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Microsoft Dynamics 365 API Integration | Business Central & CRM

Connect your custom applications to Dynamics 365 Business Central and CRM through Web API, OData v4 and Power Platform. MG Software delivers seamless Dynamics integrations.

Microsoft Dynamics 365 API integration

What is Microsoft Dynamics 365?

Microsoft Dynamics 365 is a family of business applications that brings ERP and CRM capabilities together on the Microsoft cloud platform. Business Central covers the financial and operational domain: general ledger, purchasing, sales, inventory and project accounting. On the CRM side, Dynamics 365 Sales, Customer Service and Field Service provide modules for relationship management, service cases and field workforce scheduling.

Every Dynamics 365 application runs on the Dataverse platform (formerly Common Data Service), which offers a unified data model with tables, columns and relationships. The Web API that exposes Dataverse follows the OData v4 protocol and allows external systems to read, create, update and delete records via standard HTTP requests. Business Central also ships dedicated API pages designed specifically for integration scenarios.

What sets Dynamics apart from many other ERP platforms is its deep relationship with the broader Microsoft ecosystem. Azure Active Directory (Entra ID) handles authentication, Power Platform adds low-code extension capabilities, and Azure services like Logic Apps and Service Bus can serve as integration middleware. This creates opportunity but also complexity: the landscape of options is wide and the right choice depends on your specific situation.

MG Software helps organisations connect Dynamics 365 to bespoke software. Whether you need a customer portal that pushes orders into Business Central, a mobile app that creates service cases in Dynamics CRM, or a data pipeline that merges operational figures into Power BI, we design and build the integration layer that bridges both worlds.

Why integrate?

Dynamics 365 is rarely the only system inside an organisation. Companies pair it with proprietary portals, industry-specific tools, e-commerce platforms or workforce planning applications. When these systems do not talk to each other, information silos emerge. Sales staff see different customer records than finance, and service teams lack context about ongoing orders.

The consequences are tangible. Orders manually re-entered from a portal into Business Central consume time and introduce typos that surface only at invoice time. Service cases forwarded by email instead of being automated miss priority rules and escalation logic. Management reports built from exports out of multiple systems are already stale by the time they reach the boardroom.

Automated integration solves these problems structurally. Real-time or near-real-time synchronisation keeps all systems consistent. Business rules from Dynamics, such as credit limits, approval workflows and stock reservations, are enforced the moment an employee or customer triggers an action in your custom software.

Integration also opens the door to workflow automation that goes beyond simple data transfer. Think of automatically creating project tasks in Business Central when a quote is accepted in your CRM, or updating customer health scores based on payment behaviour. Combining Dynamics data with your own application logic enables smarter processes that would be impossible with manual handoffs.

Common use cases

  • Push customer orders from a custom portal into Business Central with built-in customer validation and credit checks
  • Automatically create service cases in Dynamics CRM from alerts generated by an IoT platform or monitoring system
  • Translate product configurations from a CPQ tool into quote lines inside Dynamics 365 Sales
  • Display real-time stock levels and delivery dates in a B2B storefront by querying Business Central API pages
  • Synchronise project hours and expenses from an internal time-tracking app into project management in Business Central
  • Expose invoice data from Business Central in a self-service client portal where buyers review their financial overview
  • Connect Dynamics 365 Field Service work orders to a mobile application used by technicians on site
  • Bidirectionally sync contacts and account records between Dynamics CRM and an external marketing automation platform
  • Blend operational KPIs from Dynamics with data from other sources in a centralised Power BI dashboard
  • Trigger approval workflows inside Dynamics from your own application so processes start without manual intervention

Technical approach

At the core of every Dynamics 365 integration is the Web API that exposes the Dataverse platform. This OData v4-based interface supports CRUD operations, filtering, sorting, pagination and batch requests. Business Central additionally offers dedicated API pages that present a simplified data model optimised for integration, decoupled from the internal table structure.

Authentication runs through Azure AD (Entra ID) using the OAuth 2.0 client credentials grant for server-to-server integrations, or the authorization code grant when a user context is required. We register an Application Registration in Azure, assign only the necessary API permissions, and store secrets or certificates securely in a vault.

For larger data volumes, we use OData batch operations that bundle multiple requests into a single HTTP call, reducing round trips and significantly improving throughput. Change tracking in Dataverse lets us fetch only records that have changed since the last sync, keeping the load on both systems low.

Power Platform components such as Power Automate and custom connectors can serve as an additional integration layer, particularly when your organisation already invests in the Power Platform ecosystem. We build custom connectors that make your bespoke software available as a data source within Power Automate, letting business users configure their own workflows without writing code.

Error handling is built for resilience. Transient failures are retried automatically with exponential backoff, while structural errors are logged, classified and surfaced through a dashboard. Optimistic concurrency control via ETags prevents concurrent updates from silently overwriting each other.

Implementation steps

  1. 1

    Environment analysis and integration design

    We inventory which Dynamics 365 modules are in use, what customizations and solutions exist, and how the data model looks. Based on this, we design the integration flows including data direction, frequency and error scenarios.

  2. 2

    Azure AD configuration and API access

    We register the required Application Registrations in Azure, set up the correct API permissions, and validate authentication end-to-end. For Business Central we configure API pages and verify that the necessary web services are published.

  3. 3

    Data model mapping and transformation logic

    For each integration scenario we map fields between your application and Dynamics, define transformation rules for differing data formats, and identify dependencies between entities that determine processing order.

  4. 4

    Iterative development per flow

    Each integration flow is built in its own sprint: mapping, validation, error handling and tests against the Dynamics sandbox. Every sprint delivers a working, tested flow that key users can validate.

  5. 5

    Integration testing and performance validation

    After all flows are built, we run end-to-end tests covering the complete chain, including error scenarios and volume tests. We verify that batch operations and change tracking function correctly under realistic load.

  6. 6

    Go-live and operational monitoring

    At go-live we activate monitoring on error rates, latency and data drift. We support the first weeks and then hand operations over to your team, including runbooks and escalation procedures.

Security and compliance

Security in the Dynamics world revolves around Azure Active Directory. Every integration application is registered as an Application Registration with only the API scopes it needs. We avoid broad permissions and follow the principle of least privilege. Secrets are stored in Azure Key Vault or an equivalent solution and rotated on a regular schedule.

Within Dataverse, row-level security makes it possible to restrict the integration to specific records. When the connector should only read customer orders from a particular business unit, we configure security roles that cover exactly that scope, preventing the integration account from inadvertently accessing data belonging to other departments.

For sensitive scenarios we implement additional measures such as IP whitelisting, conditional access policies in Azure AD, and encryption of data in transit and at rest. Audit logs in both Dataverse and Azure record every API call, providing the evidence base for compliance audits.

Common challenges

A frequent challenge in Dynamics integrations is the customization layer that organisations accumulate over time. Field validations, workflows and plug-ins all fire during API calls, and an integration that works on a vanilla Dynamics instance can fail in a heavily customized environment. We always test against the customer-specific sandbox rather than a generic environment to catch these issues early.

Solution management is another area that requires careful handling. Dynamics environments are governed through solutions that bundle configuration and customizations. Transporting changes across development, test and production needs coordination, especially when the integration introduces its own solution components.

API version compatibility is a third concern. Microsoft regularly releases new API versions and deprecates older ones. We build version-aware clients that include fallback logic when a specific API version is no longer available, and we monitor the Microsoft roadmap to migrate proactively before breaking changes take effect.

Maintenance and monitoring

Microsoft applies monthly updates to Dynamics 365 and the Dataverse platform. These updates can introduce new fields, changed behaviour or deprecated APIs. We recommend including regression tests for the integration in your regular update cycle and offer support in analysing release notes.

Operational monitoring covers alerting on HTTP error rates, response times and queue depth. When anomalies are detected, we investigate proactively. Periodically we evaluate the integration to determine whether new Dynamics features present opportunities for optimisation or extension.

Investment and timeline

The cost of a Dynamics 365 integration depends on the complexity of the environment, the number of entities to connect, and the level of customization inside Dynamics. A first integration flow, for example orders from a portal into Business Central, typically requires several weeks of development time.

We work in sprints with clear deliverables per iteration, giving you the ability to evaluate and steer after each one. Investment grows with scope, without requiring a large upfront commitment for the entire programme.

After the initial analysis we deliver a scope document with effort estimates so you know what to expect before development starts. Any required Azure licences or Dynamics API limit extensions are discussed transparently as part of the total investment picture.

Further reading

API connectionsExact Online API Integration Services | MG Software B.V.Custom Salesforce API Integration | MG Software B.V.API Integration Examples - Practical Integrations for BusinessesPayment Integration Examples - Inspiration & Best Practices

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Frequently asked questions

Yes. Both products run on the Dataverse platform and are accessed through the Web API. The data models differ, but authentication and communication patterns are comparable. We design the appropriate approach per scenario and reuse the security layer where possible.
We inventory customizations during the analysis phase and always test the integration against your specific sandbox. Customizations can include plug-ins, workflows and field validations that influence API behaviour. Testing early prevents go-live surprises.
Change tracking is a Dataverse feature that records which records have changed since a given point in time. This enables delta synchronisation: instead of pulling all data again, we process only the changes. It saves bandwidth and reduces the load on both systems considerably.
Certainly. We build custom connectors that expose your application as a data source in Power Automate. Business users can then configure supplementary workflows without code, while heavier integration flows run through the custom-built connector.
That depends on the version and available network infrastructure. On-premises Dynamics 365 typically requires a gateway or VPN connection. We assess the options per environment and advise on the best approach.
A first flow usually goes live in a few weeks, including analysis and testing. More extensive projects with multiple entities and bidirectional sync take longer. We deliver working flows per sprint so you see results quickly and can adjust direction along the way.
We implement validation rules in the integration layer that check data before it is written to Dynamics. Duplicate detection, required-field checks and format validation prevent invalid records from entering the system. Error records are logged separately so they can be repaired manually or automatically.

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Related articles

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Connect your custom software to Exact Online for automated syncing of orders, invoices, stock and ledger data. MG Software builds reliable, production-grade integrations.

Custom Salesforce API Integration | MG Software B.V.

Connect Salesforce to your portal, data warehouse or backend. MG Software builds tailored integrations using REST, Bulk and Streaming APIs for leads, opportunities and custom objects.

Custom Shopify API Integration | MG Software B.V.

Connect Shopify to your ERP, WMS or back office. MG Software builds tailored integrations using the Admin GraphQL API and webhooks for orders, inventory and fulfillment.

REST vs GraphQL: Which API Architecture Should You Choose?

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From our blog

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Sidney · 11 min read

MG Software
MG Software
MG Software.

MG Software builds custom software, websites and AI solutions that help businesses grow.

© 2026 MG Software B.V. All rights reserved.

NavigationServicesPortfolioAbout UsContactBlogCalculatorCareersTech stackFAQ
ServicesCustom developmentSoftware integrationsSoftware redevelopmentApp developmentIntegrationsSEO & discoverability
Knowledge BaseKnowledge BaseComparisonsExamplesAlternativesTemplatesToolsSolutionsAPI integrations
LocationsHaarlemAmsterdamThe HagueEindhovenBredaAmersfoortAll locations
IndustriesLegalHealthcareE-commerceLogisticsFinanceAll industries
PopularBest code editorsFrontend frameworksVite alternativesWordPress alternativesOpenAI vs Anthropic APIRust vs Node.jsAWS vs Google CloudWhat is technical debt?