Orchestration

Fixing one agent failure tends to break another. Salesforce's answer is to evolve rival versions of the harness and promote only the ones that don't regress.

Those results are more useful as a map of where models appear strongest than as a proclamation of one permanent winner — especially in a market where, as Guan noted, another model can arrive a week later.

Imagine deploying an AI agent to run a multi-day master data validation workflow. By day three, it has ingested thousands of records. The baseline governance rules you hardcoded into the system prompt at the start? They are gone. Pushed right out of active memory.

Salesforce's Trusted Enterprise AI Harness offers six capabilities for managing AI agents, aiming to streamline enterprise orchestration across platforms.

InMarket's pipeline ran error-free but produced 40% wrong audience counts due to a silent schema change, stressing the importance of semantic checks.

Uber's AI budget crisis reveals 'tokenmaxxing,' a surge in token use without ROI. Enterprises struggle to optimize AI costs and usage effectively.

The vendor's benchmark table doesn't fully back its own quality claims — and it's not the only AI company selling that story.

FDE embeds engineers with customers, turning field learnings into reusable AI capabilities, transforming enterprise deployment strategies.