07 / ÉTUDES DE CAS EXPERTES

Des systèmes qui ont changé la façon dont nos clients opèrent.

Dix déploiements en production où des outils fragmentés, des données cloisonnées et des flux manuels ont été remplacés par un seul Système d'Exploitation IA sécurisé.

01

Global Tier-1 Bank

FINANCE

Défi

Month-end reconciliation across 40+ subsidiaries required 800 analysts and still produced material misstatements. Point-solution RPA bots broke every time source schemas changed.

Solution

Built an Autonomous Reconciliation OS with a Memory Layer over all general ledgers, a Logic Layer of deterministic multi-agent reconcilers, and an Action Layer that posts adjustments via the core banking API.

Résultats

Reconciliation cycle reduced from 14 days to 4 hours. Zero material misstatements in three consecutive quarters. 70% of analyst time reallocated to exception investigation.

Enterprise RAG Multi-Agent Orchestration SOC2
02

Pan-European Retailer

RETAIL

Défi

Demand forecasting was spread across seven spreadsheets and three legacy systems, causing over-stock of €120M and stock-outs in high-margin categories.

Solution

Deployed an Intelligent Inventory & Demand OS that ingests POS, warehouse, weather, and event data into a unified knowledge graph and runs continuous forecasting agents.

Résultats

Inventory carrying cost down 23%, stock-outs reduced by 41%, and forecast accuracy improved from 64% to 91% within two quarters.

Knowledge Graphs Demand Forecasting AWS VPC
03

Continental Logistics Provider

SUPPLY CHAIN

Défi

Dispatchers manually coordinated 12,000 daily shipments across 8 countries. Delays cascaded because no system could reason about the full network state.

Solution

Implemented a Predictive Logistics Agent Grid where planner agents negotiate routes, carrier agents report ETAs, and executor agents update TMS and customer portals in real time.

Résultats

On-time delivery improved from 82% to 96%. Dispatch planner workload cut by 60%. Fuel costs dropped 11% through better load consolidation.

Multi-Agent Orchestration Real-Time APIs LLMOps
04

Regional Hospital Network

HEALTHCARE

Défi

Clinicians spent 35 minutes per shift hunting for patient history across three EHRs, leading to delayed decisions and duplicated tests.

Solution

Created a Clinical Decision Support OS with private-VPC RAG over structured and unstructured records, citation-backed summaries, and deterministic guardrails for every recommendation.

Résultats

Clinician documentation time reduced by 42%. Duplicate imaging down 18%. System operates entirely inside the hospital’s air-gapped VPC.

Private RAG Healthcare Compliance On-Premise
05

B2B SaaS Scale-Up

INFRASTRUCTURE

Défi

Microservices generated 2M alerts per month. The platform team was drowning in noise; MTTR for customer-facing incidents exceeded 4 hours.

Solution

Built a Self-Healing Platform OS that correlates logs, metrics, and traces, dispatches remediation agents with human-in-the-loop approval, and learns from each incident.

Résultats

Alert noise reduced by 89%. MTTR dropped to 18 minutes. Two critical incident classes are now resolved autonomously without paging engineers.

AIOps Observability Human-in-the-Loop
06

National Insurance Group

INSURANCE

Défi

Claims adjusters manually reviewed 250,000 documents annually. Processing times averaged 11 days, and fraud detection was reactive.

Solution

Deployed a Claims Intelligence OS with document extraction agents, policy-knowledge RAG, and a fraud-detection model ensemble that flags anomalies before payout.

Résultats

Average claims processing time reduced to 1.2 days. Fraud recoveries increased by €8.4M in year one. Adjuster capacity doubled without new hires.

Document Intelligence Fraud Detection Compliance
07

Renewable Energy Utility

ENERGY

Défi

Grid operators lacked a unified view of demand, generation, and storage. Dispatch decisions were made on stale data and gut feel.

Solution

Engineered a Grid Optimization OS that fuses SCADA, weather, market, and asset data into a live digital twin and recommends dispatch actions with explainable reasoning.

Résultats

Curtailment reduced by 14%. Revenue from arbitrage increased by 9%. Dispatch decisions now account for 10,000+ real-time variables.

Digital Twin Real-Time Optimization Edge Deployment
08

International Law Firm

LEGAL

Défi

Associates spent 30% of their time on routine contract review across 14 jurisdictions. Version control and clause consistency were manual.

Solution

Built a Contract Analysis OS with jurisdiction-aware clause libraries, risk-scoring agents, and a continuous feedback loop from senior partners.

Résultats

Contract review throughput up 4x. Risk-flag accuracy reached 94%. Junior associate ramp time shortened from 6 months to 6 weeks.

Document Intelligence Legal RAG Workflow Automation
09

Precision Manufacturer

MANUFACTURING

Défi

Quality inspection relied on sampling and human visual checks. Defects reached customers before they were detected, damaging a key OEM relationship.

Solution

Deployed a Quality Assurance Vision OS that combines computer-vision models, production-line sensor fusion, and a root-cause agent that feeds corrections back to CNC machines.

Résultats

Defect escape rate dropped by 87%. Inspection throughput increased 12x. The OEM relationship was restored and expanded.

Computer Vision Industrial IoT Closed-Loop Control
10

Global E-commerce Marketplace

E-COMMERCE

Défi

Fraud losses exceeded $40M annually while false positives frustrated legitimate merchants and shoppers. Rules-based systems could not adapt to new attack patterns.

Solution

Implemented a Fraud Detection OS with behavioral graph networks, real-time risk scoring, and model-agnostic agents that propose policy updates to human reviewers.

Résultats

Fraud losses down 63%. False positives reduced by 51%. New fraud patterns are detected and mitigated in under 4 hours.

Behavioral Graphs Real-Time Risk Model-Agnostic AI

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