Decagon's CTO on Forward-Deployed Engineering
Decagon's CTO, Sunny Rekhi, details the company's forward-deployed engineering model, highlighting its evolution, the dual role of its teams, and the importance of scalability and customer empowerment.

Visual TL;DR
complex workflows, human agents, slow responses across multiple channels
From the articleSunny Rekhi, CTO of Forward Deployed Engineering at Decagon, recently shared insights into the company's unique approach to "forward-deployed engineering." Decagon offers a 24/7 AI customer service agent designed to replace traditional phone and email support with human-like interactions across multiple channels.
details Decagon's forward-deployed engineering model and its evolution
From the articleSunny Rekhi, CTO of Forward Deployed Engineering at Decagon, recently shared insights into the company's unique approach to "forward-deployed engineering." Decagon offers a 24/7 AI customer service agent designed to replace traditional phone and email support with human-like interactions across multiple channels.
24/7 multilingual, omni-channel, human-like responses via phone or email
From the article 9+ mentionsRekhi explained that Decagon aims to handle complex customer support workflows that typically require human agents.
agent building for clients and integrating with backend systems
From the article 3 mentionsThis rapid scaling led to a restructuring of the FDE role.
AI proactively reaches out for lease renewals, generating client revenue
From the article 9+ mentionsFor instance, the AI can proactively reach out to customers for lease renewals or extensions, integrating with backend systems to facilitate these actions.
scaling from 50 to 500 employees, maintaining quality and efficiency
From the articleHowever, he stressed that the scarcer skill is exercising restraint and considering scalability.
strategic growth, avoiding over-engineering, planning for future needs
From the articleHowever, he stressed that the scarcer skill is exercising restraint and considering scalability.
Contents(5)
© 2026 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Written by
Daniel SingerEditor, StartupHub.ai
Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.