Salesforce Just Added Something New. Here’s How to Put It to Work.

Enabled, but never adopted. An admin flips the toggle, sends one email, and moves on to the next fire. Two weeks later usage is flat. A quarter later someone asks why you’re paying for it. Features don’t spread on their own. Somebody has to show people what changed in their day, in their words, on their screen.

No owner, no training, no follow-up. If a feature belongs to “the team,” it belongs to nobody. Without one named owner, nobody checks whether it’s working, and nobody fixes it when it isn’t. A short training for the people who’ll actually use it, plus a check-in at 30 days, beats a launch email every time.

Overlap with existing automations. Bulk Screen Flows land in an org that already has a bulk-update workaround. Test Mode meets flows built by three different admins over five years. Now two things do the same job in different ways, and you find out when a record updates twice. Audit what’s already there before you add anything new.

Chasing Dreamforce headlines before finishing last quarter’s rollout. Dreamforce creates pressure. A leader reads a keynote recap and wants Coworker by Friday, while the Flow cleanup that would save everyone ten hours a week sits untouched.

One more, and it has nothing to do with adoption. Four release updates enforce with Winter ’27, and Profile Filtering is the one that changes what data users can access. Nobody gets a banner when it happens. Users just notice that something they used to see has disappeared, and the ticket lands on your desk.

Bulk Screen Flows: Pick one repetitive bulk job, like lead reassignment or case close-out. Build the flow, test it in a sandbox with a realistic batch, and note how long the task takes today.

Measure: time per bulk task, manual edits.

Flow Test Mode: Take your three most-edited flows, save their test inputs, and rerun after every change. Sandbox only while it’s in beta.

Measure: flow errors per month, time to ship a flow update.

Pipeline Forecasting with Deal Risk: Confirm licenses and permissions, audit your opportunity and methodology fields, and start with sales managers.

Measure: forecast accuracy, slipped deals.

Agentforce Observability: Pick one live agent, define what “good” looks like, and review it weekly. If Optimizer is available in your org, work its ranked fix list.

Measure: resolution rate, handoff rate, failure patterns closed.

Agentforce Coworker: Confirm availability and licensing, check who’ll configure it and which permission sets it needs, then start with one team and clear human-approval points.

Measure: time on routine lookups, tasks handed off.

Claudeforce: Small pilot group, with data access and permissions reviewed before anyone connects.

Measure: adoption in the group, time saved per task.