This adoption of the Power Platform has given rise to citizen developers supported by professional developers – to continue to nurture this, the Power Platform Centre of Excellence (CoE) provides the tools to drive best practices and set guidelines to improve consistency, compliance, and governance throughout an organisation.
This CoE is a collection of tools to help your organisation adopt a Microsoft Power Platform strategy to spur rapid application development, and support makers, and align to organisation-wide goals rather than department-only goals. A CoE is designed to drive innovation and improvement and serves as a central function to break down any silos, whilst at the same time providing standards, consistency, and governance to the organisation.
A key principle is to clarify why you’re setting up a CoE, what you aim to accomplish and the key business outcomes you hope to achieve. Then get started and learn and evolve along the way. For many, the CoE is a first step in fostering greater creativity and innovation across the organisation by empowering business units to digitise and automate their business processes, while maintaining the necessary level of central oversight and governance.
The Microsoft Centre of Excellence (CoE) Starter Kit is a collection of components and tools that are designed to help you get started with developing a strategy for adopting and supporting the Microsoft Power Platform. These can help with the following:
Microsoft provides a set of templates that allows you to set up your own Centre of Excellence for the Power Platform. All Microsoft clients have access to the starter kit. Contact us today and we can help you start your own development.
At Kiandra, we work closely with Product Owners to bridge the gap between their organisation’s needs and our delivery team’s technical expertise. This collaboration is crucial for keeping the project aligned to business goals, managing scope effectively, and ensuring value is delivered.
“How do we make sure our AI systems behave responsibly, not just accurately?” We get this question a lot. Usually after something has already gone a bit sideways. Here is the short answer: You build responsibility into AI from the very beginning. Guided by our B-Corp principles, we see responsible AI as a balance of purpose and effectiveness.
When working with clients in the earliest stages of a project, speed matters. The faster we can turn ideas into something visual, the sooner we can test assumptions, get feedback, and align on a direction. That’s where product ideation tools like Lovable come in.
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