Using AI to Build Tables and Fields in Dynamics 365 with PowerMakerAI’s AI Entity Builder & Visualizer (Tool Showcase)

Recently, I came across a very interesting tool called PowerMakerAI, developed by a fellow community member. I felt it’s worth sharing here because it directly helps us in one of the most common and time-consuming tasks — creating tables and fields in Dynamics 365.

Creating custom entities and fields in Microsoft Dynamics 365 is essential — but let’s be honest, it’s often tedious and time-consuming. Navigating through multiple forms, selecting field types, defining metadata, and ensuring consistency takes significant effort, especially for complex data models.

That’s where PowerMakerAI’s AI Entity Builder with Visualizer comes in.

🎯 What is the AI Entity Builder?

The AI Entity Builder is a natural language-powered tool that lets you create complete entity definitions by simply describing what you need — just like talking to a junior developer.

Instead of clicking through menus or filling out field properties manually, you can say:

“Create an entity called ‘Customer Feedback’ with fields for Name, Email, Rating (1-5), Comments, and Submitted On.”

PowerMakerAI understands your intent and instantly generates a complete schema, including:

• Logical names
• Display names
• Field data types
• Required levels
• Primary field selection
• Relationship suggestions (coming soon)

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👁️ Visualizer: See What You’re Building — Instantly

One of the most powerful additions is the interactive schema visualizer.

Once your entity is generated, the visualizer shows you:

• All attributes in a structured format
• Field types (text, number, option set, date, etc.)
• Required vs optional fields
• Entity-level metadata
• [Coming Soon] Relationships with other entities

You can drag, zoom, and explore your schema visually — no need to switch back and forth between the Dynamics UI and your schema documentation.

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🧠 How It Works (Under the Hood)

PowerMakerAI uses a combination of:

• Natural Language Understanding (NLU): To detect intent, field names, data types, and relationships.
• CRM Schema Intelligence: Built-in logic that maps certain keywords to CRM field types (e.g., “status” = OptionSet, “submitted on” = DateTime).
• Dynamic Validations: Prevents common issues like duplicate logical names or unsupported characters.

It then presents the results in human-readable formats.

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⚡ Benefits

• 🕒 Save Hours: No more manual field creation
• 💬 Speak Requirements: Great for functional consultants too
• 📦 Deployment-Ready: Export and import with minimal edits
• 🧩 Visual Confidence: Know what you’re building before you build it
• 👥 Perfect for Teams: Let non-technical users define schema, and devs just approve and deploy

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🧪 Example Use Case

A marketing team wants a “Campaign Response” entity. Instead of submitting a spec document and waiting for dev time, they use PowerMakerAI:

“Create a Campaign Response entity with Contact, Campaign Name, Response Type (dropdown), Notes, and Created On.”

💡 In under 30 seconds, the entire entity is ready, visualized, and exportable.

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🚧 Coming Soon

We’re just getting started. Upcoming features include:

• 🔁 Relationship suggestions (1:N, N:N)
• ✅ Auto-validation for solution compatibility
• 📤 One-click push to your CRM environment
• 🔄 Integration with PowerMakerAI’s chatbot for conversational updates

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💬 Try It Yourself

You can explore PowerMakerAI yourself here: https://powermakerai.com. The creators are currently offering it free during beta.