistance, and on-prem LLM/RAG building blocks — all under strict data-sovereignty constraints.
• AI feasibility audits for decision-makers: scoping, risks, ROI, deployment plan.
How I work:
• AI-native delivery: I orchestrate state-of-the-art AI across the whole build cycle and review everything with an algorithmic eye — fast delivery, no loss of rigor.
• Proof over promises: clear scoping, measurable outcomes, real-world adoption.
• GDPR-aware by default: anonymization, data minimization, compliance built in.
Best fit: AI agents and automation builds, LLM/RAG integration (API or on-prem), AI audits and consulting. Async/written collaboration preferred — English or French.
Steps for completing your project
After purchasing the project, send requirements so Ridenn can start the project.
Delivery time starts when Ridenn receives requirements from you.
Ridenn works on your project following the steps below.
Revisions may occur after the delivery date.
Scoping (written)
I review your answers and sample files, ask clarifying questions in writing, and confirm the exact scope before starting. No call required.
Workflow analysis
I map each process and identify automation opportunities, ranked by value, complexity and risk. For each one I decide: AI agent, plain deterministic automation, or keep it human.