What you built for yourselves can be sold to twenty others.
A multi-organisation, multi-team platform with fine-grained role and permission management. Browser-based, administrable, scalable — and sellable to several customers.
- Multi-organisation by design
- Fine-grained permissions
- Ready to commercialise
Going from software to product almost always breaks in the same place
It is not the feature that is missing. It is the governance.
One customer in the data model
The tool was designed for one company. Taking on the second means separating data, configuration and rights — an architecture rework, not a setting.
Rights are binary
Administrator or user. The moment a customer asks that one team see its own files and not the neighbour's, there is no answer, and the sale stops there.
Administration runs through you
Creating an account, changing a right, opening a space: every customer request lands on your technical team. That model does not survive past a handful of customers.
The components of a platform that holds
They are built together: adding permission management afterwards almost always means a rewrite.
Organisations and teams
Several companies, several teams per company, strict data isolation between them.
Roles and permissions
Fine-grained rights per resource and per action, administrable by the customer without going through you.
Document spaces
Upload, versioning and sharing of documents, under the same access rules as everything else.
Workflows and automation
Business sequences, notifications and reminders, configurable per organisation.
APIs and integrations
A documented API so your customers can wire the platform into their own tools.
Administration and billing
Admin console, subscription management, usage tracking and per-organisation logging.
From internal product to sellable product
The path is the same whether you start from scratch or from an existing tool. On an existing one, the first step is an audit.
Audit of what exists, or initial scoping
If a tool exists, we audit its code, data model and technical debt to say what is reusable and what must be rewritten. If the project starts from scratch, we scope the perimeter of the first sellable product.
Multi-organisation model
Data separation per organisation, per-customer configuration, and rights designed into the model. This is the foundation: everything after depends on it, and little of it can be retrofitted easily.
Governance and administration
Admin console, management of roles, teams and invitations, so your customers administer themselves. This decides whether you can serve five customers or fifty.
Openness and integrations
Documented API, webhooks, connectors to the tools your customers already use. A closed platform hits a ceiling quickly in pre-sales.
Industrialisation
Monitoring, backups, scaling, per-organisation logging, subscription and usage management. The move from tool to service happens here.
Three trajectories
A company built an internal tool its peers want. The data model knows only one customer.
Architecture rework towards a multi-organisation model, role management, admin console and public API.
The tool becomes a sellable product, with a new revenue line built on an asset already paid for.
Each branch keeps its own tracking. Head office has no consolidated view and cannot harmonise anything.
Shared platform with isolation per branch, regional roles, consolidated dashboards at network level.
Each branch keeps its autonomy, head office gets a consolidated and reliable view.
The association wants to offer a shared digital service to its members, without data flowing between them.
Multi-organisation platform with isolated document spaces, invitations and administration delegated to each member.
The service opens to all members without the association becoming everyone's administrator.
What changes when the platform is properly designed
These effects are measurable. They depend almost entirely on the choices made at the data-model stage.
- involvement of your technical team to create an account or change a right
- 0
involvement of your technical team to create an account or change a right
- of data isolated per organisation, verifiable and logged
- 100 %
of data isolated per organisation, verifiable and logged
- of audit or scoping before any development
- 2-3 weeks
of audit or scoping before any development
These orders of magnitude come from what we measure at pilot on comparable perimeters. On your corpus they are measured before industrialisation, not promised before.
Frequently asked questions
Often yes, after an audit of the code and data model. The critical point is almost always data isolation: if it was not designed in, that is a deep piece of work.
It depends on the state of the data model. On a sound base, a few months. On a single-tenant base, count the architecture rework first.
You do, code included. That matters all the more given it is an asset you intend to sell.
Yes, in the European Union, with monitoring and backups. You can also host it yourselves: both models are open.
Yes, and the architecture plans for it: agents inherit the same organisations, teams and permissions. That is what makes AI usable across multiple customers without leakage between organisations.
The technical component for subscription and usage tracking, yes. The pricing model and commercialisation are yours.
What this solution does not do
Turning an internal tool into a SaaS product is a rebuild, not a configuration — and you need to know that before selling it to a customer. When the audit shows the data model will not survive the second customer, we say so, even if the conclusion is to start again on new foundations. We also do not take on commercialisation: building the product and selling it are two different trades.
Are other companies interested in your internal tool?
If the question has come up already, it deserves thirty minutes. We will tell you what is reusable and what needs rethinking.