Dynamics 365 AI: Where Do You Start?
How do you move beyond isolated AI experiments in Dynamics 365 and build workflows that genuinely solve business problems, while also maintaining control and ensuring compliance?
What’s the Difference Between Dynamics 365 AI Experiments and Governed Workflows?
Many organisations begin their journey with Microsoft Dynamics 365 AI by experimenting with individual features – a bit of Copilot here, a quick Power Automate flow there. While these initial explorations can be valuable for understanding capabilities, they rarely translate into measurable business value on their own.
The difference lies in the transition from isolated experimentation to carefully designed and governed workflows. Experiments are often tactical; they address immediate needs without considering broader implications or long-term sustainability.
Governed workflows, however, are strategic—they’re built around defined business problems with clear objectives, controls, and ongoing monitoring.
A true Dynamics 365 AI workflow isn’t just about automating a task; it’s about creating an end-to-end process that leverages AI to improve efficiency, reduce errors, and enhance decision-making. This requires more than simply deploying a prebuilt agent or tweaking a Copilot prompt. It demands a structured approach, encompassing everything from problem definition to ongoing optimisation.
Defining a Business Problem: The Foundation of Successful Dynamics 365 AI
Before even considering which AI tools to use, it’s crucial to clearly define the business problem you’re trying to solve. This isn’t about finding a way to “do AI”; it’s about identifying an operational bottleneck or inefficiency that AI can realistically address.
For example, instead of thinking “Let’s automate something with AI,” consider “How can we reduce the time spent processing vendor invoices?” or “How can we improve lead qualification accuracy?”.
This problem definition should be specific, measurable, achievable, relevant, and time-bound (SMART). It needs to articulate not only what you want to achieve but also how you’ll measure success. Without a clear understanding of the desired outcome, it’s impossible to determine whether your AI initiative is actually delivering value.
Identifying Suitable Dynamics 365 AI Use Cases – Beyond the Obvious
While there are many compelling use cases for Dynamics 365 AI, it’s important to move beyond the obvious. While automated invoice processing or improved lead qualification are excellent starting points, true value often lies in uncovering less apparent opportunities. Consider areas where human intervention is repetitive, error-prone, or requires significant time and expertise.
For example, within Dynamics 365 Business Central, prebuilt agents like the Sales Order Agent and Payables Agent offer immediate benefits for order capture and invoice processing respectively. However, custom agent development can address more nuanced workflows, such as automatically flagging potential discrepancies between purchase orders and goods receipts.
In Dynamics 365 Sales, the Sales Qualification Agent and Sales Research Agent streamline lead management, but opportunities exist to build agents that provide sellers with personalised insights based on customer interaction history.
Sysco Software’s AI Workflow Discovery service helps organisations identify these hidden gems by systematically evaluating processes across Business Central, Sales, Field Service, Finance and Supply Chain Management. We focus on separating genuine workflow improvement candidates from generic AI ideas to ensure a focused and impactful implementation strategy.
The Core Components of an Agentic Dynamics 365 Workflow
An agentic Dynamics 365 workflow typically comprises several key components working together. This includes the data source (e.g., Dynamics 365 Business Central, Sales, or Field Service), the AI model itself (whether a prebuilt agent or a custom-designed solution using Microsoft Copilot Studio), and the integration points that connect the AI to existing business processes.
Crucially, these workflows also require clear input parameters—the data and rules that guide the AI’s actions. For instance, in an automated invoice processing workflow, this might include criteria for automatically approving invoices based on vendor reputation or purchase order terms. Furthermore, human oversight remains essential; agents should flag exceptions or complex cases for review by a human operator.
Governance and Control: Keeping Your AI Initiatives on Track
As with any technology implementation, governance is paramount when deploying Dynamics 365 AI workflows. This involves establishing clear policies around data usage, access control, and agent behaviour. It’s not enough to simply deploy an AI solution; you need to ensure it operates within a framework of accountability and transparency.
Microsoft’s Agentic Business Solutions direction places significant emphasis on the trust layer—including security, governance, and compliance. Sysco Software’s Agent Readiness and Governance Assessment service helps organisations establish these controls before deploying any AI solution, mitigating risks and ensuring alignment with regulatory requirements. This includes defining agent identities, establishing approval workflows, and monitoring performance.
Getting Started with Dynamics 365 AI: A Practical Roadmap
Embarking on a successful Dynamics 365 AI journey requires a structured approach. Here’s a practical roadmap to guide you
- Define the Problem: Clearly articulate the business problem you’re trying to solve and establish measurable success criteria.
- Assess Readiness: Evaluate your data quality, permissions, environment controls and agent identities.
- Start Small: Begin with a pilot project focused on a well-defined workflow—perhaps leveraging prebuilt agents like the Sales Order Agent or Payables Agent in Business Central.
- Iterate & Refine: Continuously monitor performance, gather feedback from users and refine your AI models based on real-world results.
- Expand Strategically: Once you’ve demonstrated success with a pilot project, gradually expand your AI initiatives to address other operational challenges.
Sysco Software offers a range of services to support organisations at every stage of their Dynamics 365 AI journey, from initial discovery to ongoing optimisation. Our Dynamics 365 Agent Pilot and Implementation service provides hands-on assistance with designing, configuring, integrating and deploying your first agentic workflows.
Ready to move beyond experimentation and unlock the true potential of Dynamics 365 AI?Explore our Microsoft Dynamics 365 services todayand let us help you build governed workflows that deliver tangible business value.
