BrazeAI Decisioning Studio Go
An AI decisioning agent for recurring email programs that picks the best subject line, send time, and image per recipient from past engagement, with a control group to measure lift.
Entries on this page are generated by AI from vendor sources. How AI is used
Next best action
Choosing the next action per person from rules or models.
| Month | Changes |
|---|---|
| 2026-02 | 1 |
| 2026-03 | 0 |
| 2026-04 | 1 |
| 2026-05 | 3 |
| 2026-06 | 1 |
| 2026-07 | 0 |
| 2026-08 | 1 |
| 2026-09 | 0 |
| 2026-10 | 6 |
Select a month to view the whole-record timeline. This clears timeline filters.
Platforms with recorded changes
Platforms with at least one feature state classified in this capability (primary or secondary, minor updates included), in the site's fixed order. Select one to filter the timeline. Counts are not shown side by side: they reflect how finely each vendor documents, not how much it offers.
Timeline
← Back to the Release MatrixTimeline filters
Filters apply to the timeline. The chart and platform totals describe the whole record. Selecting a chart month clears timeline filters to show that same whole-record scope.
Matches the Release Matrix evidence: latest state reached in the selected period, entries under review excluded, primary and secondary capabilities included.
No recorded changes match these filters.
Within each period: major updates as cards, then notable ones as rows; newest first in each group. Minor updates below.
October 20266 changes
Campaign Decisioning policy reward and uplift tracking
Lets a decisioning policy set a reward event, track more signals, define timed send limits, and show treatment-vs-control uplift.
MoEngage 3 minor updates Next best action
- GA Content labels for Campaign Decisioning source Tags Push campaign messages with content labels and categories so AI Campaign Decisioning can use them in policy metrics.
- GA Event relation tagging for Campaign Decisioning source Marks events Positive, Negative, or Irrelevant so Campaign Decisioning policy metrics use them correctly.
- GA Multiple message variations in Push Campaign Decisioning source Adds several auto-labeled message variations to one Push campaign for Campaign Decisioning to choose among.
SFMC Next 1 minor update Next best action
- Beta Adaptive Campaign Audiences for multi-campaign qualification source In beta, AI-driven Adaptive Campaign Audiences will choose which campaign best fits a customer who qualifies for more than one.
August 20261 change
Cloud Data Ingestion to BrazeAI Decisioning Studio
Syncs data warehouse data directly into BrazeAI Decisioning Studio for reinforcement learning and AI decisioning, starting with Snowflake sources, without custom ETL jobs.
June 20261 change
Planned automatic context and next-action surfacing on records
Planned record views will surface recent activity and engagement trends automatically and recommend a next action, which Breeze can execute.
May 20263 changes
AI Decisioning with Invoke-Your-Own-Model
Lets customers bring their own custom model into Tealium's AI decisioning for next-best-action choices.
Decisioning Agent Analytics
Early access dashboard measuring incremental engagement uplift from Campaign Decisioning Agents by comparing an AI-optimized treatment group against a control group.
Agentforce Journey Decisioning Agent
The Journey Decisioning agent reviews real-time customer behavior and profile data to dynamically select the best campaign flow for each individual.
April 20261 change
Klaviyo 1 minor update Next best action
- GA WhatsApp in Channel Affinity source Channel Affinity now includes WhatsApp when automatically optimizing which channel to deliver a message on.
February 20261 change
Campaign Decisioning Agents
Always-on decisioning agent that automatically matches campaign, message, and channel per user by propensity to engage, with continuous self-optimization.