Power Apps for ERP Extensions

What Power Apps actually does for an ERP

A Dynamics 365 ERP — whether Finance, Supply Chain Management, or Business Central — is strong as a system of record but rigid when a process does not match its built-in screens. A warehouse worker who needs to check stock and capture a signature in one tap, a field technician who needs a guided inspection form, or a customer service rep who needs a slice of order history without a full ERP license: none of these fit the standard client comfortably. Power Apps exists to fill exactly that gap. It is Microsoft's low-code application builder, and its job is to let you compose new front-ends, mobile tools, and self-service surfaces over the data your ERP already owns.

The critical mental model is that Power Apps is an extension surface, not a replacement for the ERP. Microsoft frames the Dynamics 365 customization ladder as a 'no-cliffs' approach with four levels — app configuration, low-code and no-code customizations, code-based extensions, and extending into Azure PaaS — and Power Apps sits squarely in the low-code customization tier. You are adding capability around the edges of a system you keep standard, not rewriting the transactional core. That positioning is what makes Power Apps safe to use at all: the ERP stays on the supported upgrade path while the bespoke experience lives outside it. Partners who try to rebuild full CRM or ERP logic in Power Apps alone end up with fragmented data, duplicated business rules, and higher long-term complexity — Power Platform should not replace Dynamics 365 as the system of record.

In practice that means a Power App reads ERP data through connectors or Dataverse, presents a focused task to a user, and writes the result back through the same governed surface. The ERP remains the source of truth for ledgers, inventory, orders, and master data; the app is a controlled lens onto that data. For finance and operations apps, Microsoft made that shared layer non-optional: beginning May 1, 2025, every F&O environment must have Power Platform Integration enabled (auto-enabled if you delay), which unlocks virtual entities, dual-write, business events, add-ins, and Copilot features that depend on Dataverse. When teams get the separation right, they ship useful tools in weeks that would take months as traditional ERP customizations. When they get it wrong — by shadow-replicating ERP logic inside the app or bolting screens directly onto core tables — they rebuild the same customization debt they were trying to avoid, just in a different technology.

• →Power Apps is a low-code builder for tailored front-ends, mobile tools, and self-service surfaces over ERP data
• →It occupies the low-code rung of Microsoft's four-level 'no-cliffs' extension model — configuration, low-code, code, PaaS
• →The ERP stays the system of record; the app is a controlled lens that reads and writes through governed connectors
• →F&O environments require Power Platform Integration (mandatory since May 1, 2025) for virtual entities, dual-write, and AI features
• →Used well it ships tools in weeks; used poorly it just relocates customization debt from ERP code to Power Platform

The four levels of ERP extension, and where Power Apps fits

Microsoft's implementation guidance for Dynamics 365 lays out a deliberate hierarchy of how far you should push a change before you reach for the next, more invasive tool. The rule is to always start at the least disruptive level and move up only when the previous one cannot meet the requirement. This ordering is the single most effective guardrail against customization debt, because each level inherits more of the platform's own maintenance, security, and upgrade behaviour than the one above it.

Level one is app configuration — settings, themes, personalization, and feature toggles. It requires no developer, breaks nothing, and is the safest way to tailor the system. Level two is low-code and no-code customization through WYSIWYG designers and expression-based tools: this is where Power Apps, Power Automate, business rules, and the modern app designers live. Microsoft's own guidance states that low-code customizations let you leverage platform-provided best practices and patterns without worrying about low-level details, and that the platform handles and optimizes the logic for you.

Level three is extend with code — .NET plugins, AL extensions for Business Central, JavaScript, and the documented SDK extensibility patterns. The explicit warning in the official guidance is to use only documented extension patterns and never unsupported techniques that break service level agreements. Level four is extending into Azure PaaS — Logic Apps, Azure Functions, IoT integrations — to move heavy processing outside the ERP entirely. Power Apps most often appears at level two, but it frequently calls out to level three logic and level four services. Knowing which level a requirement truly needs, before building anything, is what separates a clean extension estate from an expensive one.

Canvas vs model-driven: choose on the data, not the pixels

Power Apps ships two production app types, and the choice between them is the single decision that most often gets made backwards. Teams look at how they want the screen to look, then pick the app type that gives them that look. The correct sequence is the opposite: look at the data model the app sits on and the governance you need to inherit, and let the interface follow. Choosing on appearance is the most common way teams end up rebuilding the app later.

A model-driven app is built on Dataverse. You do not design most of the screens; the platform generates a consistent interface from the data model and its relationships, and you inherit Dataverse's security model, row-level permissions, auditing, and governance as part of the deal. You give up pixel-level control of the UI, and in exchange you get consistency, scale, and compliance you did not have to build. That trade is exactly right when the app is fundamentally about structured records and a repeatable process — case management, approval tracking, a regulated process of record — because the auditing and security come standard rather than being something you bolt on and hope is complete.

A canvas app gives you the opposite trade. You control the interface in detail, you can pull from many different data sources (not just Dataverse), and you design the experience screen by screen. This is the right choice when the value of the app is the experience itself: a task-focused mobile tool, a guided form, a warehouse or field inspection app where the workflow on screen is the point and the underlying data is simpler or comes from several systems. The cost is that consistency, security, and governance are now your responsibility to design, not something the platform hands you for free. In the 2026 release wave 1, canvas offline resilience improves further — real-time Dataverse access in online mode, advanced offline profiles with FetchXML, and push notifications for branded mobile builds — which strengthens canvas for shop-floor and field ERP scenarios that cannot rely on continuous connectivity.

Concrete ERP mapping helps more than abstract preference. Canvas fits warehouse pick-and-pack with barcode scan and signature capture against Business Central APIs; model-driven fits CAPEX request tracking, supplier onboarding cases, or credit-limit change workflows where row-level security and audit history matter more than layout. Model-driven also pairs cleanly when BC or F&O data already surfaces in Dataverse via virtual tables or dual-write, because the generated UI and security model sit on the same tables. The two are not mutually exclusive, and the strongest ERP extension patterns combine them: a model-driven core that owns the structured Dataverse records and process, with targeted canvas surfaces layered on top for the specific role or device where a tailored experience matters. If a requirement is genuinely both data-heavy and experience-focused, that composite — rather than forcing the whole thing into one mode — is usually the right architecture.

• →Choose on the data model and governance needs, not on how the app should look — appearance is the last decision
• →Model-driven apps sit on Dataverse and inherit security, auditing, and governance; ideal for structured records and regulated process
• →Canvas apps give pixel-level control over varied data sources; ideal when the tailored task experience is the value (warehouse, field, multi-source)
• →2026 wave 1 strengthens canvas offline/mobile for shop-floor ERP; model-driven gets modern UI default and deeper Copilot context
• →For apps that are genuinely both, combine a model-driven core with targeted canvas surfaces instead of forcing one mode

A working decision table for the two app types

The conceptual distinction matters, but most teams need a concrete way to map a real requirement to an app type. The table below captures the practical differences that drive the decision in an ERP context — the data sources each app type handles well, the control you get, the governance you inherit, and the typical ERP scenarios each fits. Read it as a starting point, then pressure-test the choice against your specific security and compliance obligations.

Two patterns recur often enough to call out. First, a canvas app that quietly grows into a record-keeping system almost always ends up reinventing the security, auditing, and consistency that a model-driven app provides natively — usually badly, and usually late, once auditors ask how access is controlled. Second, a model-driven app forced into a bespoke, pixel-controlled experience fights the platform's generated UI the entire way and burns time working around the very generation it was meant to provide. Neither failure is about the tools being wrong; both are about the match between tool and requirement being wrong.

How to extend the ERP without creating customization debt

Customization debt is the compounding cost that accumulates when an ERP is modified in ways that make future upgrades painful, slow, or impossible. The honest framing from practitioners is that the problem is not tailoring itself — every business needs some — but the method: invasive core code modification versus non-invasive configuration and extension. Power Apps, used correctly, is one of the strongest non-invasive extension methods available, precisely because it lives outside the ERP's transactional core. The discipline is to keep it there.

Four principles keep a Power Apps estate clean. First, extend, never modify: the ERP core stays on standard code, and every bespoke behaviour lives in an app, a flow, or a Dataverse table that can be removed without touching the standard system. Second, the ERP stays the source of truth — never let an app become a parallel ledger or a second inventory record; if the app holds data, it must write back to the ERP through a governed connector or be clearly marked as ephemeral. Third, isolate and label: every app belongs to a managed solution with a clear owner, environment, and lifecycle, so an abandoned prototype can be found and retired before it becomes load-bearing.

Fourth, and the one most often skipped, is to exhaust configuration before building. Microsoft's own implementation guidance is explicit that app settings and standard configuration are the safest and least disruptive way to customize and should always be tried first. A surprising number of 'we need a Power App for this' requests are actually a missing personalization, a business rule, or a standard view that already exists. Building an app to solve a configuration problem does not solve the problem; it duplicates the system and creates two things to maintain. The same logic applies to whether you reach for the broader customization-versus-configuration question before committing to any code at all.

The payoff of these principles shows up at upgrade time. A standard ERP core with clean, isolated extensions upgrades on schedule with predictable effort; a core riddled with custom code and shadow apps does not. Teams that treat Power Apps as a controlled extension layer — rather than a free-for-all build environment — keep that option open.

• →Extend, never modify — bespoke behaviour lives in apps/flows/tables, the ERP core stays standard
• →The ERP is the source of truth; apps read and write back through governed connectors, never shadow-replicate ledgers
• →Isolate and label every app in a managed solution with an owner, environment, and retirement plan
• →Exhaust configuration first — many 'app' requests are a missing personalization or business rule

Getting ERP data into Power Apps: Dataverse, virtual tables, connectors

An app is only as trustworthy as the data behind it, and getting Dynamics 365 ERP data into a Power App is a choice between three architectures with very different cost and governance profiles. The first is direct connectors: the Dynamics 365 Business Central connector, the Fin & Ops Apps connector, and SQL or OData connectors read the ERP at runtime. This is fast to build and keeps data in one place, but every read is a live call, performance depends on the source, and the connector tier (standard versus premium) directly drives licensing cost.

The second architecture is Dataverse as the home for the app's own data, synchronized from the ERP. This is the cleanest pattern for model-driven apps because they require Dataverse anyway. For Business Central specifically, Microsoft provides native synchronization and a Business Central virtual table for Microsoft Dataverse that exposes BC entities as read-only Dataverse tables without duplicating the data physically. A virtual table is a definition in Dataverse whose rows are retrieved from the external source at runtime, so the ERP remains the system of record while the app gets the governance and typed schema of Dataverse. The trade-off is that virtual tables are read-mostly, subject to the source system's throttling, and need careful design for any write-back path.

The third architecture is a hybrid: Dataverse tables for app-native data (drafts, approvals, attachments, app settings) plus virtual tables or connectors for the ERP data the app needs to display or reference. This is the most common real-world shape for a serious ERP extension, because it lets the app own its own working state while still deferring to the ERP for anything transactional. Whichever path you choose, the governing question is the same one that runs through this whole topic: where is the source of truth, and does the app respect it? Our deeper Dataverse guide covers the storage model, capacity, and security design that underpins all three of these patterns.

F&O Power Platform Integration: virtual entities, dual-write, events

For Dynamics 365 Finance and Supply Chain, Power Apps is no longer an optional side channel. Microsoft requires Power Platform Integration on every finance and operations environment as of May 1, 2025. Environments not linked by that date are auto-linked to a new or existing Power Platform environment (including ones already using dual-write or virtual entities). That integration is what unlocks the shared data layer makers actually build on — and what lights up AI features that depend on Copilot Studio, AI Builder, and Dataverse services.

Four complementary pieces make up that shared layer. Virtual entities (virtual tables) expose finance and operations data in Dataverse without copying rows: Power Apps and model-driven forms query F&O at runtime through the virtual-entity infrastructure, so the ERP remains the physical system of record. Dual-write is different — near-real-time synchronous copy for a smaller set of overlapping entities that both F&O and Dataverse-native apps already treat as local (Account/Customer, Company, Product, Sales order and peers). You use dual-write when both sides need bound local logic; you use virtual entities when you want breadth of F&O data without replication. Prefer less copy, not more.

Business events and data events close the loop for automation. Business events fire when F&O runs process logic; data events fire on create/update/delete of records. Power Automate or Azure handlers can react, then query virtual entities or dual-written tables and present a focused Power App step — for example a credit-limit approval surface that writes back through dual-write to Sales and F&O, or a customer address change entered in Customer Service that must land in Finance in near real time. Microsoft's own dual-write scenario library (address change, credit-limit increase without logging into F&O) is still the cleanest mental model for when near-real-time copy is justified versus a pure virtual-entity read.

Business Central follows a related but not identical path: virtual tables for Dataverse expose BC entities as read-only Dataverse tables without physical duplication, and the BC connector supports canvas apps that never touch Dataverse at all. Do not assume F&O dual-write patterns apply unchanged to BC — match the product's documented integration surface, then choose canvas, model-driven, or hybrid from the data and governance table above.

• →Power Platform Integration is mandatory for F&O environments (May 1, 2025+) — plan Dataverse capacity and governance as part of ERP ops
• →Virtual entities = no copy; dual-write = selective near-real-time copy for overlapping CE/F&O entities
• →Business and data events drive Power Automate + Power Apps reactions without polling the ERP
• →Business Central uses virtual tables and connectors — do not paste F&O dual-write designs onto BC unchanged

Real-world ERP extension patterns that earn their keep

The clearest way to understand where Power Apps pays off is to look at the patterns that recur across Dynamics 365 ERP customers. Documented implementations cluster around a handful of high-value scenarios, and they share a common shape: a specific role needs a focused slice of ERP functionality delivered in a way the standard client does not provide well — usually mobile, usually simplified, often for users who should not carry a full ERP license.

Mobile task apps are the most common. A warehouse order-entry app gives workers real-time inventory visibility, lets them create orders and capture electronic signatures on a device, and pushes completed orders straight into the ERP for invoicing — eliminating duplicate data entry and the wait it creates. A field inspection or time-and-attendance app lets employees pull calendar events into a friendly time-entry screen and submit time-off requests that route to managers for approval, with the result written back to Finance and Operations. In both cases the value is the tailored mobile experience; the ERP just supplies and receives the data.

Approval and workflow augmentation is the second cluster. The native workflow engines in finance and operations apps and in Business Central can be clunky and hard to customize, with limited visibility into approval status. Pairing a Power App for the approval surface with Power Automate for the routing lets you define each step exactly, send notifications through Teams or Outlook where people actually work, and write the outcome back to the ERP. The third cluster is self-service: a Power Pages portal gives customers or partners secure access to their own invoices, order history, and account statements, with role-based security controlling what each persona sees, while Power Apps views support internal sales and service teams with the same real-time data.

The fourth pattern — and the one with the clearest licensing payoff — is surfacing a subset of ERP data for users who do not need a full seat. A tech-support Power App that shows order history and product details inside the CRM interface, with simple order-entry and payment capture, lets reps resolve calls faster and avoids buying full ERP licenses just to view order data. Across all four patterns the lesson is identical: build the narrow, high-friction slice, keep the ERP as the source of truth, and let the app remove the friction the standard client could not.

A fifth pattern is growing in 2026: agent-assisted extensions. Copilot Studio agents and Power Apps generative pages sit adjacent to classic canvas and model-driven builds — classifying documents, summarizing a work order, or drafting an approval note before a human commits the ERP write. Treat agents like any other extension surface: they read governed Dataverse or virtual-entity data, they do not invent a second ledger, and they ship inside managed solutions with DLP and named owners. Practitioner consensus on X and in partner builds is consistent with Microsoft's slogan history — Power Apps, Automate, Pages, Dataverse, and Copilot Studio are stronger together than as isolated tools.

• →Mobile task apps — warehouse order entry with signatures, field inspection, time and attendance
• →Approval and workflow augmentation — Power App surface + Power Automate routing beats clunky native engines
• →Self-service portals — Power Pages for customer invoice/order access with role-based security
• →License-saving data views — surface ERP slices for users who should not carry a full ERP seat
• →Agent-assisted extensions — Copilot Studio + generative pages for classify/summarize/draft before ERP commit

Licensing in 2026 and the hidden cost of Dataverse

Power Apps licensing changed materially in early 2026 and the change catches many ERP teams off guard. The per app plan — long the low-cost entry point at roughly five dollars per user per app per month — was removed from sale to new customers effective January 2, 2026 for most commercial channels. Existing Enterprise Agreement customers already on the SKU see no disruption and can continue and renew under current agreements; channel rules for CSP and MPSA have been clarified separately by Microsoft and licensing specialists, so confirm your agreement type before assuming the plan is gone or still buyable. For most new enterprise builds in 2026 the realistic production paths are the Power Apps Premium plan at twenty dollars per user per month (paid yearly) for unlimited apps and full premium-connector and Dataverse access, or a pay-as-you-go meter billed through Azure per active user per app for variable or seasonal demand. Microsoft also offers a Premium tier at twelve dollars per user per month for organizations committing to a 2,000-seat minimum. Premium includes pooled Dataverse entitlements (commonly cited as 250 MB database and 2 GB file per Premium user on Microsoft's pricing page — capacity pools at tenant level).

The trap is not the headline price; it is the triggers. Seeded rights inside Microsoft 365 and Dynamics 365 let users run Power Apps that use standard connectors only, and only to extend the app they are already licensed for. The moment an app touches a premium connector (SQL Server, most external systems, custom connectors), a custom Dataverse table, or runs as a standalone app outside the Microsoft 365 context, every user on it needs a paid plan. The trigger is the connector and the data source, not the number of users — so a single premium connector quietly reclassifies an entire user population. Makers feel this when a prototype on SharePoint lists (often coverable by M365 rights) grows into custom Dataverse tables and suddenly needs Premium for every end user.

The second hidden cost is Dataverse capacity. Storage splits into database, file, and log capacity, each metered separately, and overage beyond the pooled entitlement bills monthly — capacity add-ons are sold per GB at tenant level (historically marketed around forty dollars per gigabyte per month for database capacity add-ons; always verify current list price in your region and channel). Large file columns, attachment bloat, and audit logs are the usual culprits once F&O Power Platform Integration and dual-write are enabled, because more environments now hold Dataverse metadata and business data. Public right-sizing stories matter here: large estates regularly discover thousands of unused Power Apps seats after inventory — governance that retires zero-usage apps and maps connectors before purchase cuts more spend than discounting ever will. Map every app to its connectors and data sources first, assign seeded rights where the app stays standard, and reserve Premium for true multi-app makers; licensing specialists still report that roughly a third of Premium seats in audits run a single standard-connector app that belonged on cheaper rights.

Governance, ALM, and the maker-sprawl problem

Power Apps is explicitly built to let non-developers — 'makers' — build tools quickly, and that democratization is its greatest strength and its greatest risk. Without governance, maker activity produces sprawl: dozens of untracked apps, duplicated Dataverse tables, premium connectors attached without anyone noticing, and shadow systems that quietly become load-bearing. The top reason Power Apps spend runs ahead of value, according to licensing practitioners, is unmanaged maker sprawl rather than any single expensive decision. Adoption surveys from 2025–2026 continue to show ungoverned estates with application sprawl, security violations, and compliance issues at several times the rate of organizations with a Center of Excellence and Managed Environments.

The antidote is managed environments and application lifecycle management (ALM) built on solutions. A solution packages an app, its flows, its tables, and its connections into a unit that can be moved between development, test, and production environments as a managed deployment — the same ALM discipline Microsoft recommends for the broader Power Platform. Managed environments add the controls that make ALM enforceable: data loss prevention (DLP) policies that classify connectors as business, non-business, or blocked so a maker cannot quietly attach an unapproved data source; inventory and usage insights so abandoned apps are visible; sharing limits; solution checker enforcement; and policies that govern who can create what. As of February 23, 2026, Microsoft ensures pipeline target environments used by Power Platform Deployment Pipelines are Managed Environments (auto-enabled if not already) — so production promotion paths that still land in unmanaged targets need a deliberate migration plan, not a surprise at deploy time.

Three practices separate a governed estate from a chaotic one. First, classify connectors up front and enforce the classification with DLP — it is far cheaper to prevent a premium connector than to unwind the licensing later. Second, require every production app to live in a managed solution with a named owner and a promotion path from dev to test to prod (native Pipelines, ALM Accelerator on Azure DevOps, or a documented manual export path); prototypes and personal apps belong in a separate, clearly-labelled development environment, not the Default environment that accumulates SharePoint-form debt. Third, run periodic inventory reviews: apps with no active users in ninety days are retirement candidates, and a high Dataverse bill with low app usage is a signal of orphaned tables rather than real activity. The Success by Design methodology formalizes environment and ALM expectations for Dynamics 365 specifically, and is the reference framework teams should align to before scaling a Power Apps estate around ERP. Governance is not the enemy of speed here — it is what allows speed to scale without the platform collapsing under its own sprawl.

• →Maker sprawl — untracked apps, duplicated tables, premium connectors — is the top reason Power Apps spend outruns value
• →Solutions package apps, flows, and tables for managed dev→test→prod deployment (Power Platform ALM)
• →Managed Environments add DLP, inventory insights, sharing limits, and solution checker — pipeline targets required managed as of Feb 23, 2026
• →Classify connectors, name an owner per app, keep prototypes out of Default, and retire zero-usage apps quarterly

Copilot Studio, agents, and what 2026 wave 1 changes for ERP apps

Power Apps for ERP in 2026 is no longer only screens and forms. Microsoft's 2026 release wave 1 (features planned April–September 2026) modernizes model-driven UI by default, improves canvas mobile and offline (including real-time Dataverse access patterns and richer offline profiles), expands generative pages, and deepens Copilot for both makers and end users inside apps. For ERP extension teams that means mobile warehouse and inspection apps get a more resilient offline story, while process-of-record model-driven apps gain faster search, modern theming, and in-app Copilot context that can summarize rows and guide navigation without a custom chat build.

Copilot Studio sits next to Power Apps rather than inside every canvas screen by default. Agents orchestrate prompts, tools, and Dataverse or connector actions — useful for document classification before an invoice-related case is created, for drafting approval notes, or for answering 'where is my order' style questions against governed data. Finance and operations AI features themselves increasingly depend on Power Platform Integration being enabled so Copilot Studio, AI Builder, and Dataverse services are available to the environment. That is another reason the May 2025 integration mandate matters beyond makers: it is the plumbing for Microsoft's own ERP AI roadmap.

Design rules stay the same as classic extensions. Agents and generative pages must not become a second system of record; they should read the same dual-write, virtual-entity, or BC virtual-table surfaces your apps use, write through the same governed paths, and live in managed solutions with DLP that blocks unapproved connectors. Agentic features in model-driven apps and Microsoft 365 Copilot chat in-app (generally available for model-driven; preview paths for canvas per Microsoft's pricing footnotes) change how users interact with data — they do not relax the need for transactional integrity on postings, reservations, and ledger updates inside the ERP. Use AI to remove friction around the edges; keep money movement in F&O, BC, or documented code extensions.

• →2026 wave 1: modern model-driven UI default, stronger canvas offline/mobile, generative pages, deeper in-app Copilot
• →Copilot Studio agents extend ERP workflows for classify/summarize/draft — not for owning ledgers or postings
• →F&O AI features require Power Platform Integration; treat Dataverse capacity and DLP as ERP operational concerns
• →Ship agents and generative apps in managed solutions with the same source-of-truth rules as canvas and model-driven apps

When Power Apps is the wrong tool for an ERP extension

Knowing when not to reach for Power Apps is as important as knowing when to. The first wrong fit is bulk, transactional, high-volume data work. Power Apps and its connectors are not designed for data migration, large batch writes, or anything requiring transactional integrity across many rows — those belong in data management jobs, dual-write, or integration middleware. Building a Power App to do what an integration should do produces a fragile, slow, and expensive replacement for the right tool.

The second wrong fit is synchronous, deeply transactional ERP logic. Power Apps runs over connectors that are fundamentally asynchronous and subject to throttling; it cannot deliver the sub-second, atomic behaviour that order posting, inventory reservation, or ledger updates demand. That logic belongs in the ERP's native business rules, plugins, or AL extensions — in Microsoft's framework, the code-extension level — where it runs inside the transaction boundary. A Power App can trigger or display the result, but it should not own the logic.

The third wrong fit is using Power Apps as a license-avoidance shortcut that creates a parallel system. If an app shadows the ERP's own records — a second inventory count, a separate customer list, a side ledger — it has stopped being an extension and become a competing system of record, with all the reconciliation pain that implies. The line is clear: a Power App should make the ERP's data more usable, never replace it. Trying to stand up a full multi-module ERP (finance, inventory, multi-entity manufacturing) as a pure Power Apps + Dataverse stack is the extreme form of this mistake: you re-implement postings, inventory reservation, and audit-grade controls the ERP already owns, then own the maintenance forever. When a requirement genuinely needs a separate data store with its own lifecycle, that is a different product decision, not a Power Apps one — and it should be made deliberately, with the ERP-vs-extensions boundary honored throughout. For the specific patterns of extending Business Central, the dedicated Business Central extensions guide covers where AL extensions, apps, and Power Platform each fit.

• →Avoid Power Apps for bulk data migration, batch writes, or anything needing transactional integrity — use data management or integration middleware
• →Synchronous, atomic ERP logic (posting, reservation, ledger updates) belongs in native rules or code extensions, not connector calls
• →Never let an app become a parallel system of record — a second inventory or ledger is a competing system, not an extension
• →Do not rebuild a full multi-module ERP in Power Apps; extend Dynamics 365 or BC, do not replace them
• →If a separate data store is genuinely needed, make that decision deliberately, not accidentally inside a Power App

Frequently asked questions