An application can add access to an AI model without the model provider adding the same feature to its own product. A cloud platform can host a model, an extension can connect a workspace to an external service, and a third-party developer can build an interface around an API. These are useful integrations, but their origins matter when readers ask who operates the feature and which product conditions apply.
Sources were checked on October 6, 2026. This guide explains how to build an integration provenance chart that identifies the application, integration operator, model service, and evidence connecting them. It is not a list of newly launched integrations. Its purpose is to prevent a partner launch from becoming an unsupported claim about a native product feature.
Define what native means in your report
The word native is often used loosely. Before writing, specify the claim you intend to make: built into a named application, operated by that application's provider, or delivered directly through a model provider's own product. These descriptions are not interchangeable. An application can embed a feature that relies on another company's model service.
Use concrete nouns instead of a vague native label whenever possible. “The workspace includes an integration operated by Example Partner” tells readers more than “The workspace now has native AI.” Preserve the operator identity and the product surface in the headline or opening paragraph when they affect setup, support, or access.
Do not infer provenance from a model logo alone. A partner may display a model family name to explain what powers the feature, while controlling the interface, prompt construction, billing, and release timing. That does not establish that the model provider endorses every partner claim or offers the same workflow directly.
Identify the layers between the user and model
Start with the user-facing application. Identify who publishes it and where the feature appears. Next, identify the integration component: a built-in connector, extension, hosted service, or custom workflow. Then identify the documented model service or hosting platform. Record unknown layers explicitly instead of collapsing them into the model brand.
For a cloud-hosted route, consult the hosting platform's own model documentation. The Amazon Bedrock supported-model documentation is an example of a first-party source for models exposed through that platform. A model's presence through a hosting platform does not by itself establish equivalent access through the model provider's consumer application.
Check whether the integration names an exact model identifier or only a family. If the operator can change the backend, record that fact only when the documentation supports it. If the backend identity is not disclosed, say that the integration uses an unspecified or partially specified model service rather than guessing from output style.
Build the provenance chart
A table is often clearer than a decorative diagram because it preserves the evidence and responsibilities at each layer. Use the following structure for the feature you are investigating.
| Layer | Identity to record | Evidence to find |
|---|---|---|
| User interface | Application and feature location | Application help or release note |
| Integration operator | Company or component managing the connection | Integration documentation |
| Hosting route | Direct provider API, cloud host, or other documented route | Technical reference |
| Model identity | Exact identifier, family, or undisclosed backend | Operator or provider documentation |
| Access and billing | Which product account and terms govern use | Setup and billing documents |
| Support route | Who handles application and model-service issues | Published support guidance |
Keep a source URL and checked date for every material row. A single launch blog may identify the visible application but leave the hosting route unclear. That is a partially documented chart, not proof that every layer is operated by the same company.
For a public article, include only necessary details. You do not need private deployment diagrams or credentials to explain the provenance of a user-facing integration. Focus on the identities and boundaries that change what readers must install, subscribe to, configure, or contact for help.
Verify the launch claim at the correct layer
Read the announcing party's release note and determine what it actually launched. Did the application add a connector, did the cloud host add a supported model, or did the model provider add a feature to its own product? These events can be related without being identical.
Then look for matching first-party documentation from the other relevant party where available. A partner's statement about its integration supports that integration claim. It does not automatically support a broader statement about the model provider's roadmap. If the provider has not documented the same native feature, avoid presenting the partner launch as evidence that it has.
Keep availability separate from provenance. A well-documented integration might still require account eligibility or staged access. Use an availability evidence matrix for those questions. The provenance chart tells you which service the access claim belongs to, while the matrix checks who can actually use it.
Check billing, support, and data-flow claims carefully
Find the integration's setup and billing documentation before recommending it. Determine which account is required and which party charges for the documented usage. Do not assume that a subscription to the model provider's chatbot covers a separate partner application or cloud route. State only the entitlements actually documented.
For support, distinguish an application failure from a model-service failure. A missing menu item may belong to the integration operator, while an upstream outage may affect the hosting service. Readers benefit from knowing the published support route, but do not promise that one company will resolve every problem across the chain.
For data flow, rely on the relevant product documentation and policies. Avoid declaring that a feature keeps all data local merely because the application runs on a desktop. Likewise, do not assume that every integration sends the same data to the same service. If the exact flow is undisclosed, mark it as a question to verify before making a sensitive-data recommendation.
Work through a fictional integration announcement
Imagine a fictional project-management application launching a writing assistant powered by Example Model through a cloud-hosted API. The application operator controls the editor interface, the cloud host exposes the model endpoint, and the model provider supplies the underlying model family. The provenance chart records three different roles.
The accurate launch description is that the project-management application added a writing integration using the documented route. It would be misleading to say that the model provider launched a native project-management feature unless a first-party source separately established that event. The same model family appearing in both places does not merge their product boundaries.
If the operator later changes its hosting route or model identifier, update those chart rows and assess any reader impact. Do not assume that the entire application was replaced. This fictional example illustrates attribution and responsibility; it does not describe a current partner launch or assert any real company's architecture.
Publish a practical, attributable explanation
Lead with the application, announcing party, and visible change. Explain the documented model route in a short paragraph, then state any important access or setup conditions. Use precise phrases such as “available through the integration” instead of implying availability in every product associated with the model brand.
Link the original integration documentation and relevant platform reference. If the documents disagree about a layer, record the issue in a documentation contradiction log. Avoid resolving an architectural question by trusting whichever marketing page uses the most confident language.
Keep the chart current when the operator changes the backend, billing arrangement, or support process. A provenance article remains useful after the launch because it helps readers understand the route they actually depend on. Review the source evidence before changing the checked date or announcing a new native capability.
Frequently asked questions
Does a model logo prove the feature is native?
No. It may identify the model family powering a partner integration. Verify who operates the interface and which product surface provides access. Prefer a concrete attribution over an undefined native label.
Is a cloud-hosted model the same product as its chatbot?
Not necessarily. The hosting platform and consumer application can have different access, setup, and support conditions. Document the exact route rather than treating a shared model family as one interchangeable product.
Can I identify the backend from an answer's writing style?
Do not present that as confirmed provenance. Use operator or provider documentation that names the model route. If the identity is undisclosed, state the limitation instead of assigning a brand from subjective output characteristics.
Who should receive support questions?
Follow the integration's published support guidance and identify the affected layer. Application behavior and upstream service availability can have different owners. Avoid promising that one party supports every component unless its documentation says so.
What should change when the integration switches models?
Update the documented model identity and assess practical effects on setup, capabilities, billing, and tests. Preserve the previous mapping as dated history where useful. A backend change does not automatically mean a new native feature was launched.
