
A Strategic Partnership of Over 3 Years with SUEZ SA
SUEZ SA, world leader in water management and environmental services, relied on Sinorfi to transform its most time-consuming operational processes. The mission covers the design, development and deployment of Power Automate robots on critical business processes at national scale.
- Mission scope20 Power Automate robots covering HR, Finance, Purchasing, Water Quality and User Communication processes — across all of France.
- Dedicated multidisciplinary teamProject Manager, Business Analysts and Power Platform Developers — a Sinorfi team fully dedicated to the SUEZ account.
- Full Build & Run modelSinorfi handles the full cycle: functional analysis, development, testing, production deployment and ongoing MCO support.
- Partnership renewed since 2023SUEZ's trust is reflected in a contract renewed each year — evidence of Sinorfi's delivery quality and operational mastery.
Tech stack: Power Automate · Power Apps Canvas · SharePoint Online · Microsoft 365 · OCR / PDF Extraction · Automated Outlook · DocuSign · GEDICOM
Case 1 — National citizen alerts: zero manual intervention
SUEZ Eau France · Grand Ouest, PACA regions and beyond
Context and challenge
- Agents had to manually trigger each SMS, voice and email campaign to notify users of an outage or upcoming works.
- A lengthy, error-prone process that could not scale to the volumes of the entire country.
- No traceability or reporting on sent campaigns.
- Heavy reliance on human availability to trigger alerts in real time.
Solution deployed by Sinorfi
- Power Apps — Interface agentCustom Canvas application allowing agents to configure and submit an alert campaign in a few clicks, via secure SSO.
- Robot Power AutomateTriggered on receipt of the email generated by the app — extracts data, queries the PDS database, imports contacts and launches the GEDICOM campaign.
- Automatic multichannel notificationSending SMS, voice messages and emails to all users in the affected area — complete traceability of every campaign.
- SharePoint archiving & reportingAutomatic deposit of campaign files, confirmation screenshot and TPMC platform update for regulatory archiving.
Execution flow
Agent configures alert → Email generated by Power Apps → Robot detects & extracts → PDS database query → SMS / voice / email campaign → SharePoint archiving
Case 2 — Drinking water analysis reports at national scale
SUEZ SA · Water quality · 5 regions · 3 processing runs/day
Context and challenge
- Hundreds of PDF reports received each month from accredited drinking water and sanitation laboratories.
- Entirely manual classification: time-consuming, prone to filing errors and not regulatorily traceable.
- Multi-region scope without a unified process: Auvergne-Rhône-Alpes, Est, Sud Île-de-France, Occitanie, Paris Seine Ouest.
- Regulatory obligation to trace water quality data — audit trail required by health authorities.
Solution deployed by Sinorfi
- Smart email readingThe robot monitors dedicated Outlook mailboxes and detects each incoming report — automatic identification of the sending laboratory and type (drinking water / sanitation).
- Extraction & classification PDFPDF content analysis — extraction of classification criteria (region, control type, lab reference) to file each report in the correct SharePoint subfolder.
- Arborescence SharePoint nationaleRigorous structure by region and report type — normalised classification and automatic renaming according to SUEZ regulatory references.
- Saisie Excel & traçabilitéData extracted and automatically entered into the drinking water and sanitation Excel reference files — complete audit trail and guaranteed regulatory compliance.
Execution flow — 3×/day (10am · 1:30pm · 4pm)
Lab email received in Outlook → PDF detection & OCR → Region / type classification → SharePoint filing → Excel reference entry → Regulatory audit trail
Transferability: from SUEZ to other sectors
The robots and methodologies developed for SUEZ can be directly transposed to other organisations, with the necessary sector-specific adaptations.
| Dimension | SUEZ mission (reference) | Application to other sectors |
|---|---|---|
| Volume & scope | 20 robots on critical SUEZ France processes | Phased deployment: pilot → national rollout in waves |
| Document types | Lab reports, user correspondence, purchase orders, operations reports | Invoices, administrative documents, HR files, correspondence, contracts |
| Automations | Multi-channel alerts, PDF classification, Outlook routing, Excel entry | Incoming mail processing, document archiving, approval workflows |
| Security & compliance | GDPR, customer data privacy, regulatory auditability | ISO 27001, data sovereignty, legal traceability, audit trail |
| Technical platform | Power Automate + SharePoint Online tenant SUEZ | Power Automate + SharePoint + Azure Cloud souverain |
| Maintenance model (MCO) | Dedicated Sinorfi team, contractual SLA | Same model, SLA adapted to client requirements |
Results: measurable operational transformation
- Zero manual intervention on notification cycles — The robot manages a complete citizen alert campaign end to end — from agent submission to regulatory archiving — in minutes, with no human intervention.
- Automatic processing 3 times a day — compliance guaranteed — Water analysis reports are processed at 10am, 1:30pm and 4pm without human intervention. Normalised classification and automatic Excel entry ensure the regulatory traceability required by health authorities.
- National scalability — from region to all of France — The robots cover multi-regional scopes (5 regions for water reports) and millions of potential users for citizen alerts, with no increase in human workload.
- 3 years of renewed strategic partnership — SUEZ SA's trust in Sinorfi is demonstrated by a Build & Run contract renewed over time, covering corrective and evolutionary maintenance of the entire production robot fleet.
- Directly transferable expertise — The methodologies, automation patterns and MCO practices developed for SUEZ provide a reusable reference for any document process automation project with strong regulatory constraints.


