Before
Manual and fragmented
Project knowledge and templates live across a large SharePoint library. Finding the right source, reading it and turning it into a useful draft interrupts delivery teams and produces inconsistent starting documents.
All case studies
Live client systemAI & Automation
Quartz Project Services
A Teams assistant grounded in the firm's SharePoint library
Leo AI answers project questions and generates working documents inside Microsoft Teams by searching the construction firm's own SharePoint files.
Live system map
Quartz Project ServicesHow the work moves
One connected path from request to result.
Client
Quartz Project Services
Agenryx system
AI & Automation
Operating change
Staff ask in Teams and receive a grounded answer in the same thread
Live
Client system operating in Microsoft Teams
2
Independently deployable services
1
Grounded SharePoint search tool
01 · The challenge
What the client needed to resolve
The problem before Agenryx.
Project knowledge and templates live across a large SharePoint library. Finding the right source, reading it and turning it into a useful draft interrupts delivery teams and produces inconsistent starting documents.
The change
From bottleneck to working system.
Agenryx built
One connected workflow
A two-service Railway deployment: a Node and TypeScript Teams bot plus a Python and FastAPI MCP server, each containerised independently and joined by a local Compose setup for development and diagnosis.
Resolved
A clearer way to operate
Staff ask in Teams and receive a grounded answer in the same thread
02 · What we built
The system behind the experience.
Architecture and workflow
A Teams webhook calls a separate MCP service. That service searches and fetches SharePoint content through Microsoft Graph, gives the retrieved material to a headless document agent and returns the answer or generated file links to the originating thread.
What shipped or was designed
A two-service Railway deployment: a Node and TypeScript Teams bot plus a Python and FastAPI MCP server, each containerised independently and joined by a local Compose setup for development and diagnosis.
03 · Product walkthrough
See how the workflow moves.
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agenryx.system/quartz-leo-ai
Live walkthroughSystem in action
The work enters one clear workflow
Project knowledge and templates live across a large SharePoint library. Finding the right source, reading it and turning it into a useful draft interrupts delivery teams and produces inconsistent starting documents.
One source of truth
Clear ownership
Visible status
04 · What changed
The value is in the operating change.
Staff ask in Teams and receive a grounded answer in the same thread
Document requests reuse the firm's own SharePoint templates
Generated files return through signed download links instead of email attachments
Technology used
Microsoft TeamsSharePointMicrosoft GraphMCPFastAPITypeScript