Finance departments are entering one of the biggest technological transformations in decades. Artificial Intelligence, autonomous agents, Copilot experiences, automation platforms, and modern ERP systems are rapidly changing how organizations manage accounting, reporting, forecasting, procurement, compliance, and financial operations. But what does this transformation actually look like inside real Dynamics 365 Finance & Operations environments? In this episode of the m365.fm podcast, Mirko Peters sits down with Microsoft MVP and Microsoft Certified Trainer Billur Samdancioglu to explore the future of finance in D365FO, AI-powered business applications, Copilot experiences, autonomous agents, cloud ERP modernization, and how Microsoft is reshaping enterprise finance workflows. Billur Samdancioglu is a Dynamics 365 Finance & Operations expert, Microsoft MVP, Microsoft Certified Trainer, public speaker, and business applications specialist with deep experience helping organizations modernize financial systems and enterprise operations. Throughout the episode, Billur shares practical insights from working with enterprise customers, implementing D365FO projects, and helping finance teams navigate the growing impact of AI inside Microsoft business applications.

HOW FINANCE TRANSFORMATION IS ACCELERATING

The conversation begins with Billur sharing her journey into the Microsoft ecosystem and how Dynamics 365 Finance & Operations evolved into one of the most powerful ERP platforms inside modern enterprises. What was once viewed primarily as an accounting system has transformed into a fully connected digital operations platform capable of integrating finance, procurement, logistics, reporting, analytics, automation, and AI-driven decision support. Billur explains that many organizations are now facing increasing pressure to modernize legacy ERP systems because older platforms simply cannot keep pace with modern cloud expectations, automation requirements, AI integrations, compliance demands, and real-time reporting needs. Companies want faster processes, more visibility, better forecasting, lower operational overhead, and smarter financial insights — all while maintaining strong governance and security. One of the strongest themes throughout the episode is that finance modernization is no longer only about replacing software. It is about redesigning how finance teams actually work. AI is changing workflows themselves, not just the tools being used. 

WHAT COPILOT REALLY MEANS FOR D365FO

A major focus of the discussion centers around Microsoft Copilot and how AI assistants are being integrated directly into Dynamics 365 Finance & Operations. Billur explains that Copilot is far more than a chatbot inside ERP systems. It represents a shift toward contextual AI assistance where users can interact with business systems using natural language rather than navigating deeply complex enterprise interfaces. The episode explores how Copilot can already assist finance professionals with:

• Invoice analysis and validation
• Financial summarization
• Procurement assistance
• Reporting generation
• Data exploration
• Workflow acceleration
• Process guidance
• Forecasting support

Billur shares how many repetitive operational tasks inside finance departments are ideal candidates for AI-assisted automation because they involve structured processes, predictable data patterns, and repetitive validation activities. Mirko and Billur discuss how finance professionals increasingly interact with ERP systems conversationally instead of manually searching through dozens of menus, forms, and reports. Rather than spending time locating data, employees can ask business questions directly and receive actionable insights instantly.

AI AGENTS, COWORK, AND AUTONOMOUS BUSINESS PROCESSES

One of the most exciting parts of the episode focuses on autonomous agents and Microsoft’s vision for “Cowork” experiences inside enterprise applications. Billur explains that AI agents are evolving beyond passive assistants toward systems capable of independently executing tasks, monitoring workflows, identifying anomalies, and assisting departments proactively. The discussion explores scenarios where AI agents may eventually:

• Monitor overdue invoices automatically
• Detect unusual financial activity
• Recommend procurement optimizations
• Generate operational summaries
• Trigger workflows independently
• Escalate compliance risks
• Assist with budgeting processes
• Coordinate cross-department processes

Billur explains that Microsoft’s broader AI strategy increasingly revolves around collaborative AI systems where humans and AI agents work together rather than fully replacing employees. Instead of eliminating finance professionals, AI will likely remove repetitive administrative work and allow teams to focus more heavily on strategy, analysis, and business decision-making. The episode also examines the growing relationship between Dynamics 365, Microsoft Fabric, Power Platform, Copilot Studio, and Microsoft’s broader AI ecosystem. Modern finance environments are becoming increasingly interconnected, with data flowing across multiple systems simultaneously.

WHY DATA QUALITY BECOMES EVEN MORE IMPORTANT WITH AI

One of the most important insights from the conversation is Billur’s strong emphasis on data quality. AI systems are only as effective as the underlying data powering them. Poor ERP configurations, inconsistent business processes, incomplete records, or inaccurate financial information can quickly create unreliable AI outputs. Billur explains that organizations rushing into AI adoption without first cleaning up their ERP environments may face major operational problems later. Before deploying advanced AI capabilities, companies need:

• Structured master data
• Consistent business processes
• Strong governance
• Proper permissions
• Secure integrations
• Reliable reporting structures
• Accurate financial records

Mirko and Billur discuss how many organizations underestimate the preparation required before AI can deliver meaningful business value. AI is not magic — it amplifies the quality of existing systems and processes.

THE ROLE OF FINANCE PROFESSIONALS IS CHANGING

Another major theme throughout the episode is how the role of finance professionals is evolving. Traditional accounting work increasingly becomes automated through ERP systems, AI tooling, robotic process automation, and intelligent workflows. Billur believes the future finance professional will require a broader combination of:

• Financial expertise
• Technology understanding
• Data literacy
• AI awareness
• Process optimization skills
• Business analysis capabilities
• Strategic thinking

Rather than spending entire days performing repetitive transactional work, finance teams increasingly focus on interpreting insights, improving operations, supporting strategic decisions, and collaborating across departments. The conversation also highlights how younger professionals entering finance careers are already expecting modern digital tooling, automation, cloud-based collaboration, and AI-assisted workflows as standard workplace experiences.


 be compromised. The episode explores concerns around:

• AI governance

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