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Case Studies

Concrete, measurable, and adopted AI solutions — from framing to production.

Sirene

Natural language company search.

Business Challenge

Sales and operations teams waste valuable time identifying and qualifying companies through the standard INSEE Sirene interface. Rigid filter syntax and lack of semantic understanding hinder adoption.

AI Solution

An AI assistant that understands natural language queries and interrogates the INSEE Sirene API to return structured, filtered, and enriched results — with no technical knowledge required from the user.

Key Features

🔍

Natural Language Queries

Automatic translation of NL queries into Sirene API parameters via a finely calibrated language model.

🎯

Semantic Filters

Intelligent segmentation by NAF sector, region, company size and legal status from free-form expressions.

📊

Enriched Export

Dashboard generation and CSV/JSON exports with enriched and normalized SIRET data.

Tech Stack

Sirene API (INSEE)LLM (Claude / GPT)RAGNext.js 16TypeScript
Strategy & Generative AIOpen full application

Comex

Strategic framing and alignment through AI.

Business Challenge

Executive committees face a growing volume of AI initiatives without structured tooling to prioritize, frame, and align them with company strategic objectives in a controlled timeframe.

AI Solution

An AI-powered strategic deliverable generator, structuring Comex discussions around proven management frameworks (OKR, McKinsey 7S, Porter) to accelerate decision-making.

Key Features

🗺️

AI Roadmap Generation

Automatic creation of 12-18 month AI roadmaps, prioritized by business value and effort level.

🎯

Automatic OKR Alignment

Mapping of AI initiatives onto existing company OKRs with alignment scoring and conflict detection.

📈

Sector Benchmarks

Instant positioning against industry AI practices via a database of analyzed case studies.

Tech Stack

Claude Opus / GPT-4Prompt EngineeringChain-of-ThoughtNext.js 16Vercel AI SDK

DVF

Real estate transaction search and analysis.

Business Challenge

Analyzing DVF (Property Value Requests) data published by the DGFiP is tedious: multi-GB raw CSV format, no native visualization, and difficulty cross-referencing with geographic data.

AI Solution

A real estate transaction search and analysis platform integrating interactive mapping, statistical zone analysis and AI insight generation from DGFiP open data.

Key Features

🗺️

Transaction Mapping

Interactive geographic visualization of all real estate transfers, with intelligent density clustering.

📉

Price/m² Analysis by Zone

Automatic calculation of price medians by district, municipality and department with time-series trends.

🤖

AI Trend Detection

Identification of high price-movement zones and market anomalies via predictive analytics models.

Tech Stack

DGFiP Open Data (DVF)Python / PandasPostGISLeaflet.jsLLM Insights
Agentic AI & AzureOpen full application

Fraud Agent

Agentic fraud detection and recovery pipeline for property & casualty insurance.

Business Challenge

Fraud teams at P&C insurers are overwhelmed by false positives from fixed rule-based alerts, while subrogation recovery claims against liable third parties are identified too late, or missed entirely, due to lack of time to cross-reference cases.

AI Solution

A 5-stage agentic pipeline that scores each incoming claim, detects fraud networks through graph analysis, reads police reports using generative AI, and automatically triggers relevant recovery cases — a demo built on a fictional dataset, illustrating a multi-service agentic architecture on Azure.

Key Features

🎯

Explainable Scoring

0-100 fraud score per claim with Reason Codes, combining a Machine Learning model with business rules.

🕸️

Network Detection

Graph-based analysis of cross-case links (repair shops, IP addresses, grouped filings) invisible in single-case review.

📨

Automated Recovery

Police report reading via generative AI and automatic generation of the subrogation case file.

Tech Stack

Copilot StudioAzure Machine LearningAzure Synapse AnalyticsAzure OpenAI GPT-4oPower AutomateMicrosoft DataversePower BI
COMPLIANCE & VISION AIOpen full application

ID Document Verifier

AI-powered document quality control and MRZ consistency check.

Business Challenge

A subscription file with an illegible or incomplete ID gets stuck until a handler notices it and contacts the client — a back-and-forth cycle that degrades completion rates and burdens the back office.

AI Solution

A demonstration that checks the quality of an identity document at upload time (legibility, completeness, framing) and verifies the mathematical consistency of its MRZ zone against ICAO 9303 — without ever judging its authenticity.

Key Features

🔍

Instant quality control

Detection in seconds of blurry photos, glare, or partially out-of-frame documents, before a file ever reaches a handler.

🔐

Verifiable MRZ consistency

Deterministic calculation of ICAO 9303 check digits for ID cards and passports, with the calculation detail displayed — not a black box.

🪪

Front/back cross-check

Comparison of the document number between both sides of the card, as an additional consistency signal.

Tech Stack

Claude Sonnet (vision)ICAO 9303 AlgorithmNode.jsVercel Functions
COMPLIANCE & GENERATIVE AIOpen full application

LexGuard

Detects red-flag signals in contracts before signature.

Business Challenge

The mayor of a rural town, with no legal department, signs a telecom equipment contract under sales pressure — one that conceals a second leasing agreement with a long commitment term and near-impossible termination. Some towns have been sued for tens of thousands of euros after the fact.

AI Solution

A demonstration that analyzes a contract submitted as a PDF and flags, before signature, the warning signs of a risky arrangement (concealed contract, abnormal duration, tacit renewal) — in plain language, without ever ruling on the contract's legality or a company's reliability.

Key Features

🚩

Red-flag signal detection

Identifies patterns of risky contractual arrangements.

⚖️

Plain-language verdict

3-level assessment, no legal jargon.

🔒

Zero data retained

Ephemeral processing, no document or result is stored.

Tech Stack

Claude Sonnet 5Next.jsVercel Functions