Laurel enables non-technical employees, including Product and Customer Success Managers, to build and ship full-stack features using agentic AI tools like Devin. This blurs traditional role boundaries and dramatically accelerates development cycles.

Companies once hired siloed 'digital experts,' a role that became obsolete as digital skills became universal. To avoid repeating this with AI, integrate technologists into current teams and upskill existing members rather than creating an isolated AI function that will fail to scale.

Since every AI agent needs human oversight, companies are creating a new specialization. These engineers don't just write code; they manage the company's central "super-agent," ensuring it works correctly, fixing its mistakes, and integrating it into workflows, often by "talking" to it in Slack.

AI adoption is forcing corporate legal teams to become more technical, leading to the expansion of "legal ops" roles. Companies now hire engineers directly onto their legal teams to manage systems, processes, and AI tool integrations—a significant shift from traditional legal department structures.

To make "AI Ready" tangible, Unum uses a two-pronged approach. "Everyday AI" (e.g., Copilot) is rolled out to the entire company to foster citizen development and reduce fear. "Embedded AI" involves deep, mandatory training for engineers to integrate AI directly into their core workflows and boost productivity.

To maximize AI's impact, ElevenLabs places dedicated technical resources directly within non-technical departments like operations and talent acquisition. This embedded 'tech lead' is responsible for identifying and building automation, upskilling the team, and bridging the gap between business needs and technical capabilities.

ElevenLabs places engineers directly within its go-to-market, legal, and people teams. This approach uplevels non-technical staff, automates complex workflows (like contract risk scoring), and ensures technical oversight for department-specific coding efforts, creating a significant operational advantage.

Merge fosters a company-wide AI culture by not just encouraging tool usage, but making it a component of performance. They feature AI-forward employees from all departments (R&D, accounting, marketing) and provide training to ensure adoption is universal, not just siloed in engineering.

To ensure AI adoption doesn't become "everyone's job is no one's job," create a dedicated AI Operations team. This team, described as the "new BizOps," has a full-time mandate to identify and automate workflows across every company function.