The future of business operations with AI Builder in Dynamics 365 F&O

AI Builder in Dynamics 365 F&O
Amidst the swift advancements in business technology, medium to large-scale enterprises are witnessing significant transformations. With the fusion of Microsoft Dynamics 365 for Finance and Operations (D365 F&O) and artificial intelligence’s sophisticated capabilities, we have landed in a new era of Tech innovations. Buckle up if you’ve been searching for that “aha” moment in your organization’s transition into the digital age. This blog explores how medium to large-scale businesses use AI Builder to improve processes, gain insights, and increase productivity.

AI BuilderAn overview

AI Builder is a handy tool that makes using artificial intelligence accessible for everyone in a company. It’s part of Microsoft’s Power Platform that simplifies the process of extracting valuable data-driven insights and automating routine tasks without complex coding. When AI combines with D365 F&O, the duo facilitates decision-making.

AI Builder and D365 F&O Integration

Integrating AI Builder with Microsoft Dynamics 365 for Finance and Operations (D365 F&O) sets the stage for many business opportunities. Here is a brief overview of the integration process.

Data synchronization

Data synchronization ensures data consistency across multiple platforms and enables real-time data analysis and information extraction. This eliminates data silos and inconsistencies and leads to enhanced decision-making and streamlined operations.

Custom model building

With AI Builder, you can create dedicated AI models tailored to specific needs. It can be used to understand customer sentiments, extract relevant data, or identify particular objects.

Automation

Once your AI models are established, they automate tasks and use the data collected by D365 F&O to streamline your operations.

Real-time decision support

Combining AI Builder and D365 F&O provides your team with analytics, predictions, and guidance. The ultimate aim is to empower your team to make well-informed decisions that contribute to your business growth.

Real-life scenarios

Inventory Forecasting

Today, let’s zoom in on a challenge that medium to large-scale enterprises often struggle with—inventory management. Too much stock can lead to wasted resources and inflated costs, while too little can result in missed sales opportunities and frustrated customers. Maintaining optimal inventory levels can be daunting for medium to large-scale enterprises, often requiring extensive manual effort and data analysis. But here’s the good news: According to sources such as Microsoft and Builder.ai, AI Builder streamlines inventory management using object detection models. This feature allows retailers to predict future demand accurately with historical sales data, market trends, seasonality, and lead times. They can focus on on-site customer relationship building instead of getting bogged down by inventory issues.

Vendor invoice processing

Another common business challenge is processing a large volume of vendor invoices, which requires manual data entry and validation. This is not only time-consuming but also prone to errors. AI Builder automates invoice data extraction, eliminates manual data entry, and minimizes the risk of human errors.

Implementation process and advantages

  • Establishing a data extraction model: AI Builder creates a model tailored for extracting critical invoice data such as invoice numbers, dates, amounts, and vendor details. This eliminates the time-consuming manual entry of data.
  • Integration with D365 F&O: A flawless incorporation of the AI model into your D365 F&O system ensures smoother operations. This integration enhances the reliability of financial records and substantially reduces the risk of human errors.
  • Handling invoice arrival: When vendor invoices arrive, the integrated system efficiently processes them through the AI model. This quick data extraction leads to prompt invoice processing, supporting compliance with regulatory requirements.
  • Conducting data validation: The system checks the accuracy of the extracted data, flagging any discrepancies for your finance team’s review. This meticulous validation ensures accurate and reliable transactions, maintaining positive vendor relationships.

A step-by-step guide to implementing AI Builder in Dynamics 365 Finance and Operations

Launching the integration of AI Builder in D365 F&O for your medium to large-scale business requires careful planning and execution. This step-by-step flowchart is designed to guide you smoothly through the process. Step 1: Define business objectives Identify precise business objectives that AI Builder within D365 F&O will address. Step 2: Data collection Gather and centralize relevant data from D365 F&O and other pertinent sources. Step 3: Model creation Leverage AI Builder to craft custom AI models finely tuned to your objectives. Step 4: Integration Seamlessly integrate the AI models with D365 F&O for real-time, comprehensive data analysis. Step 5: Testing and validation Conduct rigorous testing to ensure the integrated system delivers accurate data extraction and predictions. Step 6: Automation Set up automation rules within D365 F&O to proactively respond to observations generated by AI Builder. Step 7: Monitor and fine-tune the system Continuously monitor the system’s performance, making necessary adjustments for ongoing optimization. Step 8: Ongoing training Keep your AI models current by regularly feeding them new data, ensuring sustained accuracy and relevance.

Wrap up

As we step into this exciting new phase of operations, it’s crystal clear: AI isn’t just a trend—it’s the game-changer every business needs to thrive in today’s economy. The AI journey is more than a starting point; it’s a bold leap into a future where innovation becomes the heartbeat of growth, rewriting business rules—exciting times are ahead! Contact us to learn more about AI Builder and Dynamics 365 Finance and Operations.