Salesforce has introduced Agentforce Help Agent with a pay-per-resolution pricing model, enabling businesses to deploy AI customer service agents that charge only for completed resolutions.
Salesforce, a global provider of customer relationship management (CRM) software and AI-powered enterprise solutions, has launched Agentforce Help Agent, the latest iteration of its Agentforce platform, introducing a pay-per-resolution pricing model that allows organisations to deploy AI customer service agents in minutes while paying only for successfully resolved customer issues.
The new offering is designed to address practical challenges around enterprise AI adoption through three core capabilities. The pay-per-resolution model charges customers only when the AI agent autonomously resolves an issue from start to finish. If a customer requests human escalation or provides negative feedback, no charge is applied, and the agent transfers the complete customer context to the service team. Data 360 and Agentforce also remain unmetered during the interaction.
Agentforce Help Agent is built on Salesforce Knowledge and can connect to existing knowledge bases, workflows and service channels within minutes. Users can also upload files or provide website URLs for crawling. Built on the Agentforce Platform and Data 360, the solution uses customer context to support actions ranging from order management and appointment scheduling to agent testing through a preview pane before deployment.
The platform also includes pre-packaged actions to simplify deployment. Agentforce Help Agent works across voice, web, portal and messaging channels from a single interface, enabling organisations to answer customer queries, manage cases, and extend capabilities such as account management, appointment scheduling and order management without complex system integration.
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“The promise of AI agents in customer service isn’t just about answering questions faster; it’s about resolving issues completely, across any channel, the first time and every time. Built on our deeply unified, secure-by-design platform, it delivers a personalised, proactive omnichannel experience that is even easier to set up. And with our pay-per-resolution pricing, our success is directly tied to our customers’ success,” said Kishan Chetan, EVP and GM of Agentforce Service, Salesforce.
The introduction of outcome-based pricing reflects a broader shift in how AI services are being commercialised. Rather than charging for software access or usage, organisations increasingly prefer pricing models based on successful business outcomes. However, industry analysts note that measuring what constitutes a “resolved” customer issue may become more complex when interactions involve escalations, reopened cases or incomplete resolutions.
The announcement follows Salesforce’s US$3.6 billion acquisition of Fin, formerly part of Intercom. The AI customer service platform serves more than 30,000 SMEs globally and provides autonomous AI service agents powered by its proprietary Apex model. Salesforce said the acquisition will strengthen its AI agent capabilities, helping organisations improve autonomous resolution, reduce service costs and accelerate AI adoption across customer service operations.
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