How AI agents can earn their autonomy

Celigo's AI team started with one clear scenario: take a lookalike account, have AI generate a set of outreach motions, and hand them to sales reps to review and send. Every message had a human in the loop. Over the following months they measured results, evaluated agent behavior, and ran quality, evaluation, and confidence checks until some scenarios had earned the sales team's trust to run without human review. Others never will, by design. Here's how the team got there, step by step: ▸ Started narrow, with a single scenario, instead of a broad rollout ▸ Kept reps in control ▸ Measured results and evaluated agent behavior once the agents were live ▸ Added quality, evaluation, and confidence checks before removing any human review ▸ Made the call on autonomy jointly with the sales team, with controls and test data behind it ▸ Kept human review on the motions that should always have it CHAPTERS 00:00 Building AI outbound prospecting agents 00:07 Starting with one scenario and a human in every loop 00:37 Measuring results and earning the sales team's trust 01:06 Three to six months to remove human review 01:34 Why governance and speed work together, not against each other Done right, governance is how you go faster. #Celigo #EnterpriseAI #AIAgents #AIGovernance #HumanInTheLoop #SalesAI #GoToMarket #iPaaS #IntegrationPlatform