Case study · AI Agent · Databricks

A unified AI assistant for political intelligence.

How Tenplus turned fragmented public political data into a grounded AI agent that answers complex questions with full citations and traceability.

DatabricksMedallion architectureUnity CatalogRAG pipelineLLM agent
AI agent · Databricks
Fragmented public data into trusted political insight.
Hours → secondsTime to answer
FullCitations & lineage
1AI assistant
Client background

Political research and public communication.

The client works in the political research and public-communication space. Their challenge was simple to state and hard to solve: political data was everywhere, but nowhere in one place.

At a glance
  • Policy analysts, journalists and research teams
  • NGOs and political observers
  • Citizens seeking a neutral, structured view
The problem

Political data was fragmented, slow to search and hard to analyse.

Political information lives across dozens of public sources, with no neutral, structured way to compare it.

Sources spread across parliament portals, transcripts, committee reports and voting records.
Party websites, manifestos, press releases and open-data portals, all separate.
Time-consuming manual searches.
Hard to see how positions change over time.
Impossible to compare parties or individuals quickly.
No neutral, structured view of political information.
What they needed
  • Answer how a party positioned itself on a topic over years
  • Trace how a representative voted on specific bills
  • Compare parties on a policy area
  • With sources, citations and full traceability
Solution overview

An end-to-end Data + AI platform on Databricks.

Tenplus designed and delivered a governed pipeline feeding a domain-aware political AI agent.

1

Automated ingestion

from many public political sources.

2

Medallion architecture

Bronze to Silver to Gold, for clean, structured data.

3

Unity Catalog

for governance, lineage and access control.

4

A domain-aware RAG pipeline

grounding answers in the source data.

5

A custom political AI agent

that answers with citations and traceability.

Built with DatabricksMedallion architectureUnity CatalogRAG pipelineLLM agent
How we built it

From raw public data to a grounded AI agent.

1

Step 1Ingesting political data from multiple public sources

2

Step 2Processing data through the Databricks medallion architecture

3

Step 3Building the domain-aware LLM layer and AI agent

4

Step 4Grounding every answer with citations and lineage

5

Step 5Serving fast, real-time political analysis

Results

Trusted, AI-driven political intelligence.

  • Centralises fragmented political data.
  • Provides structured political intelligence.
  • Supports analysts, journalists, NGOs and citizens.
  • Powers a domain-aware AI agent with citations.
  • Ensures full data transparency through Unity Catalog.
  • Enables fast, real-time political analysis.
★★★★★
Tenplus built exactly what we needed, an AI system that gives clear, trusted political insights with full citations. Our team can now answer complex questions in seconds instead of hours. The combination of Databricks, structured data and a grounded AI agent is a game changer.
Director of Research · Political Intelligence Organisation
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Turn scattered data into a grounded AI assistant.

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