AI system architecture: the model is one component
Understand the services and responsibilities around a dependable business AI application.
Insights for business teams
Exploring what AI can do in the Microsoft world—and what it takes to make it useful.
5 articles · Business Central
Understand the services and responsibilities around a dependable business AI application.
Why data types, APIs, version control and tests remain essential when AI writes or runs code.
What Agent 365 does, how to use it and how identity, permissions and oversight protect Business Central processes.
Separate the coding tool, the model and the deployed extension—and keep engineering checks in the loop.
Use AI assistance to accelerate a Business Central change without outsourcing your engineering judgement.
Applied AI in your business
From everyday productivity to connected business systems, we help teams assess where AI fits, build the right capability and put it to work. These illustrative engagement scenarios show the kinds of business needs we can support.
Business Central · AI-assisted development
Extension teams balance new requirements with code review, testing, documentation and ongoing maintenance.
How we help Practical training and guided adoption of AI assistance across the Business Central development lifecycle, tailored to the team’s standards and environment.
Intended outcome Less repetitive development effort and more capacity for business logic, quality and maintainability.
Business Central · EDI · Copilot Studio
Operations teams investigate orders held up by missing information or mismatches between trading-partner messages and business records.
How we help Review the integration process and assess where an AI-assisted exception summary can support the team alongside established validation and approval controls.
Intended outcome Clearer exception handling and less manual investigation, with business-system changes remaining controlled.
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