Case study · Intelligent documents

Bringing practical AI into enterprise document workflows.

We helped Plugandwork add natural-language search, intelligent classification, and workflow automation while preserving the data control its customers require.

AI integrationDocument intelligenceOn-premise deployment
Natural languageDocument access
AutomatedClassification
On-premiseData control
LangChain.rbAI foundation
Plugandwork
The context

Modernize a proven platform without compromising trust.

Plugandwork provides collaborative document management for real estate, insurance, and banking organizations in France. It wanted to use AI to make established workflows faster and more intuitive for enterprise customers.

01 · The challenge

Add intelligence where it creates real operational value.

The goal was not an AI demo. Plugandwork needed useful capabilities embedded into existing customer processes, with strong privacy and deployment control.

  • 01Retrieve and understand documents through natural-language interactions.
  • 02Automate categorization, tagging, and document-driven workflows.
  • 03Support customers that require storage and inference on premises.
02 · The integration

Start with workflows, then choose the AI.

We worked with Plugandwork's CTO to understand the processes customers already followed, identify high-value automation opportunities, and integrate our open-source Ruby AI framework into the platform.

01

Workflow discovery

Business processes defined where AI could remove steps and reduce friction.

02

Open-source foundation

LangChain.rb accelerated a deep, maintainable integration with the existing stack.

03

Deployment choice

Storage and inference can remain on premises for complete customer control.

03 · The product

Documents that can be found, understood, and moved forward.

AI capabilities sit inside the platform's existing experience, helping users retrieve information and advance work with fewer manual steps.

Plugandwork intelligent document search
01Natural-language interaction gives users a more direct path to relevant documents.
Plugandwork automated document workflow
02Classification and workflow automation move documents through business processes.
04 · The result

AI capability aligned with enterprise reality.

  • 01Faster document discovery through natural-language interaction.
  • 02Automated categorization, tagging, and workflow progression.
  • 03A deeper AI integration built into the existing product infrastructure.
  • 04On-premise storage and inference for customers requiring full data control.
Olivier Dirrenberger
Source Labs helped us quickly understand what was possible with AI and integrate it into our platform. The deeper infrastructure integration exceeded our expectations.
Olivier DirrenbergerCo-founder and CTO, Plugandwork
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