Microsoft, AI, and the New Reality of Indirect Tax for Mid-Market Teams

As your business grows by expanding into new markets (triggering nexus), facing e-invoicing mandates, migrating to the cloud, or something else, the demands on your indirect tax function don’t just increase— they accelerate. What once felt manageable quickly becomes harder to track, maintain, and scale.

And if you’re in the Microsoft ecosystem, you’re often feeling that pressure sooner than most. Microsoft continues to lead in areas like AI innovation, pushing new capabilities into its platforms at a rapid pace. But being early also often means being the first to face changes. It means adapting to new requirements, new workflows, and new expectations before many organizations have fully figured it out.

For tax teams in mid-market organizations, it exposes a growing gap: the processes that were “good enough” even a year ago are now being pushed to their limits.

The Challenges for Mid-Market Tax Teams

Microsoft Dynamics 365 provides a strong foundation for managing finance and operations, including indirect tax. Yet at a certain point, managing tax directly inside the ERP becomes harder to sustain. If you’re part of a lean, mid-market team, you’re likely running into some familiar challenges:

• Resource constraints across teams (IT, Tax, Finance): Aside from managing increasing complexity, integrations, and ongoing updates, you’re also being asked to evaluate, implement, and govern new AI capabilities. This expands the workload without expanding resources, further straining bandwidth and slowing down transformation efforts.
• Scaling operations breaks existing processes: As you grow—entering new markets, adding products, or increasing channels—tax and finance processes don’t scale. At the same time, AI-driven changes introduce new data, workflows, and expectations that legacy processes weren’t built to support. The result: growing inefficiencies, increased risk, and added pressure on already fragile operations.
• Heavy reliance on manual processes and workarounds: You may still be relying on spreadsheets, manual reconciliations, and patchwork fixes. These approaches are time-consuming, error-prone, and don’t provide the accuracy or auditability needed as complexity grows.
• Rising regulatory complexity and compliance pressure: Constantly evolving global and local tax rules (e.g., e-invoicing mandates, international reforms) make compliance harder to manage. You’re expected to keep up, increasing the risk of penalties, audit exposure, and reporting gaps.
• Siloed data and poor cross-functional alignment: When your data is spread across different Tax, Finance, and IT systems, it creates disconnects between teams. This results in implementation delays, misaligned priorities, and technical debt that impacts the entire organization.

What It Takes to Keep Pace with Change

That’s why more organizations are exploring how to extend Dynamics 365 with an AI-driven, purpose-built tax engine—not to replace what works, but to better support the scale and speed of change they’re facing. Because the challenge isn’t just solving for what’s happening today, it’s making sure whatever you put in place can keep up with what comes next. This is where a more practical applications of AI are starting to emerge—helping reduce manual effort to maintain tax configurations, keep systems synchronized as data changes, and improve accuracy across transactions.

Once you start thinking about modernizing tax in Microsoft Dynamics 365, the conversation quickly expands: what does the right end-to-end architecture actually look like, how do you align IT, Tax, and Finance around the initiative, what risks emerge if implementation isn’t done correctly, and how do you build a business case that gets buy-in at the executive level?

Join the Discussion on June 17

These are exactly the questions we’ll be digging into in a live panel discussion with Vertex, Microsoft, and Grant Thornton. In this session, we’ll go beyond the “why” and explore:

• How organizations are approaching tax automation within the Microsoft ecosystem
• How AI solutions like the Vertex Configuration Agent for D365 are eliminating manual configuration
• What it takes to successfully align stakeholders across IT, Tax, and Finance
• Common implementation pitfalls (and how to avoid them)
• What strong ROI looks like, both at go-live and beyond

We’ll also discuss what recent moves in the Microsoft partner ecosystem—like Grant Thornton’s acquisition of MCA Connect—signal about where this space is heading. Register now to join the conversation.