The below are the different phases of rolling out AI Agents in an organization.
Crawl phase.
Deploy the first agent internally for a small pilot group. Focus on learning and iteration. Failures are cheap.
Walk phase
Deploy the agent to a controlled external user group. More users, more feedback, more edge cases discovered. Investment in observability and evaluation pays off.
Run phase
Scale the agent to external users with confidence. Platform capabilities enable other teams to build their own agents faster. Organizational capability compounds.
This is how organizations can go from one developer building one agent to dozens of teams building dozens of agents with consistent quality, shared infrastructure, and accelerating velocity.
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