@alexxubyte: Salesforce deployed 20,000 enterprise AI agents. The biggest lesson? The work is inverted! Traditional software → 90% o…

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Summary

Salesforce deployed 20,000 enterprise AI agents, revealing that the majority of effort comes after launch, not before. John Kucera, CPO of Agentforce, shares lessons on what separates successful agents from those that stall.

Salesforce deployed 20,000 enterprise AI agents. The biggest lesson? The work is inverted! Traditional software → 90% of the effort comes before launch AI agents → 90% comes after We sat down with John Kucera, CPO of Agentforce, to learn what separates agents that deliver real value from those that stall after a good demo. Teams that treat launch as the finish line stay stuck in pilot mode. Teams that treat it as the starting line scale. The full playbook covers: - Why most enterprise agents fail - Pre-launch foundations (scope, KPIs, guardrails) - The feedback loop that gates scaling - 3 anti-patterns from 20,000 deployments - Where agent architecture is heading next Full article linked in the tweet below
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Cached at: 06/10/26, 12:26 AM

Salesforce deployed 20,000 enterprise AI agents. The biggest lesson? The work is inverted!

Traditional software → 90% of the effort comes before launch AI agents → 90% comes after

We sat down with John Kucera, CPO of Agentforce, to learn what separates agents that deliver real value from those that stall after a good demo.

Teams that treat launch as the finish line stay stuck in pilot mode. Teams that treat it as the starting line scale.

The full playbook covers:

  • Why most enterprise agents fail
  • Pre-launch foundations (scope, KPIs, guardrails)
  • The feedback loop that gates scaling
  • 3 anti-patterns from 20,000 deployments
  • Where agent architecture is heading next

Full article linked in the tweet below

Full breakdown:

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