DIALOGE¶
DIALOGE: The seven core building blocks of a modern solution
TL;DR
Every solution is built from seven building blocks: Data, Integration, AI, Logic, Operations, Go-Live, and Experience. DIALOGE names them, defines maturity levels and safe zones for each, and maps them to Power Platform capabilities. It is technology-agnostic by design and enterprise-first by intent.
DIALOGE is how a solution comes to life — through data, integration, AI, logic, operations, go-live, and experience.
What DIALOGE Is¶
Every solution — regardless of platform, technology, or complexity — is built from the same seven fundamental components. A place where data lives. A way to connect to other systems. Intelligence embedded in the solution. Logic that drives outcomes. Operations that keep it healthy. A deployment discipline that makes it trustworthy. And an experience that users actually want to use.
DIALOGE names these seven components and gives builders — from citizen developers to enterprise solution architects — a shared language for designing, building, and operating solutions on Microsoft Power Platform.
It is technology-agnostic by design. Someone coming from SAP, Salesforce, AWS, or an on-premises architecture will recognise every pillar immediately. DIALOGE does not teach Power Platform concepts first — it starts with universal solution architecture and then maps each pillar to how Power Platform addresses it. This makes DIALOGE accessible to every builder, regardless of background.
It is enterprise-first by intent. Each pillar is written for solutions that serve real organisations at real scale — not prototypes, not personal productivity tools, but solutions that need to be governed, secured, maintained, and trusted over time.
Why This Framework Exists¶
Most platform documentation tells you what a capability does. DIALOGE tells you what decisions to make, why they matter, and what goes wrong when you get them wrong.
The seven pillars address the questions that builder documentation rarely answers directly:
- Where should this data live — and what happens when you choose wrong?
- When is a flow the right integration pattern and when is it a liability?
- What makes a solution AI-enabled rather than just having an AI feature added?
- Where should logic live — in the app, in a flow, in Dataverse, or in a Custom API?
- How do you know a solution is healthy after go-live?
- What does deployment discipline actually look like in practice?
- How do you build experiences that enterprise users trust and adopt?
DIALOGE answers these questions with a point of view — not neutral documentation, but opinionated guidance built from real enterprise implementations.
Who DIALOGE Is For¶
DIALOGE is the framework for the Builder Community on powerplatform.wiki — two distinct personas with different entry points and different depth requirements:
Solution Maker A business user or citizen developer building apps, flows, and automations to solve real problems. DIALOGE gives Solution Makers the vocabulary and principles to make sound decisions at each building block — without requiring deep technical expertise. Each pillar tells them what matters, what the key decisions are, and what to avoid.
Solution Engineer A professional developer or solution architect building complex, enterprise-grade solutions. DIALOGE gives Solution Engineers an architectural framework that aligns with how they already think about solutions — and deep technical guidance on how each pillar is implemented at enterprise scale on Power Platform.
DIALOGE and the Other Frameworks¶
DIALOGE does not exist alone. It is one of four complementary frameworks on powerplatform.wiki — each answering a different question for a different audience:
| Framework | Core Question | Primary Audience |
|---|---|---|
| DIALOGE | What are the building blocks of a solution? | Solution Maker · Solution Engineer |
| SCALE-OPS | How do we govern and operate the platform at scale? | Admin · CoE Lead · Platform Lead |
| SHIELD | How do we protect the solution and platform? | CISO · Security Org |
| BOLT | How do business and IT build together? | Business Leadership · CIO · CTO · CFO |
DIALOGE answers what to build and how to build it. SCALE-OPS answers how to run the platform it runs on. SHIELD answers how to keep it secure. BOLT answers how business and IT collaborate to deliver it.
A solution built well against DIALOGE, secured against SHIELD, deployed on a platform governed by SCALE-OPS, and delivered through a business-IT partnership defined by BOLT — that is what enterprise-grade Power Platform looks like.
The Seven Pillars¶
Each pillar is a complete guide — covering what it means, why it matters, key decisions, maturity levels, a safe zone, Power Platform implementation guidance, common mistakes, and a readiness checklist.
D — Data¶
Data is the foundation. Every other building block depends on it.
Every solution needs a place where information lives, a structure that organises it, and rules that govern who can access, modify, and move it. Data is not just storage — it is the contract between your solution and the real world.
The Data pillar covers where data belongs, how to structure it, how to classify it, and how to govern it. It includes a full deep-dive on Dataverse — the enterprise data foundation for Power Platform — covering tables, relationships, security roles, row-level and column-level security, auditing, and capacity management.
Key topics: Dataverse, tables and relationships, security roles, row-level security, column-level security, data classification, auditing, storage capacity, SharePoint vs Dataverse decision
I — Integration¶
Integration is how your solution talks to the world. Design it well and it scales. Design it poorly and it becomes your biggest liability.
Every enterprise solution connects to something. Integration defines how those connections are designed, secured, governed, and maintained — not just making two systems talk, but making them talk reliably, securely, and in a way that does not create fragility when systems change.
The Integration pillar covers the full Power Platform integration landscape — from standard connectors to Custom APIs, from the on-premises gateway to Private VNet, from Power Automate orchestration to Azure Service Bus, and from Dataverse Web API to enterprise ETL patterns.
Key topics: Standard and premium connectors, custom connectors, connection references, on-premises gateway, Private VNet, Power Automate patterns, error handling, Dataverse Web API (OData), Custom Actions and Custom APIs, virtual tables, Azure Service Bus and Event Grid, ETL — Power Query dataflows, Azure Data Factory, Azure Synapse Link
A — AI¶
AI is not an add-on. In modern enterprise solutions, it is a default building block — available at every layer of the stack, from the data model to the user interface.
AI changes what solutions can do — predicting outcomes, extracting information, generating responses, automating decisions. It also changes what governance requires. The AI pillar covers three dimensions: AI that helps builders build faster, AI that end users experience inside solutions, and the horizontal AI infrastructure that underpins both.
Key topics: - AI for Maker Productivity — describe to make, plan designer, GitHub Copilot and Claude, Power Platform CLI, MCP server, GenUX, Power Apps Code Apps - AI for End User Productivity — AI-assisted form filling, natural language query, record summarisation, Copilot Studio agents, intelligent apps - AI-Enabled Platform — AI prompts, AI columns in Dataverse, calling any model (Azure OpenAI, third-party), MCP as cross-cutting infrastructure, vector search, AI Builder custom models
L — Logic¶
Logic is the engine of a solution. It takes data, applies rules, makes decisions, and drives outcomes. Without logic, a solution is just a database with a screen in front of it.
Logic is where business requirements become executable behaviour — and where most technical debt accumulates. The Logic pillar starts with six principles of logic placement — the most important framework for enterprise solution design — then covers every logic mechanism available in Power Platform from declarative business rules to classic C# plugins.
Key topics: Logic placement principles, logic placement decision table, Dataverse business rules, calculated and rollup columns, low-code plugins, classic Dataverse plugins, Power Automate cloud flows, Power Automate desktop flows and RPA, process mining, Power Fx, Client SDK (JavaScript in model-driven apps), business process flows, third-party rule engines (North52, InRule), AI-augmented logic
O — Operations¶
A solution that works on launch day but has no operational model is not an enterprise solution. It is a countdown to an incident.
Operations is what happens after Go-Live. It is the discipline of keeping a solution healthy, reliable, and trusted over time — through monitoring, alerting, support, incident response, maintenance, and eventually retirement. The Operations pillar covers both the technical observability toolkit and the operational processes that use it.
Key topics: Application Insights, plugin trace log, system job logs, flow run history, Monitor tool, data audit, change audit, failure alerting, suspended flow monitoring, Message Center, Service Health dashboard, PPAC recommendations, design for reduced support, error handling patterns, configuration over code, L1–L4 support model, Microsoft support boundary, incident management, ongoing maintenance and deprecation management, solution health reviews, retirement process
G — Go-Live¶
Go-Live is not an event. It is a discipline. The difference between a solution that can be trusted in production and one that cannot is almost entirely determined by how it was deployed — and how every subsequent change was deployed after that.
Go-Live is the bridge between building and operating. It is the discipline of moving a solution safely, repeatably, and auditably from development through testing into production — and of keeping it there in a controlled state as it evolves. The Go-Live pillar covers the complete ALM discipline for Power Platform solutions.
Key topics: Solutions as the non-negotiable packaging unit, environment strategy, environment variables and connection references, Azure Key Vault for secrets, Power Platform Pipelines vs Azure DevOps — the decision guide, Solution Checker as automated gate, SHIELD Inspect gate, UAT principles, versioning strategy, Git integration — native source control from the maker experience, branch strategy, pull request reviews, rollback, hotfix process governance, managed vs unmanaged solutions — the production rule, release communication
E — Experience¶
Experience is the layer users actually see and touch. Everything else in DIALOGE exists to serve it.
Experience is how people interact with a solution — the interface, the interaction design, and the user journey. It is the primary determinant of adoption. The Experience pillar covers the complete interface landscape available to Power Platform builders, from canvas apps to custom mobile development, framed from the perspective of what builders and users expect.
Key topics: Interface type decision guide, canvas apps (WYSIWYG, WYSIWYIS, responsive design, offline), model-driven apps, Power Apps Code Apps, PCF controls, Power Pages, Teams integration, Copilot Studio embedded agents, Power BI embedded, GenUX, mobile — Power Apps mobile (iOS and Android) and custom mobile app (React Native, Flutter), custom UI hosted outside Power Platform, accessibility (WCAG 2.1 AA), internationalisation and localisation, performance and UX at scale, UX testing
DIALOGE Maturity Model¶
Each pillar has its own maturity levels — Basic, Intermediate, and Advanced. Across the framework, maturity follows a consistent pattern:
| Level | What it means |
|---|---|
| Basic | Minimum viable implementation. Sufficient for personal productivity and low-criticality solutions. |
| Intermediate | Deliberate design with defined ownership, error handling, and governance. Suitable for team and departmental enterprise solutions. |
| Advanced | Full enterprise discipline — every pillar implemented with production-grade rigor, governed, monitored, and maintained. Required for mission-critical solutions, regulated workloads, and solutions serving large user populations. |
Not every solution needs every pillar at Advanced maturity. The Safe Zone concept within each pillar defines the minimum maturity required for different solution types — preventing over-engineering for simple solutions while ensuring enterprise standards for solutions that demand them.
The DIALOGE Safe Zone Principle¶
Every pillar includes a Safe Zone — the set of conditions under which a lower maturity level is acceptable. Solutions operating within the safe zone of all seven pillars are appropriately governed for their risk profile. Solutions that exceed any safe zone boundary must elevate their maturity in that pillar before Go-Live.
The safe zone is not a shortcut — it is a deliberate risk-based calibration. A personal productivity canvas app and a mission-critical regulated enterprise solution should not be held to the same standard in every pillar. DIALOGE applies appropriate governance, not maximum governance.
How to Use DIALOGE¶
If you are starting a new solution: Work through the pillars in order — D, I, A, L, O, G, E. Each pillar's key decisions section tells you what to decide before you build. The readiness checklist at the end of each pillar tells you what must be true before you move to the next phase.
If you are reviewing an existing solution: Use the readiness checklists as an audit tool. Work through each pillar and identify which checklist items are not yet addressed. Prioritise by risk — solutions with gaps in Data security, SHIELD Inspect compliance, and Go-Live discipline carry the highest enterprise risk.
If you are a Solution Maker: Focus on the key decisions, safe zone, and common mistakes sections in each pillar. The deep-dive sections are there when you need them — but the principles and decisions sections give you what you need to build correctly without reading everything.
If you are a Solution Engineer: Read the full pillar content. The deep-dive sections — particularly Dataverse security model, Custom API design, low-code plugins, Git integration, and the logic placement principles — are where the architectural guidance lives.
Reference Files¶
| File | Contents |
|---|---|
| dialoge-D-data.md | Data pillar — full content including Dataverse deep-dive |
| dialoge-I-integration.md | Integration pillar — full content including ETL, VNet, Web API, Custom APIs |
| dialoge-A-ai.md | AI pillar — full content including AI for Makers, End Users, and Platform infrastructure |
| dialoge-L-logic.md | Logic pillar — full content including all logic mechanisms and third-party rule engines |
| dialoge-O-operations.md | Operations pillar — full content including observability, alerting, support model, and retirement |
| dialoge-G-golive.md | Go-Live pillar — full content including Git integration, pipeline decision guide, and hotfix governance |
| dialoge-E-experience.md | Experience pillar — full content including all interface types, accessibility, and mobile patterns |
Part of the powerplatform.wiki framework library Last updated: March 2026 Last reviewed: March 2026 Status: Complete — all seven pillars documented