What if you could divide by five the time it takes to deliver your FlowerDocs backlog? This is now a reality: the FlowerDocs MCP Server puts an AI assistant to work on the configuration of the platform itself.
Over the past two years, every document management vendor has added an AI layer. Automated classification, data extraction, document chatbots: AI helps users get more out of what's already in the system.
But before a user can search, classify or automate anything, someone has to configure the platform. Document classes, workflows, search forms, access rights: it's deep, technical work that requires understanding how all the pieces fit together.
And yet, that's where project success is decided.FlowerDocs is Uxopian Software's document management platform, deployed across insurers, mutual insurance companies and organizations managing high volumes of business documents.
With Uxopian AI, we already help users get more from their documents. With the FlowerDocs MCP Server, we've chosen to go further: applying AI to the setup of the platform itself. The MCP server connects an AI assistant directly to the administration layer.
The MCP server equips an AI assistant with hands-on access to the FlowerDocs administration layer. The administrator describes what they want in natural language: create a class, adjust a workflow, configure a search form ... The assistant turns the request into actions, drawing on its knowledge of how FlowerDocs objects depend on one another to guide and safeguard each step. What used to require dedicated training and deep platform knowledge is now accessible from day one.
Half an hour later, the module was there: document types configured with the right metadata, virtual views that make everyday work easier for business users, and roles defined and wired.
It even shipped with the system to manage and approve a bank of validated answers, and an advanced handler that splits the incoming Excel sheet, reuses approved answers, and opens workflow tasks for the questions with low confidence or no answer at all.
Three document types · a few handlers · a workflow class · user actions, teams, roles, custom ACLs
A working RFP module in under one hour
Don't get us wrong: this is where the real work starts. Our recent vibe-coding experience taught us that it can take many iterations to find the right spot for your business users. Those iterations were always necessary; in the past, there was simply no budget left to run them. Now there is. This is the time to make your projects shine.
Every action runs under the permissions of the connected FlowerDocs user. The assistant can never do more than that user is already allowed to do.
The real complexity of FlowerDocs configuration was never the product itself, it was knowing how objects relate to one another. The assistant handles that complexity. An integrator can start a project without prior training, even on technical configurations.
Paired with the FlowerDocs documentation, the assistant produces configuration that follows current best practices. Quality stays consistent regardless of the integrator's experience level.
Which document types use this metadata? Which workflows will be affected if I change this configuration? The assistant answers without navigating the admin interface. Whether it's for incident analysis, impact assessment or bringing project documentation up to date.
FlowerDocs configuration has entered a new dimension. For your next projects, your teams, your clients.
See how an assistant configures FlowerDocs in natural language.
Document management, workflows and AI-driven configuration.
Installation, configuration and usage guide.
Request a demo and watch an AI assistant configure FlowerDocs in natural language, from the first spec to a working module.