Sales teams at Google, Twilio, and other companies say productivity spiked after they started using ChatGPT-like tools to answer prospective customers' RFPs
ChatGPT-style AI can tackle the drudge work of responding to RFPs faster than humans. Sales teams at Google, Twilio, and others say productivity is spiking. Threads: @carnage4life . Mastodon: @carnage4life@mas.to . X: @datarobot , @richardkimphd , and @fgraillot LinkedIn: Robert DuWors , Adnan Z. , Jon Druker , Mamoon Chowdry , Saurabh Sharma , and Debanjan Saha Threads: Dare Obasanjo / @carnage4life : The endgame for generative AI systems is replacing entire classes of knowledge work that require expertise but do routine work that is well understood. Sales teams at Google, Twilio and others have already found that ChatGPT does a great job responding to customer RFPs. … Mastodon: Dare Obasanjo / @carnage4life@mas.to : The endgame for generative AI systems is replacing entire classes of knowledge work that require expertise but do routine work that is well understood. — Sales teams at Google, Twilio and others have already found that ChatGPT does a great job responding to customer RFPs. … X: @datarobot : @WIRED highlights DataRobot's RFP bot and #generativeAI capabilities that are minimizing the “drudge work” and increasing productivity across sales teams. 💡Our Chief Customer Officer Jay Schuren shares his insight. Read more: https://www.wired.com/... Sang-Rak Kim / @richardkimphd : When asked by a company staffer about its favorite question to answer, the bot dryly replied, “I don't have personal preferences or feelings” before noting, “I particularly excel at answering questions related to Twilio's features, customer stories,... http://news.google.com/... Florian Graillot / @fgraillot : 🟡 A surprising use-case for Generative AI... answer to RFP! → https://www.wired.com/... That's what this article details, quoting sales people at tech giants who expect to save hours of work for their sales teams. LinkedIn: Robert DuWors : This is disturbing. They claim without knowing how things work to be turning one of the most vital business processes over to intercommunicating systems of unknown nature. … Adnan Z. : The title is a bit misleading but the premise of the article is that process automation augmented via generative AI has already begun in #Sales. … Jon Druker : This is a brilliant use of #AI to save time and effort. If only they applied this to academics who spend time writing grant proposals... Mamoon Chowdry : I love to hear about tools that genuinely resonate with human-centric goals. We increasingly see tools that align with the overarching objective of enhancing human productivity and efficiency. … Saurabh Sharma : Interesting article on how AI-powered chatbots are disrupting the traditional role of sales professionals like drafting responses to RFP. … Debanjan Saha : Great read and nice call out to #DataRobot RFPBot quoting our very own Jay Schuren. — “DataRobot's RFP bot lives inside Slack …
Context & Ripple Effects
This is an early enterprise use case for generative AI: turning a repeatable, document-heavy sales task into an assisted workflow. It follows evidence that ChatGPT users completed writing tasks faster and with higher assessed quality in a study of AI-assisted writing work.
The RFP example matters because it ties model output to a revenue-facing process rather than general experimentation. The later emergence of task-specific custom GPTs reinforces the direction toward tools configured for narrowly defined business work.
First-order effects
- Sales teams using ChatGPT-like tools can draft and assemble RFP responses faster, shifting staff time away from repetitive response preparation toward review and customer-facing work.
- DataRobot’s RFP bot illustrates the immediate product implication: AI can be packaged around a specific sales workflow rather than offered only as a general-purpose chatbot.
Second-order effects
- Sales organizations and RFP-software providers face pressure to add comparable drafting and knowledge-retrieval capabilities, as response speed becomes more directly tied to sales-process efficiency.
- The value of internal product, security, and prior-bid materials rises: teams need reliable source content and human review to make AI-generated responses usable.
Third-order effects
- If adoption persists, routine knowledge-work tasks are likely to be redesigned around human approval and exception handling rather than end-to-end manual drafting.
- This is part of a broader shift from standalone generative-AI experiments to workflow-native systems, with differentiation increasingly depending on task fit and access to company context.
The trend: Generative AI is moving into repeatable business workflows where it can compress drafting work while leaving people responsible for validation and customer judgment.