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Microsoft Dynamics 365 Project Operations Integration Guide

Integrate project planning, delivery, time, expense, contract, and financial data through the Microsoft Dataverse Web API, OAuth 2.0, and selected webhook events.

Microsoft Dynamics 365 Project Operations integration options at a glance

Microsoft Dynamics 365 Project Operations is built on Microsoft Dataverse, so new integrations generally use the Dataverse Web API, an OData v4 REST API. Martini can authenticate with Microsoft Entra ID OAuth 2.0, query and update Projects, Project Tasks, Contracts, Time Entries, Expenses, and related tables, and expose controlled REST endpoints for downstream applications. Dataverse supports selected webhook registrations, batch requests, asynchronous processing, file columns, and attachment-related data. Scheduled workflows, pagination, change tracking, and reconciliation can complement selective webhook coverage. Direct operational SQL access is not the normal integration method; analytics can use supported Dataverse export patterns where appropriate.

Integration pointSupported by Microsoft Dynamics 365 Project Operations?Common use casesHow Martini supports it
Dataverse Web API REST/ODataYesQuery, create, update, delete, associate, and disassociate Projects, Project Tasks, Contracts, Time Entries, Expenses, and related Dataverse rows. OData filtering, field selection, expansion, ordering, pagination, alternate keys, functions, and actions support transactional integration.Martini can consume the Dataverse Web API from workflows, map OData responses, invoke operations, apply business rules, and expose REST APIs for controlled access.
Webhooks and outbound callbacksLimitedDataverse can notify external handlers for selected table and message events. Coverage depends on registered event combinations and is not a universal Project Operations event stream.Martini can receive selected Dataverse callbacks through webhook-consuming workflows or exposed APIs, validate the request, retrieve the current row, and orchestrate downstream processing.
Batch and asynchronous processingYesDataverse supports $batch requests, bulk-operation patterns, and asynchronous system jobs for suitable operations. Individual failures, dependencies, throttling, and transaction boundaries still require handling.Martini can group compatible API operations, control sequencing and concurrency, process partial failures, and record failed items for replay.
File and attachment APIsLimitedDataverse supports file columns, image columns, annotations, and attachment-related data, but the representation varies by table, feature, and environment.Martini can route file or attachment transfers through workflows after inspecting the target table metadata and can separate binary handling from JSON row operations.
AuthenticationYesMicrosoft Entra ID OAuth 2.0, application registrations, confidential clients, Dataverse application users, security roles, and table permissions are used for API access.Martini can keep OAuth configuration and secrets in secure environment configuration and use authenticated API workflows with environment-specific URLs.
Change tracking and scheduled synchronizationYesIncremental synchronization can use Dataverse change tracking where applicable, modified-on timestamps, webhook notifications, persisted watermarks, and reconciliation workflows.Martini can schedule polling and reconciliation workflows, persist checkpoints, paginate through continuation links, and combine polling with selective callbacks.
Legacy Organization Service SOAPLegacyDataverse provides a legacy SOAP-oriented Organization Service for scenarios that specifically require it, but it is not the preferred approach for new Project Operations integrations.Martini can consume SOAP services when a legacy requirement exists, while new implementations should generally use the Dataverse Web API.
Analytics export and database accessLimitedMicrosoft-supported analytical patterns such as Azure Synapse Link for Dataverse or Microsoft Fabric link may be used for reporting, depending on licensing and architecture. Direct operational SQL access is not the normal integration mechanism.Martini can integrate with supported APIs, files, or analytical endpoints when exposed by the customer architecture, but should not assume direct Dataverse database access.

How Microsoft Dynamics 365 Project Operations exposes data and business events

Project Operations REST APIs

Project Operations data is exposed through the Microsoft Dataverse Web API, an OData v4 REST API. It supports querying and modifying Projects, Project Tasks, Contracts, Time Entries, Expenses, and related tables, including filtering, pagination, relationship expansion, alternate keys, and supported actions.

Martini implementation pattern

Martini implementation pattern: Martini authenticates to the environment-specific Dataverse URL with Microsoft Entra ID OAuth 2.0, calls the required Web API resources, transforms the response into a canonical model, applies business rules, and writes the result to downstream systems or exposes a controlled Martini API.

Implementation sequence

Authenticate with Microsoft Entra ID and the Dataverse environment
Retrieve the required rows with filtering, selection, expansion, and pagination
Resolve parent and lookup relationships
Map Dataverse fields to the canonical integration model
Apply lifecycle, validation, and ownership rules
Write the transformed result to the target system and persist identifiers

Dataverse Webhooks

Dataverse supports webhook registrations for selected table and message events. These notifications can cover selected creates, updates, or deletes, but they are not a universal event stream for every Project Operations change.

Martini implementation pattern

Martini implementation pattern: Martini receives the callback through a workflow trigger or exposed API, validates the request, uses the notification to identify the affected row, retrieves the current Dataverse representation, and routes the result through an idempotent downstream workflow. Scheduled reconciliation covers missed or unsupported events.

Implementation sequence

Receive the selected Dataverse webhook callback
Validate the request and identify the table, operation, and row
Retrieve the current row from the Dataverse Web API
Check the stored source identifier and duplicate state
Map and route the changed object to downstream systems
Record the outcome and rely on reconciliation for incomplete coverage

Batch and asynchronous operations

The Dataverse Web API supports $batch requests and Dataverse provides bulk-operation and asynchronous processing patterns for suitable workloads. Batch requests still require handling for individual failures, dependencies, throttling, and transaction boundaries.

Martini implementation pattern

Martini implementation pattern: Martini partitions compatible writes into bounded batches, preserves dependency order for parent and child tables, evaluates each operation result, retries transient failures with backoff, and records permanent failures for replay.

Implementation sequence

Select eligible operations and group compatible requests
Order parent and dependent table operations
Submit bounded batch or asynchronous requests
Evaluate each operation result rather than only the batch response
Retry transient failures using bounded backoff
Persist failed items and correlation details for replay

Files and attachments

Dataverse supports file columns, image columns, annotations, and attachment-related data. The correct representation depends on the Project Operations table, enabled features, and environment metadata.

Martini implementation pattern

Martini implementation pattern: Martini first determines whether the source is a file column, annotation, or related attachment model, then retrieves or writes the binary content separately from ordinary JSON fields and records the source and target identifiers.

Implementation sequence

Inspect the target table metadata and attachment representation
Retrieve the file or annotation reference
Transfer binary content using the appropriate API operation
Map document metadata and related Project Operations identifiers
Write the target file or attachment
Record transfer status and support replay without duplication

Common Microsoft Dynamics 365 Project Operations integration patterns

Pattern 1: Synchronize projects and tasks with Jira

When to use this pattern

Use this pattern when Project Operations is the commercial project system and Jira manages engineering or delivery execution. The integration can publish Projects and Project Tasks and optionally return selected Jira status changes.

Integration direction
Microsoft Dynamics 365 Project Operations
Martini
Jira
Example Mapping
Microsoft Dynamics 365 Project Operations FieldCanonical FieldTarget Field
msdyn_project.projectnumberproject.externalIdJira project key or external identifier
msdyn_project.nameproject.nameJira project name
msdyn_projecttask.subjecttask.titleJira issue summary
msdyn_projecttask.msdyn_efforttask.plannedEffortJira original estimate
Martini implementation pattern

A scheduled or webhook-triggered workflow retrieves changed Projects and Project Tasks, resolves parent relationships, maps statuses and ownership, and creates or updates Jira issues. Business rules prevent task publication when required project data is missing; stable source identifiers and replay-safe updates prevent duplicates, while transient API failures are retried and permanent mapping failures are logged for review.

Martini capabilities used
  • workflows
  • API consumption
  • scheduling
  • data mapping
  • business rules
  • error handling

Pattern 2: Synchronize project financial activity with Dynamics 365 Finance

When to use this pattern

Use this pattern when project delivery activity must be reflected in costing, billing, invoicing, revenue, or financial reporting. Ownership of Projects, Contracts, Time Entries, and Expenses should be defined before implementation.

Integration direction
Microsoft Dynamics 365 Project Operations
Martini
Dynamics 365 Finance
Example Mapping
Microsoft Dynamics 365 Project Operations FieldCanonical FieldTarget Field
msdyn_projectcontract.msdyn_namecontract.numberFinance project contract reference
msdyn_projectcontractline.msdyn_billingmethodcontractLine.billingMethodFinance billing method
msdyn_timeentry.msdyn_durationtimeEntry.durationFinance project hours
msdyn_expense.msdyn_amountexpense.amountFinance expense amount
Martini implementation pattern

Martini retrieves approved or eligible financial objects through the Dataverse Web API, validates project and contract relationships, transforms monetary and time values, and submits them to the configured finance integration endpoint. The workflow uses checkpoints, stable identifiers, dependency ordering, and separate handling for throttling, rejected business states, and duplicate financial postings.

Martini capabilities used
  • workflows
  • API consumption
  • data transformation
  • validation
  • business rules
  • retry handling

Pattern 3: Publish project status to ServiceNow

When to use this pattern

Use this pattern when operational teams need project, task, resource, or approval context in ServiceNow. Selected ServiceNow changes can be returned to Project Operations where the business process permits it.

Integration direction
Microsoft Dynamics 365 Project Operations
Martini
ServiceNow
Example Mapping
Microsoft Dynamics 365 Project Operations FieldCanonical FieldTarget Field
msdyn_project.statuscodeproject.statusServiceNow project status
msdyn_projecttask.subjectworkItem.titleServiceNow work item short description
msdyn_resourceassignment.msdyn_hoursassignment.plannedHoursServiceNow planned effort
msdyn_project.msdyn_projectmanagerproject.ownerServiceNow assignment owner
Martini implementation pattern

A Dataverse webhook or scheduled workflow retrieves the current source row, enriches it with related project data, and sends a normalized payload to ServiceNow. Martini applies state-transition rules, stores cross-system identifiers, routes authentication or transport failures for retry, and sends business validation failures to an exception path without repeatedly replaying them.

Martini capabilities used
  • webhook consumption
  • workflows
  • API consumption
  • mapping
  • conditional routing
  • error handling

Pattern 4: Incremental project reporting extract for Power BI

When to use this pattern

Use this pattern when reporting requires consistent Projects, Project Tasks, Time Entries, Expenses, and contract data without repeatedly extracting complete tables. The delivery architecture should use the customer’s supported Microsoft analytics approach.

Integration direction
Microsoft Dynamics 365 Project Operations
Martini
Power BI
Example Mapping
Microsoft Dynamics 365 Project Operations FieldCanonical FieldTarget Field
msdyn_project.msdyn_projectidproject.idPower BI project ID
msdyn_projecttask.msdyn_projecttaskidtask.idPower BI task ID
msdyn_timeentry.msdyn_durationtime.durationPower BI duration
msdyn_expense.msdyn_amountexpense.amountPower BI amount
Martini implementation pattern

Martini runs a scheduled workflow using change tracking or modified-on watermarks where supported, follows Dataverse continuation links, normalizes related objects, and publishes the result to the configured reporting ingestion path. The workflow records its checkpoint only after successful delivery and can replay failed windows without duplicating rows.

Martini capabilities used
  • scheduled workflows
  • API consumption
  • pagination
  • data mapping
  • checkpoint management
  • monitoring

Applications commonly integrated with Microsoft Dynamics 365 Project Operations

Project Operations can be integrated with adjacent Microsoft and enterprise applications when project, delivery, workforce, financial, or operational data must remain aligned. The exact scope depends on the Dataverse environment, enabled features, and ownership of each data object.

Application Scenario Direction Martini Pattern
Dynamics 365 Finance Share project costs, billing, revenue, time, and expense information with financial operations. Microsoft Dynamics 365 Project Operations → Martini → Dynamics 365 Finance Use Dataverse API workflows to retrieve Project Contracts, Project Contract Lines, Time Entries, and Expenses, apply ownership and status rules, then publish financial payloads and reconcile responses.
Microsoft Dynamics 365 Sales Connect opportunities, accounts, projects, contracts, and delivery status across sales and project operations. Microsoft Dynamics 365 Sales → Martini → Microsoft Dynamics 365 Project Operations Orchestrate account, opportunity, and project creation or updates through API calls, preserve cross-system identifiers, and route invalid lifecycle transitions for review.
Microsoft Dynamics 365 Human Resources Align worker, organizational, and resource information with project staffing and resource assignments. Microsoft Dynamics 365 Human Resources → Martini → Microsoft Dynamics 365 Project Operations Schedule incremental worker and organizational synchronization, map resource identifiers to Project Teams and Resource Assignments, and make updates replay-safe.
Salesforce Synchronize customer, account, opportunity, project contract, and delivery status information. Microsoft Dynamics 365 Project Operations → Martini → Salesforce Use Dataverse REST workflows for bidirectional synchronization, define system ownership per field, transform lookup relationships, and persist source identifiers for idempotent updates.
Jira Align commercial project planning with engineering or delivery work and task status. Microsoft Dynamics 365 Project Operations → Martini → Jira Retrieve Projects and Project Tasks, map schedules, statuses, identifiers, and ownership into Jira issues, and optionally process Jira status updates back through controlled workflows.
ServiceNow Coordinate project work with service requests, changes, approvals, and operational workflows. Microsoft Dynamics 365 Project Operations → Martini → ServiceNow Publish selected projects, tasks, resources, or approvals to ServiceNow and process selected updates through API or event-driven workflows with separate transport and business-error paths.
Power BI Report on project progress, utilization, financial performance, time, and expenses. Microsoft Dynamics 365 Project Operations → Martini → Power BI Extract filtered and incrementally changed Dataverse data, normalize related tables, and deliver governed reporting data through the customer’s supported Microsoft analytics architecture.

How to build a Microsoft Dynamics 365 Project Operations integration in Martini

Objective

Establish environment-specific access to the Dataverse Web API using Microsoft Entra ID OAuth 2.0 and a Dataverse application user with the required security roles.

Instructions in Martini

  • Store the Dataverse environment URL and OAuth configuration in secure environment settings.
  • Use a confidential client and application permissions for server-to-server processing where appropriate.
  • Confirm table, relationship, business-unit, and application-user permissions before testing data access.

Objective

Select the trigger that matches the required latency and event coverage, while recognizing that Dataverse webhooks are selective rather than universal.

Instructions in Martini

  • Use a Dataverse webhook callback for registered table and message events.
  • Use a scheduler for polling, reconciliation, or objects without suitable webhook coverage.
  • Use an exposed Martini REST API when an external application must submit controlled requests.

Objective

Retrieve the current Project Operations rows and related data required for processing rather than relying only on notification payloads.

Instructions in Martini

  • Query the Dataverse Web API with field selection, filtering, expansion, and ordering.
  • Follow continuation links until all required pages are processed.
  • Use change tracking, modified-on timestamps, or persisted watermarks for incremental synchronization.

Objective

Coordinate parent and dependent objects, external calls, validation, and response handling in a maintainable Martini workflow.

Instructions in Martini

  • Load parent Projects or Contracts before dependent Tasks, Contract Lines, Assignments, Time Entries, or Expenses where required.
  • Separate transport failures, throttling, and authentication errors from business-rule rejections.
  • Use bounded concurrency and batch requests only where dependency and failure behavior are understood.

Objective

Convert Dataverse table and column structures into the target system’s model while preserving identifiers and relationships.

Instructions in Martini

  • Map actual Dataverse logical fields rather than relying only on display names.
  • Preserve source identifiers and define alternate-key or lookup behavior where available.
  • Transform statuses, dates, monetary values, durations, nested relationships, and file references explicitly.

Objective

Ensure updates respect Project Operations lifecycle states, required fields, relationships, ownership, and downstream processing rules.

Instructions in Martini

  • Validate required fields and allowed status transitions before writing.
  • Check for existing target objects before creating new ones.
  • Route invalid state transitions and data-quality failures to an exception path for review.

Common Microsoft Dynamics 365 Project Operations data objects used in integrations

ObjectTypical UseCommon target systemsMartini handling
ProjectsProject identity, status, dates, organization, and financial context used to coordinate delivery and reporting.Jira, Salesforce, ServiceNow, Power BI, Dynamics 365 FinanceRetrieve through the Dataverse Web API, preserve the Dataverse identifier, map lifecycle states explicitly, and synchronize incrementally using change tracking or timestamps where applicable.
Project TasksPlanned work items, task hierarchy, scheduling information, and task status.Jira, ServiceNow, Power BILoad parent Projects before dependent tasks, map hierarchy and ownership, and make create or update operations idempotent.
Project ContractsCustomer-facing contractual project arrangements supporting commercial and billing processes.Dynamics 365 Finance, Salesforce, Power BIMap customer and project relationships explicitly, validate lifecycle state and required fields, and route business-rule failures separately from transport errors.
Project Contract LinesContract-specific project work, billing methods, and commercial terms.Dynamics 365 Finance, SalesforceProcess after the parent Project Contract, preserve line identifiers, and apply field and status rules before writing downstream data.
Resource AssignmentsAssociations between project tasks and project resources used for staffing and planning.Dynamics 365 Human Resources, Power BI, ServiceNowResolve related Project Tasks and resources before binding relationships, then reconcile changes using stable identifiers.
Time EntriesSubmitted or approved project time used for tracking, costing, and billing.Dynamics 365 Finance, Power BI, payroll or workforce applicationsFilter by approval and modification state, map worker and project relationships, and use checkpoints and duplicate controls during financial synchronization.

Authentication and security considerations

Microsoft Entra ID OAuth 2.0

Project Operations access is normally secured through Microsoft Entra ID OAuth 2.0 and an environment-specific Dataverse audience. Server-to-server workflows generally use a confidential client with application permissions and a Dataverse application user.

Dataverse authorization

A valid access token does not by itself grant access to Project Operations data. The application user requires suitable security roles, table privileges, relationship privileges, and business-unit access.

Secure configuration

  • Keep client secrets, tokens, environment URLs, and other sensitive values in secure environment configuration.
  • Use separate application registrations and permissions for development, test, and production where appropriate.
  • Apply least privilege and review permissions when Project Operations solutions or customizations change.

Operational considerations for Microsoft Dynamics 365 Project Operations integrations

Rate limits and retries

Dataverse service-protection limits require bounded concurrency, respect for Retry-After guidance, and exponential backoff. Batch requests can reduce overhead but do not eliminate individual operation failures.

Pagination and incremental synchronization

Follow continuation links and use change tracking, modified-on timestamps, webhooks, or durable watermarks rather than assuming one request returns all Projects, Tasks, Time Entries, or Expenses.

Idempotency and dependencies

Preserve source identifiers, use alternate keys where configured, check before creating rows, and process parent relationships before dependent objects. Webhook deliveries and retries should be safe to replay.

Schema and business changes

Table availability, columns, relationships, and lifecycle rules can vary by deployment, version, enabled feature, and customization. Validate metadata and regression-test mappings after solution updates.

Observability

Record source and target identifiers, operation types, response status, correlation information, and failure details so workflows can distinguish replayable transport errors from permanent business validation errors.

Why use Martini instead of scripts or point-to-point integrations?

Orchestrate beyond a single API call

Scripts often embed authentication, pagination, mapping, retries, and business rules in one codebase. Martini separates these concerns into workflows and reusable integration assets that can coordinate Dataverse with multiple applications.

Handle selective events reliably

Because Dataverse webhook coverage is selective, Martini can combine callbacks with scheduled reconciliation, change tracking, checkpoints, and replayable error paths.

Maintain clear data contracts

Martini can expose controlled APIs, map Dataverse tables into canonical models, preserve relationships and identifiers, and apply business rules before downstream writes.

Improve operational control

Centralized configuration, workflow logging, validation, retry handling, and deployment practices make integrations easier to test, monitor, troubleshoot, and evolve than isolated point-to-point scripts.

Frequently asked questions

How can Microsoft Dynamics 365 Project Operations be integrated with enterprise systems?

Project Operations is built on Microsoft Dataverse and is typically integrated through the Dataverse Web API, an OData v4 REST API. Enterprise workflows can query and update Projects, Project Tasks, Contracts, Time Entries, Expenses, and related tables, use selected Dataverse webhook callbacks, process batch operations, and use scheduled synchronization or supported analytics export patterns.

Can Martini integrate with Microsoft Dynamics 365 Project Operations?

Yes. Martini can integrate with Project Operations by consuming the Microsoft Dataverse Web API with Microsoft Entra ID OAuth 2.0, receiving selected Dataverse webhook callbacks, orchestrating workflows, mapping data, and exposing controlled REST APIs. A dedicated native Martini connector is not documented in the supplied sources.

Do I need a connector to integrate Microsoft Dynamics 365 Project Operations with Martini?

No. A dedicated Project Operations connector is not required. Martini can use the product’s confirmed native integration mechanisms, primarily the Dataverse Web API, Microsoft Entra ID authentication, selected webhook callbacks, batch operations, files, and scheduled workflows.

Is there any extra Lonti cost to integrate Microsoft Dynamics 365 Project Operations with Martini?

Lonti does not charge an additional per-connector or per-vendor fee to integrate Project Operations. The integration is subject to the provisioned capacity of the Martini environment. Separate costs may apply from Microsoft, Azure, Dataverse, infrastructure, or other third-party systems based on licensing, usage, and deployment model.

Which API should a new Project Operations integration use?

The Microsoft Dataverse Web API is the primary choice for new integrations. It provides REST/OData v4 access to Project Operations data and supports querying, creating, updating, deleting, associating, disassociating, and invoking supported Dataverse operations. The legacy SOAP-oriented Organization Service should generally be reserved for specific legacy requirements.

Does Project Operations support events or webhooks?

Dataverse supports webhook registrations for selected table and message events, including selected creates, updates, or deletes. This is not a universal Project Operations event stream, so robust integrations commonly combine webhook notifications with API retrieval, scheduled reconciliation, and persisted synchronization checkpoints.

How does synchronization handle large Project Operations data sets?

Use filtering, field selection, continuation-link pagination, change tracking where applicable, modified-on watermarks, and bounded concurrency. Dataverse batch operations can reduce request overhead, but workflows must still process individual operation failures, dependency ordering, throttling, retries, and idempotency.

Can Martini expose an API façade for Project Operations?

Yes. Martini can expose controlled REST APIs that hide Dataverse-specific details, apply authorization and business rules, normalize Project Operations data, and orchestrate calls to the Dataverse Web API and downstream systems. This can provide a stable integration contract while the underlying Dataverse schema evolves.

Related Martini documentation

APIs

Workflows

Data

Security

Operations

Integrate Microsoft Dynamics 365 Project Operations with Martini

Use Martini to connect Project Operations through Dataverse APIs, selected webhook events, secure authentication, scheduled synchronization, and maintainable enterprise workflows.

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