How to build a Business Partnerships Assistant

This agent automates the process of discovering partnership opportunities, searching for matching events in a target city, and compiling actionable recommendations for easy sharing and tracking.

Challenge

Enterprises struggle to efficiently discover, evaluate, and track relevant local events and speaking opportunities that align with their mission.

Industry

Nonprofit

Government

Department

Research

Sales

Integrations

Google Docs

Web Search

Workflow Overview

1. Files Upload (doc-0: Files)

  • Purpose:
    Lets you upload and process company documents (like mission statements or past event reports).

  • How it works:
    Uploaded files are processed (including OCR for scanned documents) to extract text for analysis.

2. Summarize Company Interests (llm-0: Interests)

  • Purpose:
    Reads your uploaded documents and summarizes your nonprofit’s interests and focus areas.

  • How it works:
    Uses an AI model to analyze the text from your files and generate a concise summary of your organization’s key interests and goals.

3. City Input (in-0: City Input)

  • Purpose:
    Allows you to enter the city where you want to find nonprofit events and speaking opportunities.

  • How it works:
    You provide the city name (e.g., "Austin, TX") as input.

4. Craft Search Query (llm-1: Summary)

  • Purpose:
    Uses the summary of your interests and the city to craft a web search query for relevant events and speaking opportunities.

  • How it works:

    • Combines the company interests (from step 2) and the city (from step 3).

    • Generates a search query designed to find events and speaking opportunities that match your nonprofit’s focus.

    • This node is configured to use a web search tool to help find real events.

5. Recommend Best-Fit Events (llm-2: Recommendations)

  • Purpose:
    Analyzes the search results and recommends the best-fit events and speaking opportunities for your nonprofit.

  • How it works:

    • Takes the company interests and the list of events found in the previous step.

    • Uses AI to recommend which events and speaking opportunities are the most relevant and actionable for your organization.

6. Output Results (out-0: Output)

  • Purpose:
    Shows the final results to the user.

  • How it works:
    Displays the recommended events and speaking opportunities generated by the previous step.

7. Write to Notion Page (action-1: Write to Page)

  • Purpose:
    Automatically adds the formatted event recommendations to a Notion page for easy sharing and tracking.

  • How it works:

    • Takes the outputs from the three LLM nodes (interests, search summary, and recommendations).

    • Writes this combined content to a specified Notion page, so your team can access and track the recommendations.

How the Data Flows

  1. You upload documents
    AI summarizes your interests
    You enter a city
    AI crafts a search query
    AI analyzes search results and recommends events
    Results are shown to you and also written to Notion for sharing.

Node & Edge Map

Node Name

Description

Files

Upload and process company documents

Interests

Summarize company interests from documents

City Input

Enter the city you are visiting

Summary

Craft search query for events and speaking opportunities

Recommendations

Summarize and recommend best-fit events

Output

Show the final results

Write to Page

Add content to an existing Notion page

Special Features

  • Automated Notion Integration:
    Your recommendations are not just shown in the app—they’re also pushed to a Notion page for easy access and collaboration.

  • Web Search Integration:
    The workflow uses a web search tool to find real, up-to-date events and opportunities.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.

Get started

Let’s Build AI Agents, Together

Book a demo to see how AI agents can help your team process unstructured documents and perform complex analysis faster and more accurately.