Business AI agents, quickly deployable, to automate administrative, repetitive and time-consuming tasks in production, maintenance, quality and supply chain.
We combine operational excellence with AI agents to redesign cross-functional processes for industrial companies — manufacturers, specialty chemicals, ingredients, food, fragrances and life sciences — unlocking productivity, improving service levels and accelerating growth.
Many organizations invest in technology but struggle to convert those investments into measurable operational performance.
Markets are moving faster, customers expect immediate answers, and supply chains are increasingly volatile. Manual or batch-based processes can no longer keep pace. Real-time automation of critical tasks — order validation, inventory reallocation, demand sensing, exception handling — is becoming a competitive necessity. Only AI can absorb the volume, variety and velocity of operational data and turn it into decisions made in the moment.
of the measurable benefits from AI are captured by just 20% of companies.
The gap between AI experimenters and AI leaders is widening fast. Religo helps industrial companies cross it — by turning AI investment into measurable operational performance.
Independent research from IDC, Accenture, Gartner and Goldman Sachs converges on the same conclusion: most companies invest heavily in AI, but very few translate it into measurable value. Religo was built to close that gap.
An IDC study cited by ITPro shows that only 19% of companies say their AI projects have exceeded expectations. Around 78% remain stuck at the pilot stage or fail to scale — driven by higher-than-expected costs, poor data quality, weak ROI and unclear use cases.
Accenture UK's CEO recently stated that around 90% of companies have not yet captured measurable financial benefits from their AI investments. The technology works — but most organizations have not transformed their processes, operating model and ways of working enough to unlock the value.
Gartner places generative AI in the “Trough of Disillusionment” of its Hype Cycle. Expectations were extremely high, real economic value remains hard to demonstrate, and many executives are turning more cautious after their first pilots.
Jim Covello, Head of Equity Research at Goldman Sachs, notes that AI adoption is strong and investments are massive — but profits generated remain well below expectations. Outside chipmakers like NVIDIA, very few players are capturing meaningful returns today.
The next three years will reshape who — or what — runs operational decisions inside industrial companies. Religo helps you prepare governance, processes and teams for that shift.
increase in decisions made directly by AI within 3 years
increase in AI working independently of humans
of advanced companies anticipate a major shift in their operating model
Source: Salesforce — State of IT / Agentic AI outlook
Artificial intelligence now makes it possible to automate a large number of administrative, repetitive and low value-added tasks. This automation improves productivity, reduces lead times and frees teams for higher-value activities.
But limiting AI to a simple technological tool would be a mistake.
Its real impact lies in transforming the company. Integrating AI leads to rethinking processes, organization, roles and responsibilities. It changes the way decisions are made, teams collaborate and performance is managed.
Tomorrow, companies will no longer manage only employees, but also AI agents capable of autonomously carrying out part of their activities. This evolution requires new governance, new performance indicators and new management modes.
At RELIGO, we support our clients far beyond the deployment of AI solutions. We redesign their operating model with them to integrate AI at the heart of their business processes, organization and governance.
Our conviction is simple: AI is not an end in itself. It is an accelerator of transformation that makes it possible to build more agile, more efficient and more resilient organizations. Value creation does not come from technology alone, but from the way the company adapts its functioning to fully exploit its potential.
Religo Partners combines operational excellence, supply chain transformation, AI and executive leadership experience to identify and implement high-impact opportunities.
Lean, structured diagnostics rooted in 27 years of frontline experience.
End-to-end planning, service and inventory redesigned for resilience.
Pragmatic AI deployment where it moves real operational KPIs.
Operators in the room. Boardroom credibility, plant-floor pragmatism.
Our core mission at Religo Partners is to redesign cross-functional processes — the ones where multiple departments meet, where time leaks and where the real value is hidden.
We help industrial companies unlock 20 to 40% of productivity by combining process redesign, automation and AI agents.
The LLM is just the reasoning engine of the agent. The value is in the process redesign around it.
Collapse a 20-step process into 5 — fewer hand-offs, fewer delays, fewer errors.
Take repetitive administrative tasks off your teams' plates.
End duplicate data entry between systems and departments.
Compress decision lead times from weeks to hours.
Bridge SAP, MES, CRM, maintenance and quality into one operational flow.
86% of employees want to use automation, but only 30% of business leaders give them access to it — and just 5% allow them to create their own automations.
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studyA paradox sits at the heart of every transformation roadmap: demand for automation is everywhere, access to it is rare. Closing that gap — safely, at scale, with the right governance — is exactly what Religo is built for.
Not another AI vendor. We sit on your side of the table to design, govern and prove the transformation — from process map to measured ROI.
Cartograph end-to-end operational, support and decision flows across the plant and the enterprise.
Pinpoint the exact handoffs, decisions and tasks where AI agents move the P&L needle.
Re-architect how work flows between humans, systems and agents — not just bolt AI on top.
Set the rules: human-in-the-loop, audit trails, model risk, data boundaries, escalation paths.
Choose the right stack — Unframe, morganesoulier.com, ARTEFACTS, MULTIPLAI, THOUGHTWORKS and others — based on the use case, not the logo.
Instrument every agent with the business KPIs that prove value: hours saved, error rate, cycle time, margin.
The major gains will come from the complete reengineering of workflows — not from automating isolated tasks.
We don't just deploy agents. We put in place the management system for your future digital workforce.
This is exactly the direction MIT Sloan, Harvard Medical School and the major Agentic AI programs are converging on today.
Performance does not come from centralising data, but from distributed intelligence able to transform data into useful decisions locally.
The agent is designed to augment experts, not replace them — with human approval required for high-impact decisions.
Human-in-the-loop by design: every high-stakes action passes through an expert before execution.
During its first 12 months, the agent will deliver measurable improvements in productivity by reducing process analysis and reporting time by 20 to 40%, while increasing the consistency and traceability of operational recommendations. Engineers and managers will spend less time collecting and consolidating data, allowing them to focus on higher-value activities such as problem solving and continuous improvement. We also expect improved auditability through automated documentation and a reduction in routine human errors caused by omissions or inconsistent analysis. These benefits will be achieved while maintaining human oversight for all high-impact decisions, so early ROI should be measured primarily through time savings, user adoption, and decision quality rather than full labor cost reduction. As the system is refined through operational feedback, these productivity gains are expected to translate into measurable operational and financial improvements.
A vast horizon of value waiting to be captured across your operations.
Process by process, we climb with you — until performance reaches a new peak.
Same process, redesigned around agents: decisions happen in parallel, exceptions are flagged in real time, and admin work disappears. That is Agentic Process Transformation.
3 products only. Industry only. Deployment in 30 days. We no longer sell an AI agent — we sell a measurable business outcome.
Deployment in 30 days with a commitment to measurable gains.
Predictive maintenance (Sentinex)
AI models analyze sensor data to predict failures in advance.
Supply Chain Control Tower (Nexora)
Real-time overview of supply chain performance and end-to-end visibility.
Lean daily management & OEE (FactoryX)
Continuous performance steering of the shop floor, in the spirit of your Lean missions.
« Rise in line stoppages → cross-referencing work orders + breakdown history + sensors → identification of a recurring asset → intervention prioritization → work order and parts preparation → maintenance alert. »
« Shortage risk detected → cross-referencing orders + inventory + forecasts + supplier lead times → root-cause identification → replanning proposal → buyer / supplier alert → follow-up until resolution. »
« Falling OEE → cross-referencing production + stoppages + quality + maintenance → identification of main losses → root-cause analysis → action plan generation → assignment to owners → results tracking. »
Power BI visualizes the gaps. Our AI agents interpret them, connect them and trigger the appropriate actions.
| Capability | Power BI / Traditional BI | Religo AI agents |
|---|---|---|
| Detect | Shows KPIs, trends and gaps. | Automatically identifies anomalies and weak signals. |
| Cross-reference | The user navigates between multiple datasets. | Crosses ERP, CMMS, production, inventory, quality, suppliers… |
| Understand | The user must interpret. | Finds probable causes and explains the drift. |
| Decide | The user decides on the action. | Proposes and prioritizes actions by impact / urgency. |
| Act | Little to no automated action. | Triggers alerts, tasks, intervention requests and workflows. |
| Track | Shows the KPI trend. | Verifies the action was completed and measures its impact. |
Power BI tells you what happened.
Our agents understand why, propose what to do, and trigger the action.
A pragmatic shortlist — ranked by tangible ROI — to focus AI investment where it pays back fastest in manufacturing, supply chain, quality and operations.
We work across the value chain — from the front office to the plant floor — grouped by typology so every executive sees where the gains are.
More than 27 years leading transformation programs across Europe and North America.
Over $300M of operational improvements identified and delivered.
Deep experience in ingredients, chemicals, life sciences and industrial manufacturing.
Technology is a tool. Business impact is the objective.
Results vary by organization. Religo commits to identifying measurable value opportunities and establishing clear performance indicators before implementation begins.
Religo orchestrates execution alongside best-in-class technology and consulting partners — selected for proven impact in industrial environments.
A curated network of AI leaders and operational specialists.
French-American Executive & Entrepreneur
I founded RELIGO to help industrial leaders reinvent the way their companies operate. After nearly three decades redesigning business processes across global organizations, I am convinced that Artificial Intelligence represents the greatest opportunity ever to transform industrial performance — not by replacing people, but by fundamentally redesigning how work gets done.
Prior to founding RELIGO, I spent nearly a decade in the United States as CEO of AEC Partners, leading the firm's North American expansion and delivering large-scale transformation programs for global industrial and healthcare organizations.
My training in Artificial Intelligence at the Massachusetts Institute of Technology (MIT) was a natural evolution of my career as a consultant, deepening my ability to help industrial leaders turn AI into a practical lever for operational transformation.
For more than 27 years, I have led business transformation initiatives across Europe and North America, guided by one simple conviction: sustainable performance comes from redesigning business processes — not simply implementing new technologies.
I have helped executive teams reinvent several typologies of processes across Healthcare, Life Sciences, Chemicals, Food & Beverage, Aerospace, Luxury, Steel, Packaging, Utilities and Energy, improving cost, quality, service, agility and customer experience.
My transformation experience spans virtually every core business function, including Manufacturing, Supply Chain, Maintenance, Quality, Procurement, Finance, R&D, Clinical Development, Medical Affairs, Pharmacovigilance, Logistics, Sales, Order-to-Cash, New Product Introduction, Product Launch, Transport, Warehouse Operations and Post-Merger Integration.
Unlike many AI consulting firms, RELIGO starts with business processes — not technology. We believe Artificial Intelligence creates lasting value only when it fundamentally redesigns how organizations operate. Rather than deploying isolated AI tools, we help companies reinvent their operating model around AI agents, enabling faster decisions, leaner operations and measurable business outcomes.
A selection of organizations across chemicals, life sciences, energy, industry and luxury that partnered with Thomas Grange to redesign their cross-functional processes and operations.
Discover how much value is hidden inside your organization.
“We build for you solutions that are faster, more economical and more effective.”
