Decagon enables 80% support reductions

An 80% support team reduction means Decagon is being bought as labor replacement, not as a nicer chatbot. The product takes over the repetitive work that used to require large groups of agents, answering open ended questions, looking up account data, and taking actions like refunds or subscription changes inside backend systems. That is why its pricing has shifted toward per resolution, because customers care about tickets fully closed without a human.

• The economic step change is large. AI support deployments are running around $0.99 to $1.50 per resolved issue, versus roughly $10 to $15 for human handled support, which is what makes big headcount reductions possible instead of just small efficiency gains.
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• Decagon is built for higher stakes support work, not just FAQ chat. It connects into systems of record so the agent can actually do the job, like updating customer info, processing refunds, canceling subscriptions, or handling disputes, which drives 70% to 75% automated resolution in deployed workflows.
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• This puts Decagon in a different lane from help desk incumbents like Intercom. Intercom bundles AI into a broader seat based support suite, while Decagon and Sierra are closer to AI-native BPO replacements, sold around outcome and headcount removal rather than agent seats.
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The next step is broader workflow capture across voice, onboarding, collections, and sales handoffs. As containment rises and agents handle more real actions across chat, email, and phone, the winners will look less like software that assists support teams and more like a new operating layer that absorbs the support org itself.