VERIFIED TECHNICAL DOSSIERSources checked

Clara Shih

VP & Head of Business AI, Meta | Former CEO, Salesforce AI | Founder, Hearsay Systems

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Verified Proof of Work Artifacts

2 items cataloged

Each artifact below represents an authenticated research publication, production code repository, or technical architectural framework directly authored or co-created by Clara Shih. Every entry undergoes editorial source verification.

IMPLEMENTATION Checked Sep 25, 2026

Salesforce Agentforce: Autonomous Enterprise Multi-Agent Orchestration

Spearheaded the product architecture of Agentforce, enabling enterprises to deploy autonomous AI agents with unified CRM data grounding, Atlas reasoning engines, and policy guardrails that operate without rigid hardcoded decision trees.

Model & Execution Context:Atlas Reasoning Engine, Einstein Trust Layer, CRM Data Cloud grounding.

Scope & Limitations

Enterprise agent reliability requires high data cleanliness and granular field-level permissioning across fragmented legacy enterprise systems.

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EXPLANATION Checked Sep 25, 2026

The Blueprint for Enterprise Autonomous Agents in Customer Workflows

Formulated the enterprise framework contrasting predictive machine learning, conversational copilot bots, and fully autonomous action-taking agents capable of resolving multi-step business cases end-to-end.

Model & Execution Context:Enterprise CRM workflows, human-in-the-loop escalation matrices, generative customer interactions.

Scope & Limitations

Organizational cultural resistance and legacy service metrics (such as handle time versus resolution quality) complicate enterprise agent deployment.

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