#Trailblazer Community Questions3,477 discussing

Hello,

While reviewing the Winter '27 release features, I noticed that Agentforce Recommendations

is visible in our non-production orgs, as shown below, but the same section is not available in our Production org. 

In the non-production org, the Knowledge page displays an "Agentforce Recommendations" section, whereas in Production it only shows "Suggested Articles."

Could anyone help clarify the following:

1. Is Agentforce Recommendations a feature introduced as part of the Winter '27 release?
2. Does this feature require any additional setup, permissions, or enablement steps?
3. If it is release-related, will it automatically become available in Production once the Winter '27 release is enforced?
4. Are there any licensing prerequisites or Agentforce-specific configurations required for customers to see this feature?

Any insights or documentation references would be greatly appreciated.

Thank you!

Hi Trailblazers, 

Need help to achieve a requirement where I need to put some custom conversational button on embedded messaging chat for service type of agent. So when I click predefine text button on chat window, it should send as a message so that user should not need to type. 

It's a similar like what we have on 'Ask Agentforce' on trailhead. see image below. 

Hi Community / Salesforce Team,

We need guidance on the best Salesforce architecture to analyze a high volume of emails, activities, and meeting/call transcripts across an Account hierarchy.

The requirement is to analyze interactions recorded against an Account, its Contacts, and related child objects, then roll relevant findings from child Accounts to the Ultimate Parent Account. This includes emails, Tasks, Events, call notes, meeting notes, and available transcripts, along with interactions linked through Contacts, Opportunities, Cases, Contracts, and other related records.

We need both structured analysis—such as activity volume, time since last interaction, unresolved follow-ups, engagement trend, and repeated issues—and text-based analysis of email content, notes, and transcripts for themes such as dissatisfaction, escalation, competitor mentions, cancellation intent, or other customer concerns.

The data volume can reach millions of records and refreshes weekly through incremental loads. An Agentforce agent should be able to investigate a selected Account or Ultimate Parent Account and provide concise evidence and recent themes without reading the full interaction history or exceeding token limits.

Could you please advise on the best approach and why?

Should Data Cloud be used to ingest and aggregate emails, activities, and transcript data across the Account hierarchy?

Can Data Cloud efficiently roll activity and interaction signals from child Accounts to the Ultimate Parent Account?

What is the recommended approach for bulk text analysis: Data Cloud, Einstein/Agentforce, Salesforce/Apex, external processing, or a hybrid model?

Should deterministic signals be calculated in advance, while Agentforce performs targeted analysis only for a selected Account?

How should we store and retrieve concise summaries, themes, and recent supporting evidence so the agent does not need to process raw historical emails and transcripts?

What is the recommended way to proactively detect weekly changes in engagement, sentiment, or customer concerns at scale?

We are looking for a scalable design that supports proactive bulk analysis and focused, evidence-based account investigation.