Salesforce
@salesforce
Salesforce is the #1# Agentic CRM — bringing humans, agents, and platforms together to drive customer success. Tweet @AskSalesforce for help.
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How @Informatica raises the ceiling on what Agentforce can do 📈
We have signed an agreement to acquire Rune Technologies, bringing purpose-built super intelligence to logistics at the tactical edge
Together, we'll connect frontline operations with enterprise workflows to strengthen mission readiness, even with limited connectivity
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The fastest way to ruin an AI agent is to give it too many rules. 💡
We push Agentforce to the limit on our own site before we ever hand you the keys
Here’s how Salesforce runs on Salesforce:
Trailblazers are already filling their treat bags. 🎃🔥 Who's finished #TrickOrTrailhead#?
Who's next?
Please welcome the newest member of the team 👋
See Agentforce Coworker in action with live demos and hands-on training November 4 on Salesforce+
Register free:
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World Tour New York comes to NYC December 3 🗽
This free event brings you practical AI skills, expert-led insights, live demos, and hands-on experiences to help make your company an Agentic Enterprise
More sessions coming soon. Register and build your agenda:
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Agents are only as smart as their context. Why memory matters 👇
.@TxDPS boosted their customer support capacity by 105% — step inside their playbook for deploying AI Agents at scale
AI agents can fail quietly
Costs can keep climbing
And you might not know until customers are already affected
Agent Fabric brings more control:
→ Evaluate continuously for quality issues
→ Trigger predefined interventions when quality drops
→ Cap spend before requests exceed budget
If your agents are live, evaluate them live
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When an AI agent starts getting it wrong, how quickly can you catch it? New Agent Fabric capabilities help enterprises spot agent issues and act on them from the same platform you already govern your agents.
Explore the announcement:
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Your next customer may never visit your website. Their AI agent might do it for them.
Shop. Book. Make a return. Contact support.
That gives your business three choices:
1. Block personal agents and risk turning customers away
2. Let personal agents find their own way through your website and APIs
3. Meet them with an agent of your own
Your customer’s agent brings their intent. Your business agent brings the context — products, policies, data, workflows, permissions, and rules — to get it done.
But if their personal agent does all the thinking, weighing, and recommending, it makes the decisions while your business just fulfills the order.
Businesses that meet customers’ personal agents with business agents of their own keep the customer data, conversation, and relationship on their side.
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Unapologetically here for the @DanielRicciardo hype 🔥
Fuel the obsession. Binge every episode of Inside @F1®.
Agent Optimizer turns case history into a trained Help Agent
First, it identifies the top use cases to automate from your real customer conversations and cases
Next, it reuses Flows and actions already in your org
Finally, it tests and refines the agent against real scenarios until it meets the quality standard
The result: a trained, Studio-ready agent in one guided session
New in Winter ‘27
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Spring ‘27 Release needs a logo. You pick 👇
Complex flows get messy fast
Flow Builder now lets you group related elements into named, collapsible groups
Label and describe each group
Collapse a group to hide the details and focus on the bigger picture
New in Winter ‘27
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Transactions executed by personal AI agents have grown 43% month over month, while only 3% of e-commerce companies are actually allowing these transactions.
Customers want to leverage personal agents in the places they are already shopping, and the businesses that are allowing personal agent interactions are already seeing the benefit. But lack of trust and governance can result in security vulnerabilities. Many companies are hesitant to let consumer agents in.
So how can businesses benefit from personal agents while mitigating the risks?
Itai Asseo, VP, Incubation & Brand Strategy, Salesforce and Mick Costigan, VP, Salesforce Futures look to a future where personal agents become widespread and discuss the agent-facing infrastructure that's needed to keep up.
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AI can generate. But can it create?
We put @iamwill through a rapid-fire round on AI, marketing, and where humans still have the edge.🔥 OR ❄️
Excited to be part of @NVIDIAAI’s Nemotron 3.5 Super VL launch
We’re customizing it to power AI agents in Missionforce Operations that can digitize and automate complex government workflows in secure customer environments
Let’s put it to work 🤝
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Meet NVIDIA Nemotron 3.5 Super VL
Our new open model combines reasoning and tool use with text, image, document, and video understanding for long-running AI agents.
120B total parameters with 12B active 🧵
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Get hands-on with the latest Salesforce innovations at World Tour New York 🗽
See Agentforce Coworker, Salesforce with Claude, Slackforce, and more. Explore how AI grounded in your business data and context can help your teams work smarter and move faster.
160+ sessions, live demos, and hands-on training. All for free. Register now:
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Are you still scrubbing out the busywork? @TheGroutGuy isn’t.
They’ve scaled from a one-man van to 200 people by leveraging Salesforce. AI handles the scheduling so the team can focus on their customers.
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Yes, folks, Damian is correct. The playbook is right there waiting for you.
Head of sales asking where to start with agents? Send them this.
@salesforce is the one rolling AI out at the biggest companies in the world, so this is the best playbook I’ve found on how an enterprise should approach agents. It shows how much the data matters and how to build the next layers on top of the CRM.
Salesforce refreshed its playbook, Become an Agentic Enterprise. It’s built on what they call Customer Zero, testing everything on their own 80,000 employees first, plus a 2026 study of 2,000+ AI decision-makers.
Six chapters, the best bit from each:
→ Goals. Pilots stall on resistance and low AI fluency.
→ People. 99% of companies running agents keep humans overseeing them.
→ Use case. “Agents that live in the flow of work get used.”
→ Processes. Built-in AI beats bolted-on tools on adoption.
→ Data. Salesforce grades its SDR agent against six million human SDR emails. It generated nearly $120M in pipeline.
→ Coaching. Asymbl’s sales team coaches its agent every week. 3,789% ROI.
Workflows, data and the record of how your best reps sell already live in your CRM. Build the agents there and keep a human coaching them.
Read the full playbook →
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