{"id":11617,"date":"2026-03-27T17:30:45","date_gmt":"2026-03-27T09:30:45","guid":{"rendered":"https:\/\/www.salesforce.com\/?p=11617"},"modified":"2026-03-27T17:30:47","modified_gmt":"2026-03-27T09:30:47","slug":"five-ds-ai-work","status":"publish","type":"post","link":"https:\/\/www.salesforce.com\/ap\/blog\/five-ds-ai-work\/","title":{"rendered":"The Five D\u2019s: A Framework for Smarter AI Work"},"content":{"rendered":"\n

AI work is advancing at a pace that\u2019s rewriting the rules of business. What once took entire teams can now be automated in weeks with intelligent agents that learn, adapt, and scale in real time. <\/p>\n\n\n\n

At Salesforce, we can now embed intelligent agents into new or existing workflows in a matter of weeks, automating tasks that once demanded entire teams. These agents operate in real time, learn from every interaction, and move seamlessly across systems with a level of precision and adaptability that would have seemed out of reach not long ago.<\/p>\n\n\n\n

But modern leadership requires more than technical fluency. Our responsibility isn’t just to ask, ‘Can we automate this? but to question, ‘Should we? To help us lead in this new era, a clear framework for smarter AI decisions has been particularly helpful: the Four D\u2019s of automation. Combined with a fifth D of discernment, this framework helps leaders identify where AI delivers the most impact, including tasks that are dull, dirty, dangerous, or difficult, while protecting the spaces where human judgment and creativity matter most. <\/p>\n\n\n\n

The result? AI work that\u2019s not only faster, but also smarter and more sustainable. <\/p>\n\n\n\n

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Human-AI Collaboration: How to Work Together<\/h2>\n\t\t\t\t\t\t\t

Learn how artificial intelligence is creating new high-paying jobs and how the future of work lies in human-AI collaboration, not replacement.<\/p>\n\t\t\t\n\t\t\t\n\t\t\t\t\t\t\t

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When should we use AI? <\/strong><\/h2>\n\n\n\n

As organisations scale their use of AI, a central question keeps surfacing: What kinds of tasks truly belong in the hands of machines? A proven way to answer this comes from the world of robotics and automation: the Four D\u2019s framework. This simple lens groups ideal AI workloads into four categories: dull, dirty, dangerous, and difficult<\/strong>. This framework clarifies where automation delivers the most value without eroding human judgment or engagement.\u00a0<\/p>\n\n\n\n

AI excels when matched to these task profiles: <\/p>\n\n\n\n