AI only operates within a workflow framework designed for validation
Roles, validations & governed decisions. Workflow versioning and governance. Every decision is demonstrable.
The platform
AI Governancefor regulated industries.
Flownium runs on-premise inside your environment and keeps AI under versioned and approved workflows. Every result is defensible, so you can finally put AI to work in GxP without compromising on compliance.
- Audit-ready Proof
- SOPs into AI-powered Workflows
- Unified Data layer
The platform
A platform designed to accelerate critical processes
Flownium structures workflows, orchestrates data from your systems and ensures traceable, governed execution.
01
Structure workflows
Visual & intuitive workflow design. Configurable business rules.
02
Orchestrate data from your systems
QMS, ERP, LIMS, EDMS… No system replacement.
03
Ensure traceability & auditability
Complete workflow history. AI interaction logs. Decision justification. Audit-ready export.
On-premise deployment
Your data never leaves your infrastructure. No cloud dependency. Designed to fit your security policies.
Our differences
Why is Flownium different?
Processes become executable
In critical processes (non-conformances, change controls, validation), decisions can't hinge on whoever's running the case. Flownium captures the decision logic and executes it, so outcomes stay consistent, reproducible and under control.
AI is governed, not left unchecked
Unlike standard AI tools, Flownium only runs AI inside versioned, approved workflows. The AI doesn't make decisions. It carries out your process.
Auditability and justification, by design
Every result is traceable, justified, and tied back to its sources. The reasoning is structured, retained, and exportable for audit.
An orchestration layer built for critical processes
Your systems hold the data. Flownium puts it to work by orchestrating compliant workflows on top of the stack you already run.
Your data stays in your hands
Flownium deploys on-premise, inside your own infrastructure. No data ever leaves your environment. A non-negotiable in GxP.
Use cases
What Flownium concretely transforms
Non-conformances
Today
Long, inconsistent investigations that swing with whoever's assigned. Scattered data, mixed justifications, frequent reopenings.
With Flownium
Investigations run inside a workflow designed for validation. Consolidated data, structured reasoning, explicit sources.
Impact
Estimated 25-40% reduction in non-conformance analysis time (internal modeling). Fewer reopenings. Consistent, auditable decisions.
Change Control
Today
Uneven impact analyses. Endless back-and-forth. Risk of underestimating impact.
With Flownium
Assessments run inside a complete, approved workflow. Standardized logic, governed reasoning, traceable sources.
Impact
Estimated 20-35% reduction in change control processing time (internal modeling). Aligned decisions. Lower quality risk.
Qualification & Validation
Today
Slow drafting. Inconsistent structure. Quality hinges on the author.
With Flownium
Drafts generated inside a structured framework, grounded in your own data. Consistent content, explicit logic, sources built in.
Impact
Estimated 30-50% reduction in qualification and validation drafting time (internal modeling). Less rework. Inspection-ready files.
ROI
Measurable return on investment from the first year
Conservative optimization
4,000 to 6,000
hours saved per year (estimated, internal modeling)
$350,000 to $500,000
in annual savings (estimated, internal modeling)
Example from an industrial site
4 to 6 hours per non-conformance
10 to 15 hours per change control
12 to 15 hours per Qualification file
500 non-conformances / year
150 Change Controls / year
50 Qualification / Validation files
Based on an average loaded cost of $85/h
Beyond the financial gain
- ✓Fewer reopenings
- ✓Less inter-department back-and-forth
- ✓More consistent decisions
- ✓Better knowledge capitalization
- ✓Reduced audit gap risk
A transparent model
Gains are based on conservative assumptions: • Partial optimization of processing times • Without radical organizational transformation • Based on real field data • Applicable from the first quarter of deployment Each estimate is verifiable and tailored to your operational context.
Frequently asked questions
What is Flownium?
Flownium is an on-premise platform that governs how AI is used in your most critical processes. It structures versioned, approved workflows around the data already living in your existing systems (QMS, ERP, LIMS, EDMS…). Every AI-driven decision is traceable, justified, and backed by its sources, with structured reasoning you can export. Flownium runs entirely inside your infrastructure. No data ever leaves your environment.
How does Flownium handle compliance and audit trails?
Flownium puts AI execution inside a framework that holds up in regulated environments. Every workflow run is logged, versioned, and tied to explicit reasoning and sources. The workflows themselves are controlled (validation, versioning, user permissions), so decisions stay justifiable and reproducible. Every interaction and result rolls up into a structured, exportable audit trail aligned with GxP, 21 CFR Part 11, Annex 11, and similar requirements.
Does Flownium replace existing QMS, ERP, or LIMS systems?
No. Flownium doesn't replace your existing systems. It complements them. It plugs into your ecosystem, taps your data, and structures process execution on top of the tools you already run. Your systems stay the systems of record. Flownium adds the execution, control, and decision traceability layer on top.
What ROI can companies expect from Flownium?
Across critical processes, Flownium meaningfully cuts processing time while raising decision quality. Estimated 4,000-6,000 hours saved per year for a mid-size industrial site (internal modeling, based on 500 NCs/150 change controls/50 qualifications at $85/h loaded cost), or roughly $350,000 to $500,000 in yearly savings (estimated, internal modeling). On top of that: • fewer reopenings • more consistent decisions • audit-ready files Flownium isn't just automation. It cuts time, variability, and quality risk together.
Is Flownium deployed on-premise or in the cloud?
Flownium is deployed exclusively on-premise, inside your own infrastructure. No data ever passes through third-party servers. The platform runs on standard hardware and slots into your existing security policies, so you keep full control over your data and how it's used.
How long does a Flownium deployment take?
A first use case can be live in a few weeks. Flownium plugs into your existing systems through standard connectors. No changes required on your side. Rollout is incremental: pick one critical process, structure it in Flownium, then quickly extend to other workflows. No heavy IT project. No system overhaul.
About
Our vision, our approach
A conviction
Critical processes are not slow due to a lack of skills. They are slow because information is scattered and decisions are not sufficiently structured.
A different approach to AI
We don't seek to make AI more spectacular. We make it usable, traceable and controllable in environments where every decision must be justifiable.
A clear ambition
Transform complex decisions into executable and auditable processes. To enable organizations to gain speed, reliability, and control.
The team
The founders
A biotechnology engineer, Michael has spent over 10 years in highly regulated industrial environments (pharma and medical devices). He has led Quality and MSAT departments, managed complex investigations and driven operational transformation programs. In direct contact with operations, one reality stands out: systems document processes. They don't structure decision-making. Flownium was born from this field reality: turning decisions into the engine of critical process execution.
A CentraleSupélec engineering graduate, Victor has over 10 years of experience in engineering and technology platform development. He has designed architectures capable of supporting distributed, complex and highly scalable systems. At Flownium, he designs the infrastructure that allows AI to be integrated directly into operational workflows. An architecture designed to: • connect existing systems • structure process execution • ensure traceability, governance and robustness