For organizations preparing for a Microsoft Dynamics 365 Finance and Supply Chain Management implementation, time is often one of the biggest concerns. ERP projects require decisions, documentation, testing, training, data preparation, integrations, change management, and post-go-live planning. Each of those activities matters, but many have historically depended on manual, repetitive work that slows the project down. AI is changing that equation.
At Sikich, we see AI as a practical way to help implementation teams work faster without losing the strategic thinking, governance, and business alignment that successful ERP projects require. The goal is not to rush through critical decisions. The goal is to reduce the time spent on low-value manual effort so teams can focus more attention on design quality, adoption, risk management, and measurable business outcomes.
Where AI saves implementation time for Dynamics 365
Testing
Some of the largest AI-driven time savings appear in testing. In a traditional implementation, teams spend significant time creating test scripts, executing scenarios, documenting defects, and validating fixes through regression cycles. With AI-generated test cases, automated testing support, and faster regression analysis, organizations can potentially reduce testing effort by 20% to 50%. For clients, that can mean more complete validation, fewer bottlenecks, and greater confidence heading into user acceptance testing and go-live.
Documentation
Documentation is another area where AI can create immediate efficiency. Functional design documents, process flows, meeting summaries, configuration notes, training guides, and support materials can consume hundreds of project hours. AI can help draft, organize, summarize, and continuously update documentation based on project inputs. Estimated reductions of 50% to 80% are possible when AI is used thoughtfully, especially when paired with consultant review and client validation.
Training
Training content creation can also move faster. Rather than building every guide, job aid, and learning path from scratch, AI can help generate role-based training materials, process-specific instructions, and personalized learning content for finance, procurement, warehouse, manufacturing, and supply chain users. This can reduce training content creation by an estimated 50% to 70%, while helping clients deliver more relevant resources to the people who will use Dynamics 365 every day.
Data migration
Data migration preparation is another high-impact opportunity. AI can assist with data profiling, mapping, cleansing, deduplication, and anomaly detection before data is loaded into Dynamics 365. That preparation is often one of the most time-consuming and risk-sensitive parts of an implementation. By helping teams identify issues earlier, AI can reduce data migration preparation effort by an estimated 30% to 60% and support a smoother transition to the new system.
Development
Development and integration work can also benefit from AI-assisted coding, code review, test generation, and documentation. In areas where requirements are well defined, AI can help accelerate routine development tasks and integration preparation, with estimated reductions of 30% to 70%. Project management administration is another area of opportunity, with AI supporting status updates, action item tracking, meeting summaries, risk logs, and schedule analysis. These activities can see estimated reductions of 40% to 60%, helping project leaders spend less time compiling updates and more time removing obstacles.
Overall better use of time
Recent industry research supports this direction. Boston Consulting Group estimates that generative AI can already reduce organization-wide ERP implementation effort by 20% to 40%, with savings concentrated in resource-intensive areas such as testing, training, and documentation. Forbes has also highlighted how AI is addressing the manual workload that slows ERP programs, while McKinsey has noted that AI and agent-based models could significantly reduce ERP delivery effort as the technology matures.
For Sikich clients, the value of AI is not just a shorter project timeline. It is a better use of time. By reducing repetitive manual work, AI allows implementation teams to spend more energy on the decisions that shape long-term success: process alignment, data quality, adoption, controls, reporting, and continuous improvement. In a Dynamics 365 Finance and Supply Chain Management implementation, that is where time savings become business value.
Want to see how? Connect with Sikich experts to see how AI can benefit your D365 implementation.
This publication contains general information only and Sikich is not, by means of this publication, rendering accounting, business, financial, investment, legal, tax, or any other professional advice or services. This publication is not a substitute for such professional advice or services, nor should you use it as a basis for any decision, action or omission that may affect you or your business. Before making any decision, taking any action or omitting an action that may affect you or your business, you should consult a qualified professional advisor. In addition, this publication may contain certain content generated by an artificial intelligence (AI) language model. You acknowledge that Sikich shall not be responsible for any loss sustained by you or any person who relies on this publication.
