--- id: post/aardvarklabs-blog/1816 type: post title: Creating Data Driven Text with AI in Business Central summary: This post shows how to build a Copilot in Business Central that generates personalized reminder text for overdue customer balances by combining user input with customer data from the database. It demonstrates passing customer name, balance due, last invoice date, and tone to an AI model to create natural-sounding collection letters. tier: community language: en tags: - copilot - ai integration - azure openai - customer reminders - al development - prompt engineering - data-driven content system: copilot review: state: reviewed by: opus at: "2026-10-08T02:00:49.614Z" flags: [] generated: at: "2026-10-08T01:26:53.141Z" pipeline: 0.2.0 prompts: extract-post: 1 input_hash: 079f34123d90c789275e5d7b32651ffe34966c4de67dd626c94701cf4dce23d5 evidence: - kind: blog url: https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/ title: Creating Data Driven Text with AI in Business Central date: "2025-05-30" commit: null t: null quote: null - kind: blog url: https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/ title: Creating Data Driven Text with AI in Business Central date: "2025-05-30" commit: null t: null quote: We are going to create a Copilot that generates reminder text for overdue balances. - kind: blog url: https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/ title: Creating Data Driven Text with AI in Business Central date: "2025-05-30" commit: null t: null quote: Temperature is a value from 0.0 to 2.0 defining how creative we want to allow the GPT system to be. links: learn: [] objects: - object/codeunit/7771 - object/codeunit/7770 - object/codeunit/7761 - object/codeunit/7763 - object/codeunit/7768 - object/codeunit/457 - object/table/18 - object/table/21 features: [] topics: [] localizations: [] videos: [] posts: [] guidelines: [] post_id: "1816" source_id: aardvarklabs-blog source_name: Aardvark Labs url: https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/ published_at: "2025-05-30T12:00:00.000Z" author: Marcel Chabot full_text: false words: 1344 quotes: - text: We are going to create a Copilot that generates reminder text for overdue balances. why_it_matters: Defines the specific use case that demonstrates how to combine BC data with AI for business automation - text: Temperature is a value from 0.0 to 2.0 defining how creative we want to allow the GPT system to be. why_it_matters: Explains a key parameter for controlling AI output characteristics based on business requirements code_objects_mentioned: - codeunit ARD_CopilotReminderGenerator - codeunit Azure OpenAI - codeunit AOAI Operation Response - codeunit AOAI Chat Completion Params - codeunit AOAI Chat Messages - codeunit AOAI Deployments - codeunit ARD_IsolatedStorageWrapper - codeunit Environment Information - table Customer - table Cust. Ledger Entry - page ARDReminderPrompt systems: - copilot - sales - integration versions_mentioned: [] preview: embeddable: true frame_url: https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/embed/ image: https://aardvarklabs.blog/wp-content/uploads/2025/05/ec11e549-36a6-4da0-aa62-391fdd5edd37.jpeg image_alt: null image_w: 1024 image_h: 1024 site_name: Aardvark Labs favicon: https://aardvarklabs.blog/wp-content/uploads/2024/04/design-1.png?w=32 probed_at: "2026-10-07T11:52:04.270Z" --- # Creating Data Driven Text with AI in Business Central [Read the post](https://aardvarklabs.blog/2025/05/30/creating-data-driven-text-with-ai-in-business-central/) · Aardvark Labs (Marcel Chabot) · 2025-05-30 · 1344 words · tier community · reviewed (checked by Opus) > This post shows how to build a Copilot in Business Central that generates personalized reminder text for overdue customer balances by combining user input with customer data from the database. It demonstrates passing customer name, balance due, last invoice date, and tone to an AI model to create natural-sounding collection letters. ## Key points - Create a new Copilot codeunit that accepts customer data as parameters alongside user input to build dynamic prompts - Use TextBuilder to combine customer information (name, balance due, invoice date, tone) into a structured user prompt sent to Azure OpenAI - Configure AI temperature setting (0.7 in this example) to control how creative the model's output should be - Retrieve customer and ledger entry data from Business Central tables to feed into the AI prompt - Add a button to the Customer Card to trigger the reminder generation process with a modal page for user input ## Quotes - "We are going to create a Copilot that generates reminder text for overdue balances." (Defines the specific use case that demonstrates how to combine BC data with AI for business automation) - "Temperature is a value from 0.0 to 2.0 defining how creative we want to allow the GPT system to be." (Explains a key parameter for controlling AI output characteristics based on business requirements) ## AL objects mentioned As named in the post. A name that matches one object page by exact type and name links to it; the others stay as named. - codeunit "ARD_CopilotReminderGenerator" - [codeunit 7771 "Azure OpenAI"](../../objects/codeunit/7771.md) - [codeunit 7770 "AOAI Operation Response"](../../objects/codeunit/7770.md) - [codeunit 7761 "AOAI Chat Completion Params"](../../objects/codeunit/7761.md) - [codeunit 7763 "AOAI Chat Messages"](../../objects/codeunit/7763.md) - [codeunit 7768 "AOAI Deployments"](../../objects/codeunit/7768.md) - codeunit "ARD_IsolatedStorageWrapper" - [codeunit 457 "Environment Information"](../../objects/codeunit/457.md) - [table 18 "Customer"](../../objects/table/18.md) - [table 21 "Cust. Ledger Entry"](../../objects/table/21.md) - page "ARDReminderPrompt" Not found in BC28-30: codeunit "ARD_CopilotReminderGenerator", codeunit "ARD_IsolatedStorageWrapper", page "ARDReminderPrompt". ## Context - Features: Copilot prompt engineering with dynamic data, Azure OpenAI Chat Completion integration, Customer data lookup and filtering, Temperature control for AI creativity, User prompt builder with multiple parameters, Customer Card action for reminder generation, Modal page for user input and tone selection Source: Aardvark Labs, community blog. Summary, key points and quotes are derived (CONTENT-NOTICE.md); read the original for the full text.