AI capabilities in Journey Optimizer B2B Edition

Use AI capabilities in Adobe Journey Optimizer B2B Edition to generate content, explore product knowledge, and gain operational insights.

IMPORTANT
An agreement to the user guidelines is required before you can use AI capabilities in Journey Optimizer B2B Edition. This agreement also contains the public beta agreement so that you can use additional AI-enabled features as they roll out.
View the user agreement interface

The first page of the user agreement.

The last page of the user agreement.

Use the Coworker app coworker-app

Use the CX Enterprise Coworker app interface for all chat workflows other than generating content. Ask product questions, explore operational insights, and use journey skills and audience skills for B2B accounts and people. Content generation remains available within Journey Optimizer B2B Edition.

For instructions on opening the app, starting conversations, and using chat features, see the CX Coworker interface guide.

Consider which type of inquiry you need before you submit an Coworker chat query.

Product knowledge

Product knowledge refers to concepts and topics grounded in the Journey Optimizer B2B Edition documentation on Adobe Experience League. Product knowledge questions can be further specified into the following sub-groups:

Product knowledge
Examples
Pointed learning
  • What is a buying group?

  • Show me an example of a buying group roles template?

Open discovery
  • What are the steps to create buying groups?

  • How do I use custom fields in a buying group roles templates?

Troubleshooting
  • Why weren’t buying Groups for my journey created?

  • Why can’t I find Experience Events to listen to in the journey?

Operational insights

Operational insights refer to answers that Coworker generates about your metadata objects (attributes, account audiences, dataflows, datasets, destinations, account journeys, schemas, sources, buying group templates, and solution interests). These insights include counts, lookups, and lineage impact. They do not look at any data within the sandbox.

  • Which account audience has the largest audience size and what is that size?
  • How many account audiences have never been used in any journeys?
  • What active journeys use solution interest x?

You can ask Coworker questions about your operational insights in the following domains:

Domain
Supported metadata
Unsupported metadata
Attributes/fields
  • Attribute name search

  • Attribute - schema relationship

  • Attribute - dataset relationship

  • Attribute - audience relationship

  • Attribute - destination relationship

  • Attribute class

  • Audit

  • Deprecation status

  • Labels

  • Value stored in attributes

Account Audiences

Note: In the Journey Optimizer B2B Edition context, Coworker chat can only answer audience questions for Account Audiences. In the Adobe Experience Platform context, Coworker chat can answer questions only for Person Audiences.
  • Audience count

  • Audience type (streaming or batch)

  • Creation/modification dates

  • Activation status

  • Member count

  • Duplicate audiences

  • Name and ID search

  • Audience overlaps

  • Audience activation

  • Audit

  • Create/modification

  • Labels

  • Member qualification trends

Dataflows
  • Dataflow counts

  • Dataflow status

  • Dataflow - dataset relationship

  • Dataflow - source relationship

  • Creation/modification

  • Dataflow-batch relationships

  • Ingest profile count

Datasets
  • Dataset count

  • Profile enable status

  • Creation/modification date

  • Dataset - schema relationship

  • Dataset - audience relationship

  • Dataset - attribute relationship

  • Dataset - dataflow relationship

  • Name search

  • Name and ID search

  • Audit

  • Created by

  • Dataset - batch relationship

  • Dataset creation/modification

  • Dataset size

  • Number of profiles

  • Number of rows

  • Value search

Destinations
  • Configured destination counts

  • Destination - audience relationship

  • Destination attribute relationship

  • Account setup

  • Account credential information

  • Unique profiles activated

Journeys (Account Journeys)
  • Count

  • Name and ID search

  • Journey status

  • Creation/modification dates

  • Attributes - journey relationships

  • Audit

  • Creation/modification

  • Created by

Schemas
  • Schema counts

  • Creation/modification date

  • Schema - attribute relationship

  • Schema - dataset relationship

  • Schema - audience relationship

  • Profile enable status

  • Name search

  • Name and ID search

  • Audit

  • Creation/modification

  • Created by

  • Field groups

  • Identities

  • Identity namespaces

  • Labels

  • Number of profiles

Sources
  • Account counts

  • Account status

  • Active/inactive dataflows for each account

  • Source connector - dataflow relationship

  • Source account - dataflow relationship

  • Account credentials information

  • Account set upData ingestion metrics

  • Number of profilesSource - batch relationships

Buying Group Template
  • Counts

  • Status

  • Roles

  • Name and ID search

  • Role rules
Solution Interest
  • Counts

  • Status

  • Solution Interest - Buying Group Template relationship

  • Name and ID search

  • Solution Interest - Buying Group relationship

For operational insights questions, answers may not reflect the current state of the UI. The data that backs these questions is updated once every 24 hours. For example, changes that users make in Adobe Real-Time Customer Data Platform during the daytime are synced with the data stores at night, and then they become available for user questions in the morning. To inquire about specific data related to objects, sign in to a sandbox.

Privacy, security, and governance

Coworker chat in Journey Optimizer B2B Edition prioritizes privacy, security, and governance. Review the following information to learn about the customer trust-focused capabilities that you can expect from Coworker chat:

  • Coworker does not use personal data today, even for training purposes.

  • You can view a 30-day log of your previous interactions with Coworker chat.

  • Coworker is grounded in sandbox-specific data and public Adobe documentation when responding to prompts. Data is not shared across sandboxes.

  • Prompts that you provide to Coworker chat are not shared to other customers.

Next steps

With a general understanding of Coworker chat, proceed to enable and use it during your workflows. Refer to the following documentation for more information:

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