The delivery model today's AI leaders run on.
Palantir coined the forward deployed engineer over a decade ago; OpenAI and Anthropic launched their own FDE units this year; and the rest of the industry is investing billions in embedded engineering teams thousands strong. The reason is simple — the currency enterprises want now is speed.
Adroitent FDE brings that model inside your GCC. A pod of 5–6 expert, AI-enabled solution engineers embeds within your teams — combining business context, technology expertise, and AI-driven acceleration — to fast-track implementation, optimize customization, and keep delivery aligned to measurable business outcomes in real time.
How the pod works
- Embedded, not arm's-length. The pod works inside your GCC alongside your business, engineering, and security teams — and alongside AI agents.
- Multiplied by AI. Every FDE ships on DROITai (governed agentic platform) or your own, and builds with Devailey (AI code copilot) or your internal copilot.
- Weeks, not quarters. First production AI outcomes in 4–8 weeks — accelerated value back to your stakeholders.
- Your GCC keeps the capability. Runbooks, upskilling, and capability transfer leave your own teams able to run and extend what was built.