AI basics: what the technology actually does
Understand AI, machine learning and generative AI before choosing a business tool.
Insights for business teams
Exploring what AI can do in the Microsoft world—and what it takes to make it useful.
14 articles · AI foundations
Understand AI, machine learning and generative AI before choosing a business tool.
What retrieval-augmented generation adds, and why a citation is only the beginning of trust.
Move beyond prompt wording to the information, tools and boundaries surrounding a request.
Separate session context, durable preferences and authoritative business records.
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.
Choose between predefined steps, adaptive decisions and a combination of both.
Understand triggers, connections, inputs and testing before automating a business process.
A dated guide to consumption, licensing boundaries and a sensible pilot budget.
Connect Microsoft’s direction with practical skills, business ownership and measurable adoption.
Understand Microsoft’s partner skilling pathway, the delivery skills it emphasises and where to check current requirements.
Understand the three entry points, why they overlap and how to access the right one.
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.
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.
Microsoft 365 · Copilot
Teams spend time gathering meeting notes, tracking commitments and preparing updates across their working day.
How we help Role-based training for using Copilot with approved work information to prepare briefings, review meeting outcomes and draft follow-ups.
Intended outcome Less time assembling updates and clearer actions for people to review and own.
Copilot Studio · Microsoft 365
Employees repeatedly ask HR, IT or operations where to find the right policy, form or next step.
How we help Scope an internal service agent around approved knowledge and train the team responsible for maintaining it, with a clear handoff to a person.
Intended outcome More consistent access to guidance and fewer repetitive enquiries for specialist teams.
Microsoft Foundry · Connected systems
Customer-facing teams piece together information from documents and business systems before they can respond to a request.
How we help Assess and develop a tailored AI assistant that brings permitted information into a reviewable briefing, with appropriate access controls and source references.
Intended outcome Better-informed responses, with employees retaining responsibility for customer commitments.
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.
Have a similar challenge? We can assess the fit for your people, processes and Microsoft environment.
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