AI Embedded in Business Workflows
Chris Lu, co-founder of Copy.ai, on the future of generative AI
The important shift is from helping people draft text, to removing the need to draft it at all. In this view, the real product is not a smarter document editor, it is software that pulls context from systems like CRMs, websites, earnings calls, and product databases, then turns that context into actions like prospect research, outreach, and product content updates. Once the workflow runs inside business systems, the document becomes an output, not the place where work happens.
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Copy.ai started as a writing tool, but by March 2024 it had repositioned as a workflow automation platform for go to market teams. The concrete change is from generating one email on command, to researching an account, drafting a sequence, and pushing it into Salesforce or HubSpot automatically.
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This repositioning was a survival move as much as a product vision. After ChatGPT launched in November 2022, standalone AI writing subscriptions were pressured by free chatbots and AI features inside Notion, Grammarly, Microsoft Word, and Google Docs. A pure editor became easier for incumbents to copy.
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The closest comparables are less Adobe or Google Docs, and more Zapier, Apollo.io, and enterprise workflow software with an AI layer. The value shifts from nicer wording to measurable ROI, like filling CRMs, ranking leads, standardizing product data, or helping one content marketer produce a blog per day from a much larger AI generated queue.
Where this heads next is toward AI running narrow, high volume business processes in the background, with humans acting more like reviewers and workflow designers than editors. The companies that win will be the ones embedded deepest into systems of record, because that is where they can turn business context into repeatable, automatic work.