How to build a Compliance Chatbot

This agent answers company compliance questions by referencing a knowledge base of official documents.

Challenge

Employees waste time searching for and interpreting complex policy documents when they need compliance answers, leading to delays, confusion, and risk of non-compliance.

Industry

Finance

Department

Compliance

Content Creation

Integrations

OpenAI

Workflow Overview

1. User Message Input

  • Node: User message

  • Purpose: Collects a question or message from the user (e.g., “Do these social media posts about our credit card need to include APR disclosure?”).

  • How it works: This is the starting point. The user types their compliance-related question here.

2. File Upload

  • Node: Files

  • Purpose: Lets users upload and process files (such as policy documents, marketing materials, or social media posts).

  • How it works: Users can upload relevant documents. The node processes these files, including OCR (Optical Character Recognition) for scanned documents, and prepares the content for analysis.

3. Compliance Analysis

  • Node: Compliance Checker (LLM)

  • Purpose: Analyzes the user’s question, the uploaded files, and internal policy data.

  • How it works:

    • Receives the user’s message and the uploaded files.

    • Searches the provided files and a connected knowledge base for relevant policy sections.

    • Summarizes the compliance rule in simple terms.

    • If the answer is unclear or missing, it responds: “This requires escalation to the Compliance Team.”

    • Always cites the exact section, page, or policy name where the answer is found.

4. Escalation (if needed)

  • Node: Email Drafter (LLM)

  • Purpose: Drafts and sends an escalation email to the compliance team if the Compliance Checker cannot provide a clear answer.

  • How it works:

    • If the Compliance Checker’s output is ambiguous or says escalation is needed, this node drafts an email summarizing the user’s message and attaches relevant files.

    • The email is prepared for sending to the compliance team using a Gmail integration.

5. Output

  • Node: Output

  • Purpose: Displays the final result to the user.

  • How it works: Shows the compliance answer (or escalation notice) to the user.

How the Nodes Connect

  • User message and FilesCompliance Checker
    (The checker uses both the user’s question and uploaded files for its analysis.)

  • Compliance CheckerOutput
    (If a clear answer is found, it’s shown to the user.)

  • Compliance CheckerEmail Drafter
    (If escalation is needed, the output is sent to the Email Drafter.)

  • Email Drafter (not directly connected to Output in this flow, but prepares the escalation email for the compliance team.)

Summary Table

Node Name

Function

User message

Collects user’s compliance question

Files

Lets users upload and process files

Compliance Checker

Analyzes input, files, and policies; provides compliance answer

Email Drafter

Drafts escalation email if answer is unclear

Output

Displays the result to the user

In short:
The workflow collects a user’s compliance question and any relevant files, analyzes them against internal policies, and provides a clear, referenced answer. If the answer can’t be found, it automatically prepares an escalation email to the compliance team.

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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.