Choosing configuration over code, and knowing when not to
Configuration is cheaper to build and far cheaper to maintain, until the requirement genuinely exceeds the platform. A practical test for the boundary.
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Move from AI experiments to governed, measurable Copilot and agent capability across Microsoft 365, Dynamics 365 and Power Platform.
Sales, service, field operations and customer data on a platform your teams will use, with the data quality that makes it dependable.
Apps, automation, portals and analytics delivered quickly, inside a platform model that keeps ownership and data boundaries under control.
Cloud platform, migration, integration, Microsoft Fabric analytics and the Microsoft security stack, designed as an operating model rather than a diagram.
Collaboration, content, intranet and employee experience with the information architecture and governance that keep them working.
Independent assessment, roadmapping and business-case support that turn ambition into a sequenced, fundable plan.
Solution, data, integration and security architecture with the decisions written down so the solution can be owned later.
Agile delivery, configuration, low-code development, migration and integration, released through a controlled path.
Functional, integration, acceptance, security and performance testing that produces artefacts you can review.
Stakeholder engagement, communication, training and adoption programmes measured by what people actually do.
Application support, platform administration, monitoring, incident management and a funded enhancement backlog.
Public and financial
Commercial and industrial
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Practice Lead, Business Applications
Daniel designs and delivers Dynamics 365 and Power Platform solutions, with a strong bias towards configuration, explicit process design and data quality controls that hold up long after go-live. He has spent much of his career untangling CRM implementations that recorded administration rather than supporting work.
Focus areas
Published
Configuration is cheaper to build and far cheaper to maintain, until the requirement genuinely exceeds the platform. A practical test for the boundary.
Data quality is an operating problem before it is a technical one. Controls help; ownership, incentives and a workable process matter more.
Dataverse, Dynamics 365, SharePoint, Power Pages or a custom Azure application: a decision framework based on process, data and lifecycle characteristics.
Automation in customer service works when the boundary between machine and human is explicit, measured and adjustable.
A Centre of Excellence should make good practice the easy path. When governance becomes an approval queue, makers route around it.