What is the difference between Power Apps, Power Automate, and Power BI — and when do I use each?
Power Apps is for building applications — canvas apps for pixel-precise mobile and web experiences, model-driven apps for Dataverse-native business applications. Power Automate is for workflows and robotic process automation — cloud flows for server-side workflows and integrations, desktop flows for attended and unattended RPA. Power BI is for analytics — semantic models, reports, dashboards, and the operational integration with Microsoft Fabric. The simplest decision frame is interface (Power Apps) versus orchestration (Power Automate) versus insight (Power BI). Most enterprise scenarios use all three — a Power App for data capture, a Power Automate flow for downstream orchestration, and a Power BI report for the operational view. The Power Platform thesis is that they are designed to compose, not to be picked individually.
When do I need Copilot Studio — and how does it differ from Microsoft 365 Copilot?
Microsoft 365 Copilot is the off-the-shelf productivity Copilot embedded in Word, Excel, PowerPoint, Outlook, Teams, and the broader M365 surface. It is licensed per user and grounded on the user's own data through the Microsoft Graph. Copilot Studio is the low-code authoring environment for building custom agents — your own Copilots — grounded on enterprise knowledge sources you choose, with conversational topics, actions, and a defined scope. You need Copilot Studio when an off-the-shelf experience does not cover the use case — an HR policy assistant grounded on your handbook, an IT triage agent grounded on your knowledge base, a sales playbook coach grounded on your win-loss library, or a field-service knowledge agent that can also kick off a Dataverse update. The right pattern in 2026 is M365 Copilot for individual productivity, Copilot Studio agents for scoped business processes, and both surfaced through the Microsoft 365 Copilot chat where it makes sense.
Is the Microsoft CoE Starter Kit enough on its own — or do we still need a consulting engagement?
The CoE Starter Kit is excellent — it is the foundation EPC Group installs in week one of every Power Platform Center of Excellence engagement. It is not enough on its own for an enterprise tenant for three reasons. First, the Starter Kit is an inventory and operations toolkit — it does not make the governance decisions for you. Decisions about environment topology, DLP policy stack, ALM standards, license-reclaim cadence, and Copilot Studio guardrails are decisions, not downloads. Second, the Starter Kit ships unopinionated; an enterprise needs an opinion. Third, operationalizing the Starter Kit — integrating it with your CMDB, your ServiceNow, your Purview, your audit-log pipeline, your DLP exception process — is consulting work, not configuration work. EPC Group brings the opinions, the integrations, and the operating model. Microsoft brings the kit.
How should we structure DLP policies for Power Platform connectors?
The recommended baseline is a three-tier stack. Tier one is a tenant-wide DLP policy that blocks connectors that should never be used anywhere in the enterprise — anonymous social, unsanctioned consumer storage, unapproved AI providers, custom connectors not yet through security review. Tier two is environment-scoped policies that classify approved connectors as Business or Non-Business per environment — production environments are strict, sandbox environments are permissive but isolated. Tier three is sensitivity-aware overlays that integrate with Microsoft Purview labels so that flows handling Highly Confidential data cannot use connectors below a defined trust threshold. Exceptions are managed through the CoE intake — a maker requests, the CoE reviews, and either grants a scoped exception or designs an alternative. Without this structure, DLP becomes either too loose to govern anything or too strict to ship anything.
When does Power Pages make sense versus a SharePoint site or a custom React build?
Power Pages wins when three things are true — your data already lives in Dataverse or you are about to put it there, you need authenticated external access with the security model that includes Azure AD B2C or Entra External ID, and you want to leverage the Power Platform skills your team already has. SharePoint sites are the right surface for internal collaboration and content publishing — they are not the right surface for external customer, partner, or citizen-facing portals. A custom React build is the right answer when the experience needs to be a marketing site at internet scale, when there is heavy non-Dataverse data integration, or when the design fidelity Power Pages can deliver is not enough. We have shipped patient-engagement portals, partner self-service portals, supplier portals, and citizen-services portals on Power Pages — and we have also told clients the right answer was Next.js on Vercel when the Power Pages fit was wrong. Pick on fit, not on platform allegiance.
What are the ALM and Power Platform Pipelines best practices for an enterprise?
The non-negotiables — every workload that reaches production is in a managed solution, no exceptions; source control on every solution component (Git, with the solution exported and unpacked on every commit); a dev-test-prod environment topology where production environments are deploy-only and no maker authoring happens there; Power Platform Pipelines or Azure DevOps Pipelines orchestrating promotion with approval gates at each stage; the Power Platform Solution Checker run on every pull request with critical findings blocking merge; rollback procedures documented and rehearsed before the first production deploy; and Copilot Studio agents under the same managed-solution discipline as Power Apps and Power Automate flows. Where teams typically fall down is the gap between dev and test — they have a dev environment, they deploy directly to production, they call that ALM. It is not. Test exists to validate that what worked in dev still works against production-shaped configuration before users see it.
What is the realistic return on a Power Platform license audit?
In a 10,000-employee enterprise with a mature Power Platform deployment — 100+ active makers, 500+ active apps, 2,000+ active flows — license waste typically runs $200,000 to $800,000 per year. The reclaim splits roughly evenly across per-app licenses assigned to people who no longer use the app, per-user licenses assigned to pilot makers who never built anything, Copilot Studio capacity allocated to agents that never went live, and Power Automate process licenses sitting against deactivated flows. The first audit usually finds the largest reclaim because nothing has been cleaned up. Subsequent quarterly audits find smaller reclaims but prevent the waste from accumulating again. The pattern is the same one EPC Group has seen across 70+ Fortune 500 engagements — the first audit funds the entire CoE program from reclaimed budget, and the steady-state quarterly audits keep the platform in net-positive ROI.
How do Power Platform and Microsoft Fabric integrate — and what does it mean for our analytics architecture?
Microsoft Fabric is the unified analytics platform — OneLake as the single multi-cloud storage tier, Lakehouses and Warehouses for structured analytics, Real-Time Intelligence for streaming, Data Factory for orchestration, and Power BI as the native consumption surface. Power Platform integrates with Fabric at multiple points. Dataverse data is replicated to OneLake through the Dataverse Link to Fabric feature, with no ETL required — Dataverse becomes a first-class analytical source. Power BI semantic models running in Direct Lake mode against OneLake deliver Power BI Premium performance without the import refresh cycle. Copilot Studio agents can be grounded on Fabric Lakehouse content for analytics-aware Q and A. And Power Automate flows can trigger Fabric pipelines and read from Fabric Warehouses for operational-analytical loops. The architectural shift this drives is that the analytics estate (Fabric) and the operational estate (Dataverse, Power Apps, Power Automate) are no longer separate worlds — they share a storage tier (OneLake) and a semantic layer (Power BI). EPC Group designs both sides of that integration through our Power BI, Fabric, and Power Platform CoE practices working together.