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As AI rapidly transforms industries, Salesforce is pioneering the next generation of intelligent systems.

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LinkedInJan 8, 2026
likes
9
comments
1

Post

As AI rapidly transforms industries, Salesforce is pioneering the next generation of intelligent systems. In our latest partner podcast episode, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt, VP of Product Architecture of Agentforce at Salesforce, to explore how AI agents are becoming more capable and dynamic. They shared a real-life example from Dreamforce, demonstrating how a sales agent in Slack orchestrates with Box’s document agent to analyze RFPs, create opportunities in CRM, and upload responses - all with human oversight. Here are some of the shifts they highlighted that matter most for leaders rethinking how work gets done with AI agents: → Defining AI agents: The evolution of agents in Salesforce, becoming more capable with tool calling loops. → Workflows vs. agents: Transition from chatbots to multi-step workflows, with specialized agents handling complex tasks. → Open standards and protocols: How MCP and A2A enable agent collaboration and prevent the "walled garden" problem. → From agent exchange to app store: Salesforce’s Agent Exchange as a marketplace for discovering and integrating agents. → Looking ahead: Preparing for multi-agent workflows and evolving UX to manage complex systems. The most telling insight from Gary: “You already have the data that you’re running your services on top of, you already have the...

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Extracted by Autobound

From the Signal API record
Signal
LinkedIn

What this signalsCompany posts often show what the team is pushing right now.

The full record

From the Signal API record

Topics and mentions

Tags

  • Artificial Intelligence
  • Automation
  • Sales
  • CRM

Extraction

Detected
Jan 8, 2026
signal_type
linkedin-post-company
signal_subtype
linkedinPost

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This page shows a preview. The full linkedin-post-company record in the Signal API and MCP can also have these 8 fields. Some fields are empty for some signals.

Company

  • linkedin_urlValue in the API
  • industriesValue in the API
  • employee_count_lowValue in the API
  • employee_count_highValue in the API
  • revenueValue in the API
  • descriptionValue in the API

Signal

  • signal_nameValue in the API
  • associationValue in the API
Show the full JSONThe record on this page and the API request

GET /v1/signals/4c7caf2d-c184-4604-8a69-da5d1b42c872 returns this record as JSON. POST /v1/companies/enrich returns every signal for box.com.

{
  "signal_id": "4c7caf2d-c184-4604-8a69-da5d1b42c872",
  "signal_type": "linkedin-post-company",
  "signal_subtype": "linkedinPost",
  "detected_at": "2026-01-08T19:06:23.239+00:00",
  "company": {
    "name": "Box",
    "domain": "box.com"
  },
  "data": {
    "tags": [
      "Artificial Intelligence",
      "Sales",
      "CRM",
      "Automation"
    ],
    "post_url": "https://www.linkedin.com/feed/update/urn:li:activity:7415081793152028672/",
    "num_likes": 9,
    "post_text": "As AI rapidly transforms industries, Salesforce is pioneering the next generation of intelligent systems.\n\nIn our latest partner podcast episode, Fernando Cerenza, Senior Director of Product Management at Box, sat down with Gary Lerhaupt, VP of Product Architecture of Agentforce at Salesforce, to explore how AI agents are becoming more capable and dynamic. They shared a real-life example from Dreamforce, demonstrating how a sales agent in Slack orchestrates with Box’s document agent to analyze RFPs, create opportunities in CRM, and upload responses - all with human oversight.\n\nHere are some of the shifts they highlighted that matter most for leaders rethinking how work gets done with AI agents:\n\n→ Defining AI agents: The evolution of agents in Salesforce, becoming more capable with tool calling loops.\n→ Workflows vs. agents: Transition from chatbots to multi-step workflows, with specialized agents handling complex tasks.\n→ Open standards and protocols: How MCP and A2A enable agent collaboration and prevent the \"walled garden\" problem.\n→ From agent exchange to app store: Salesforce’s Agent Exchange as a marketplace for discovering and integrating agents.\n→ Looking ahead: Preparing for multi-agent workflows and evolving UX to manage complex systems.\n\nThe most telling insight from Gary: “You already have the data that you’re running your services on top of, you already have the...",
    "posted_date": "2026-01-08T17:27:45.045Z",
    "num_comments": 1
  }
}

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