Salesforce pulls back from LLMs, pivots Agentforce to deterministic automation
4 months ago
- #AI
- #Business Automation
- #Salesforce
- Salesforce is reducing reliance on large language models due to reliability issues.
- Trust in AI models has declined, leading to a strategic shift towards deterministic automation.
- Salesforce reduced support staff from 9,000 to 5,000 employees using AI agents.
- Agentforce aims to eliminate randomness in large models, moving away from AI-first messaging.
- Technical challenges include models omitting directives and failing to send surveys consistently.
- AI 'drift' causes agents to lose focus on primary objectives when faced with irrelevant questions.
- CEO Marc Benioff prioritizes data foundations over AI models due to concerns about hallucinations.
- Salesforce stock has declined 34% from its peak, despite Agentforce's projected $500M annual revenue.
- Agentforce is positioned as trusted AI infrastructure with deterministic frameworks for reliability.