AWS re:Invent 2025 - Scale Trusted AI Adoption with Salesforce and AWS (AIM266)

Scaling Trusted AI Adoption with Salesforce and AWS

Trends in AI Adoption and Challenges

• CIOs and tech leaders are rushing to deploy AI use cases, driven by pressure from business leaders and the board
• There is confusion around different AI paradigms (predictive, generative, agentic) and their architectural differences
• Many AI pilots are failing to deliver value, especially with generative AI approaches
• CIOs are shifting from a "build from scratch" mindset to evaluating SaaS and cloud-based AI platforms

The Salesforce and AWS Partnership

• Salesforce and AWS have partnered to provide a trusted, secure, and scalable platform for agentic AI
• Key capabilities include:
  • Ability to use Anthropic's Constitutional AI models on the Salesforce platform, keeping data within the Salesforce trust boundary
  • Model flexibility through integration with AWS Bedrock, allowing customers to choose from a variety of LLMs
  • Multi-agent orchestration and collaboration through Salesforce's Agent Exchange and AWS MCP integration

Governance and Control for Agentic AI

• Crucial governance factors for Crowdstrike include:
  • Compliance: Containing data and model traffic within the Salesforce VPC, with no data retention
  • Control: Visibility and monitoring through the Agent Force command center, with the ability to control and adjust agent behavior
  • Collaboration: Enabling seamless agent-to-agent communication and interoperability using standards like A2A and MCP
• Key steps for effective AI governance:
  1. Define an AI governance framework as a business-level initiative, not just an IT concern
  2. Establish data governance and visibility into the data lifecycle used by AI models
  3. Automate continuous monitoring of AI model behavior and performance
  4. Document and manage all agentic use cases and AI models to prevent "shadow AI"

Crowdstrike's Journey to an Agentic Enterprise

• Crowdstrike partnered with Deloitte to accelerate their agentic AI journey, leveraging Deloitte's transformative expertise
• Key benefits include:
  • Delivering tactical AI accelerators to business teams quickly
  • Reimagining existing workflows through an "agentic lens" for greater efficiency and automation
  • Leveraging Deloitte's experience in AI governance and control to establish the right processes and guardrails

Key Takeaways

• The partnership between Salesforce and AWS provides a trusted, secure, and scalable platform for agentic AI adoption
• Effective AI governance is crucial, requiring a business-level approach to managing data, models, and agent behavior
• Enterprises can accelerate their agentic AI journey by partnering with experienced system integrators like Deloitte