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Peliqan

Build AI Agents on Billtrust (icontroller)

Build intelligent AI Agents on top of Billtrust (icontroller) with Peliqan. Query your data in plain English, automate workflows with AI, and write changes back – all through a single platform with 250+ connectors and a built-in data warehouse.

Billtrust (iController)

Build AI Agents

Build AI Agents on top of Billtrust (icontroller)

Build intelligent AI Agents on top of Billtrust (icontroller), with Peliqan’s AI data foundation:

    • Billtrust (icontroller) MCP Server – let Claude, ChatGPT, or any AI client query and update your Billtrust (icontroller) data
    • Billtrust (icontroller) in n8n AI Agents – build automated workflows that reason on your data
    • Billtrust (icontroller) in Make – trigger AI-powered actions from your Billtrust (icontroller) events
    • Text-to-SQL on Billtrust (icontroller) – ask questions in plain English, get SQL-powered answers
    • Billtrust (icontroller) RAG – semantic search with out-of-the-box embeddings (vectors)
    • Billtrust (icontroller) Graph RAG – traverse relationships across your data entities
    • Unified 360° data – combine Billtrust (icontroller) with 250+ other sources in one warehouse

Billtrust (icontroller) MCP Server

Publish a Billtrust (icontroller) MCP Server with full read and write capabilities.

Peliqan syncs a read-only copy of your Billtrust (icontroller) data into its built-in warehouse – your AI agents query the cache, your live Billtrust (icontroller) is never touched. Connect Claude, ChatGPT, or any MCP client and start querying Billtrust (icontroller) in plain English.

Build MCP Server

Build AI agents in n8n

Billtrust (icontroller) in n8n

Build AI Chatbots and AI Agents in n8n that query your Billtrust (icontroller) data using Text-to-SQL and perform RAG on Billtrust (icontroller) documents and records.

Peliqan acts as the data layer – syncing your Billtrust (icontroller) data, converting natural language to SQL, and returning results your n8n agent can act on.

Implement a “Text to SQL” chatbot on Billtrust (icontroller)

Implement an AI Chatbot that answers analytical questions on Billtrust (icontroller) data using Text-to-SQL.

Ask “what were my top 10 customers last quarter?” or “which deals are stalled?” and get instant, accurate answers.

Peliqan converts your question to SQL, runs it against your Billtrust (icontroller) warehouse, and returns structured results – no SQL knowledge required.

Text to SQL

Implement a chatbot

Implement a chatbot with RAG on Billtrust (icontroller)

Implement RAG (retrieval-augmented generation) on Billtrust (icontroller) data with Peliqan’s out-of-the-box vector store.

Peliqan automatically creates embeddings of your Billtrust (icontroller) records, notes, and documents – so your AI agents can search semantically, not just by keywords.

Combine RAG with Text-to-SQL for AI that can both reason on numbers and understand context.

Combine Billtrust (icontroller) data with 250+ sources

Combine data from Billtrust (icontroller) with 250+ other connectors in Peliqan’s built-in warehouse.

Build unified 360° views of customers, deals, products, or employees – pulling from Billtrust (icontroller), your CRM, ERP, HR systems, and more.

Feed these unified data models to your AI Agents so they can answer cross-functional questions in a single query.

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Combine data

Prepare your Billtrust (icontroller) data for AI

Access, combine, and report on data from Billtrust (icontroller) and all your SaaS apps instantly. Gain valuable insights by bringing all your business data together in one place within minutes.

SaaS Data Cockpit

Unify, Automate & Activate Your Data 

Connect all your SaaS apps, databases, and spreadsheets into one workspace. Build automations, analytics pipelines, and data apps — all in one place.

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Frequently Asked Questions

Why do I need Peliqan for my AI ?

Most AI tools can’t access your Billtrust (icontroller) data directly. Peliqan solves this by syncing Billtrust (icontroller) into a built-in data warehouse and exposing it through MCP, Text-to-SQL, and RAG.

Your AI agents get governed, real-time access to Billtrust (icontroller) data combined with 250+ other sources – without building custom integrations.

Peliqan is the only platform that lets AI agents combine structured SQL queries with semantic RAG search on Billtrust (icontroller) data in a single context.

There are different ways to build an AI agent that can query data in Billtrust (icontroller) and take actions in Billtrust (icontroller). For example you can build an AI agent in n8n and use Peliqan as the data foundation. Peliqan will sync your Billtrust (icontroller) data to its built-in data warehouse and allow the AI Agent to perform “Text to SQL” and RAG to answer questions and to perform reasoning on Billtrust (icontroller) data, combined with data from 250+ other sources.

First sign up for a free trial on Peliqan.io, next connect Billtrust (icontroller) in Peliqan. Once that is done, create an AI agent in n8n and use the Peliqan n8n node in your worflow. Add Peliqan as a “tool” to your AI Agent node, so that the AI agent can query your Billtrust (icontroller) data using Text to SQL.

There are different options to use RAG (retrieval augmented generation) in your AI Agent with Billtrust (icontroller) data. One option is to create a workflow in n8n that fetches all Billtrust (icontroller) data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.

Connect Billtrust (icontroller) in Peliqan, then create an API handler using the built-in MCP template. Expose the Billtrust (icontroller) tables and actions your AI needs, set role-based permissions, and run pip install mcp-server-peliqan to connect Claude or ChatGPT. Your AI agents query a cached copy of your data – your live Billtrust (icontroller) is never touched. The full setup takes under 10 minutes.

n8n is a great tool to build AI chatbots that use Text to SQL, to answer any analytical question on your Billtrust (icontroller) data. Any question will be converted by the AI agent into an SQL query, which is executed by Peliqan on the Billtrust (icontroller) data in the data warehouse.

In order to prepare your Billtrust (icontroller) data for RAG, you need to create embeddings and store them in a vector store. This can be done by creating a workflow in n8n that fetches all Billtrust (icontroller) data from Peliqan and stores it in Supabase as a vector store, with embeddings created using e.g. OpenAI.

Peliqan data platform

All-in-one Data Platform

Built-in data warehouse, superior data activation capabilities, and AI-powered development assistance.

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