Build secure, user-friendly business applications with Microsoft Power Apps - governed delivery, scalable data models, and an adoption-ready release approach.
Talk through your requirements and leave with a clear next-step plan.
Service Overview
Highlights
- Supports Canvas and Model-driven Power Apps
- Clear environment and solution strategy for controlled releases
- Role-based security and data access aligned to Entra ID
- Integrations with SharePoint, Dataverse, Microsoft 365, and line-of-business systems
- Operational handover with documentation and ownership clarity
Business Benefits
- Faster delivery of business applications without sacrificing governance or security
- Improved data quality through structured forms, validation, and role-based access
- Higher user adoption driven by clear UX aligned to real operational workflows
- Reduced reliance on spreadsheets and email-based processes
- A supportable app model that can be enhanced as requirements evolve
Typical use cases
- Replacing spreadsheet-based tracking with a structured app
- Frontline or field data capture on mobile devices
- Approval and request processes with role-based routing
- Operational dashboards driven by consistent Dataverse data
- Departmental apps that need to scale beyond individual ownership
Objectives & deliverables
What Success Looks Like
- Replace manual spreadsheets and email-driven processes with structured apps and workflows
- Improve data quality through validated inputs, role-based forms, and auditable processes
- Create faster turnaround for business change by using a governed low-code approach
- Integrate processes across Microsoft 365 and line-of-business systems using connectors and APIs
- Enable reporting and operational oversight by capturing consistent data in Dataverse or governed repositories
What You Get
- A production-ready Power App aligned to your process and roles
- Documented solution architecture and configuration notes
- Deployment package (solutions) and environment configuration guidance
- Operational runbook and ownership model for support and enhancements
- Backlog of improvements and next-step opportunities
How It Works
- Discovery - confirm process scope, personas, pain points, and success measures.
- Design - define the data model, app UX approach, and integration requirements; agree environments and governance.
- Build - implement the app with validation, security roles, and reusable components where appropriate.
- Test - user testing, negative-path validation, and performance/UX tuning.
- Release - controlled deployment with documentation, training, and support handover.
- Enhance - backlog-based iteration for continuous improvement and additional features.
Engagement Options
- App Build - single Power App delivered to a defined scope
- Process Replacement - multi-step app and workflow replacing manual processes
- Platform Foundation - environments, governance, and patterns for multiple apps
- Enhancement Sprint - targeted improvements to an existing Power App
Common Bundles
Customers who use this service often bundle with these services
Power Automate Engineering
Engineer Microsoft Power Automate workflows with approvals, integrations, monitoring, and structured error handling for reliable, supportable business automation.
Power Platform Governance, CoE & ALM
Establish Power Platform governance with CoE capability and ALM controls, providing visibility, guardrails, and controlled delivery for apps and automations.
API & System Integrations
Design and implement API integrations connecting business systems with secure authentication, retries, logging, and supportable middleware patterns operations.
Dataverse & Solution Architecture
Architecture-led Dataverse design establishes secure data models, clean solutions, and ALM foundations that keep Power Platform and Dynamics 365 scalable.
Data Strategy & Architecture
Define a clear data strategy and target architecture that aligns platforms, governance, security and cost with measurable business outcomes.
Cosmos DB & NoSQL Architecture
Design Azure Cosmos DB and NoSQL architectures with correct partitioning, consistency, and throughput decisions to deliver predictable performance and cost.

