Case studies

Automated processes. Measured results.

Every engagement starts with an audit of the existing setup. Results are measured before and after on target KPIs, not estimated after the fact.

01Software / AI Platform

Real-time billing reconciliation

Challenge

Approximately 10,000 euros in net losses identified over the period, linked to misconfigured API calls between the platform and its model providers, and undetected overbilling. Gaps were only visible at month-end close.

Solution

Connectors to each provider and to the client platform. Reconciliation engine comparing provider consumption vs. sales in real time. Dashboard tracking token consumption by provider. Real-time alerting on detected gaps.

API connectorsWeb dashboard

Real-time

Gap detection

Day 0

vs. end-of-month before

02Professional services / IT consulting

Automated project invoice verification

Challenge

In an IT consulting firm, the final invoice results from a multi-source calculation: sold project budget, days delivered, applicable discounts, amendments. Manual verification is time-consuming and error-prone as the project portfolio grows.

Solution

Reconciliation engine connected to sources (CRM, staffing tool, ERP), line-by-line gap calculation between what should have been invoiced and what was, CFO dashboard with project-level and client-level views.

CRMStaffing toolERP

-80%

Verification time

Disputes at close

03Professional services

Expense report reconciliation automation

Challenge

Manual reconciliation of expense reports across Pennylane, Excel, PDF and email, mapped to projects and consultants, then pushed into invoice drafts. A recurring monthly process costing one full day, prone to misallocations and billing delays.

Solution

NDF source aggregation (Pennylane API, Excel, PDF, email). Automatic NDF-to-project mapping via reconciliation agent. Human review only on ambiguous lines. Automated push of reconciled lines into Pennylane drafts.

Pennylane APILLM agentExcel

1 day

Recovered per month

100%

Drafts populated auto

04Retail / Mass market

AI copilot for department managers

Challenge

Department managers operate without consolidated access to operational references or commercial data. Procedures, performance, ongoing promotions: each piece of information lives in a different system. Search is slow, field decisions are incomplete.

Solution

RAG assistant on internal operational procedures: natural language access without technical training. Commercial performance summaries by department. Personalized promotional tracking. Web interface accessible from the field.

ReactOpenAI APILangfuse

30 sec

Information access

Search time

05Construction / Infrastructure

User story generation automation

Challenge

Colas's digital factory produced reference BPMNs, but converting them into usable user stories in Azure DevOps was manual, time-consuming and a source of inconsistency between business and product teams.

Solution

BPMN-to-user-story generator: automatic analysis of process diagrams and generation of formatted stories (title, description, acceptance criteria). Trigger and iteration from Microsoft Teams. Automated push of validated stories into Azure DevOps backlog.

OpenAI APIMicrosoft TeamsAzure DevOps

Writing speed

100%

Immediate adoption

06Animal health / Pharmaceutical industry

Data platform migration strategy

Challenge

The existing data platform had issues with architectural clarity and cloud cost control, requiring rationalization before any major functional evolution.

Solution

Technical and functional analysis of the existing architecture: component mapping, data flows, dependencies and fragility points. FinOps analysis: identification of over-consumption drivers. Single-cloud migration recommendation with compared scenarios, make/buy arbitrage and phased deployment plan.

Cloud architectureFinOpsAzure DevOps

TCO /2

Post-migration

100%

Architecture visibility

Does your problem look like one of these cases?

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