A World of Possibilities: 7 Use Cases for BrazeAI™ Agent Console

Customer engagement is an intricate process with a simple objective: Create more conversations that are more relevant to consumers. By meeting every customer where they are, across endless personalized touchpoints, brands build better relationships and put their customers on the fastest path to relevant products, services, and experiences.

Braze is dedicated to easing the friction customer engagement teams face through the new BrazeAI Agent Console™. You can now create customizable AI agents that perform business tasks, foster creativity, and allow marketers to become the strategic conductors of their engagement strategy.

What does that mean in practice? Let’s look at a few examples of how brands are already deploying BrazeAI Agent Console™, now in Beta, to enrich data, personalize experiences, and help better understand their customers.

Enriching catalog data

Engagement teams are often tasked with quickly meeting the demands of ever-growing consumer expectations. That’s easier said than done given often limited budgets, time, and resources. By leveraging agents to quickly adapt your product catalog to new markets while ensuring copy updates stay relevant and within brand guidelines, teams have more time to work on holistic strategies that will have a meaningful impact on the business.

Adding and modifying catalog descriptions

• Writing product descriptions can be a long, and tedious task, especially if your products or services are constantly evolving. BrazeAI Agent Console™ helps streamline that process. Brands can create an agent to write and edit new product descriptions or iterate on existing descriptions for items within their catalog. The agent can act as quality control and copywriter, ensuring that descriptions comply with brand standards and meet the needs of customers, all while saving valuable time and effort.

Translation and localization

• Brands can now expand the reach of your products and services catalog by leveraging agents to translate and localize your descriptions. Agents can take original product descriptions and update copy into conversational, localized product descriptions. All marketers need to do is provide the list of product and service descriptions and the languages for each translation effort.

Creating personalized experiences

Modern consumers expect robust, personalized experiences from their favorite brands. This has been a maxim for many years as new technologies make it easier for brands to foster unique 1:1 relationships with consumers. Still, many touchpoints prove difficult to personalize due to time and budget.

BrazeAI Agent Console™ helps marketers to overcome these obstacles by building agents that automatically personalize experiences that historically would have been static and generic. Here are a couple examples in use today.

Agentic responses to form submissions

• One travel brand uses agents in their WhatsApp submission flow to trigger a personalized Canvas response when customers fill out forms that share feedback or express interest. Agents offer a personalized message after form submission to help generate interest in travel bookings tailored to a specific user’s preferences. If, for instance, a customer in WhatsApp responds to an automated question asking about their dream destination, they automatically receive information on how to book a trip to that place. When asked their feelings on a trip or event, the agent acknowledges and responds to their sentiment.

Offer personalized recommendations using customer data

• Agent Console allows brands to contextualize message content like offers, simple text, and email snippets using a customer’s data and history with the brand. In practice, this could look like a retail AI assistant giving advice on matching products over chat, WhatsApp, or email using customer inputs and preferences. Say a customer bought a pair of dress shoes from a retailer, but they’re not sure how to style those shoes for a big interview next month. The customer asks “what can I wear with my new shoes to a job interview?” Agents can respond with personalized outfit recommendations for a young professional on the job hunt.

Data organization and cleanup

The cleaner the data, the better the outcome. It’s true across organizations and industries. But every marketer struggles to standardize data across multiple forms, especially in free-form situations when consumers need to fill out information that’s difficult to categorize.

Agent Console can help streamline the process, turning time consuming manual tasks into painless projects AI can quickly complete. Here are three examples of how to use agents to help organize data.

Form submission standardization

• You can now create agents that can help standardize data across multiple forms, even when those forms are free-form and difficult to organize. Agents can review answers given on forms and normalize them, helping marketers quickly clean datasets. For example, a B2B website uses a form to collect information on prospects who download assets. The name and email addresses are uniform, but the brand also wants to know the consumer’s company and job title, which are much more difficult to standardize. The data standardization agent can review job titles and understand how senior that person may be, then standardize all possible spellings and iterations of a company name so marketers have clean, up-to-date data quickly.

Sentiment analysis

• How a customer feels about a brand or about their interactions with a brand are notoriously difficult to quantify. Sure, brands can understand how someone feels on a scale of one to five, but comprehending that grade while also analyzing written responses can take hours or days. With Agent Console, marketers can create agents that cleanly categorize and score sentiment in form submissions. Marketers can now easily have a more accurate understanding of the customer's feelings.

More accurate affinity assessments

• Agents can help marketers better evaluate the likelihood a customer will show a strong interest in a certain type of product or product category. Agents can handle diverse and unstructured data sets related to a users' survey responses, user attributes, and event data help marketers steer the right experience to each user preference.

Final thoughts

AI agents can do more than just save marketers time—they also make it possible to uplevel personalization, organize data, and quickly modify copy. BrazeAI Agent Console™ is a single hub that allows marketers to do more, quickly, while creating deeper relationships with customers and personalizing the engagement experience.

Learn more about how AI is moving from efficiency to effectiveness. Download the guide today!

Forward-Looking Statements

This blog post contains “forward-looking statements” within the meaning of the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995, including but not limited to, statements regarding the performance of and expected benefits from Braze and its products and features, including without limitation BrazeAI Decisioning Studio™. These forward-looking statements are based on the current assumptions, expectations and beliefs of Braze, and are subject to substantial risks, uncertainties and changes in circumstances that may cause actual results, performance or achievements to be materially different from any future results, performance or achievements expressed or implied by the forward-looking statements. Further information on potential factors that could affect Braze results are included in the Braze Annual Report on Form 10-Q for the fiscal quarter ended July 31, 2025, filed with the U.S. Securities and Exchange Commission on September 5, 2025, and the other public filings of Braze with the U.S. Securities and Exchange Commission. The forward-looking statements included in this blog post represent the views of Braze only as of the date of this blog post, and Braze assumes no obligation, and does not intend to update these forward-looking statements, except as required by law.