Power Apps
Build canvas or model-driven business apps around users, records and tasks.
Bring apps, automation, portals, analytics and AI agents together around the way your business works. We use Power Platform to replace disconnected steps with a process your teams can manage and extend.
Power Platform is a family of products. A complete solution combines the components the process needs, with their own licensing and capacity.
Build canvas or model-driven business apps around users, records and tasks.
Coordinate event-driven workflows, approvals and selected desktop automation.
Provide externally accessible websites and portals with configured identity and Dataverse access.
Add reporting and analytics through separately configured models, reports and sharing permissions.
Build agents that use approved knowledge and tools to support a business process.
Use shared business data, roles, environments and lifecycle management to support the selected components.
Choose a useful role for AI, then define the information, access and review needed for that role.
Describe the business need and use Copilot to propose a plan and related solution components. Review the data model, roles and generated elements before delivery.
Use supported document processing or AI prompts in an app or flow. Validate extraction and route uncertain results to a person.
Use Copilot Studio with scoped tools and explicit action boundaries. Separate conversational assistance from approvals and deterministic transaction rules.
Combine the agreed product configuration with the systems and development that make the complete experience work.
Give customers a portal and staff an app that coordinate required documents, signatures, payment and activation.
Discuss One Onboarding Process for Signatures & PaymentsReplace paper checklists with a business app that captures the agreed inspection data and routes exceptions.
Discuss a Mobile Inspection App with Offline TasksExtract invoice details, check required fields and route a reviewed request for approval.
Discuss AI-Assisted Invoice & Approval ProcessingChoose an example to see the work, decision, handover and completion point.
Follow the work through the decision, handover and confirmed result.
Capture customer information with the appropriate identity and permissions.
Staff check the application and required documents in the business app.
Connect qualified signing and verified payment to the approved application.
Update the source business system and communicate completion.
Measures to Agree
Submissions containing the required information.
Time from complete application to decision.
Time from approval to confirmed activation.
Applications waiting for an owned correction.
Follow the work through the decision, handover and confirmed result.
Provide the inspector with the relevant site, asset and checklist.
Record structured responses and the agreed attachments.
Validate received records and surface sync or data exceptions.
Route corrective work and record its verified completion.
Measures to Agree
Submitted inspections meeting the evidence criteria.
Expected records received without unresolved sync errors.
Time from submission to reviewed findings.
Accepted findings with a completed action.
Follow the work through the decision, handover and confirmed result.
Capture the invoice with a stable submission reference.
Use AI for proposed fields and check required business rules.
Route uncertain fields and the approval to authorised people.
Send only the approved record and retain the processing result.
Measures to Agree
Reviewed fields matching the invoice source.
Time waiting for an authorised decision.
Documents requiring correction or review.
Approved records accepted by the finance system.
Use the application that owns each record and make the handover between systems explicit.
Agree the business outcome, prepare the foundation and validate the complete experience before expanding it.
Choose the first process, its owner, completion criteria and baseline measures.
Component selection, environment strategy, connector permissions, data ownership, licensing and support responsibility need to be defined.
Configure or develop the agreed experience, permissions and system handovers.
Check realistic data, permissions, exceptions and confirmed outcomes. Prepare the team for a controlled launch.
Review source-confirmed results, operational issues and adoption before extending the next use case.
The starting point depends on the process and the systems you already use.
It is a product family. Apps, automation, portals, analytics, agents, data capacity and premium connectors have distinct entitlements. We define the component mix and assess licensing against the actual usage model.
Start with a specific task and the evidence needed to evaluate it. We check current feature status, environment prerequisites, data quality, permissions and cost. Preview capabilities are assessed separately from the agreed production scope.
The examples describe configured or custom solutions. The feature cards explain the product or delivery foundation; each use case and process identifies the connections, development and related services it needs.
Component selection, environment strategy, connector permissions, data ownership, licensing and support responsibility need to be defined. We also agree ownership, acceptance criteria, operating responsibility and the first measurable outcome.
Explore the applications, data platforms, and development capabilities that can support your requirements.
Browse practical use cases for payments, subscriptions, portals, approvals, customer communications, and connected operations.
Tell us where customers or teams lose time, context or a clear next action. We’ll help identify a practical starting point for Microsoft Power Platform.