Salesforce says AI agents optimize tasks, but businesses need outcome loops
msrivastav13 · x · 2026-07-25
Salesforce argues most AI agents optimize tasks, not outcomes
In a reposted Salesforce thread, the company says many agents are good at finishing work but bad at showing whether the work mattered.
- Salesforce frames loop engineering as giving an agent a goal plus a way to measure progress so it can plan, evaluate, learn, and adjust.
- The company argues that task completion is not the same as a business outcome: more closed tickets does not automatically mean a better product or more sales.
- Its proposed next step is to align agent loops around shared business outcomes across sales, service, and marketing.
- Salesforce says many companies already have the needed metrics in existing systems, such as pipeline stages, service levels, and lead definitions.
More from Companies & People
- Critic says Gemini 3.5 Pro is already too late to compete — teortaxesTex · 2026-07-25
- Hugging Face debate says open source is not just a convenient profit play — mervenoyann · 2026-07-25
- Musk says every line of code touching X will be open-sourced next month — elonmusk · 2026-07-25
- Grok launches in Google Workspace with one add-on for Docs, Sheets and Slides — SpaceXAI · 2026-07-25
- “New York AnthropKnicks” turns Claude-running-a-team into a meme — matt_slotnick · 2026-07-25
- Solopreneur joke says one buggy PHP script can keep you “working” all night — ThePeterMick · 2026-07-25