Automate customer support conversations and approved backend actions with Fini’s enterprise support agents.
Fini provides enterprise AI agents for customer support across chat, email and voice. The product combines answers from company knowledge with approved actions in connected systems. Its purpose is to resolve defined service requests while handing cases to human staff when the workflow or customer situation requires it.
Knowledge Atlas analyses support activity to identify gaps and help maintain the information agents use. Connected backend actions can support tasks such as refunds, account changes or bookings where configured. These permissions should be scoped to the organisation’s policies rather than giving an agent unrestricted authority over customer accounts.
Human handoffs preserve conversation context so staff can continue the case. The platform advertises integrations with major helpdesk and business systems, including Zendesk, Intercom, Salesforce and Stripe. Teams need to verify which actions and data are available through each specific connection.
Fini’s pricing combines a substantial base subscription with included resolution allowances and overage charges. Growth includes fewer resolutions than Scale, and voice or advanced capabilities can have additional conditions. An advertised per-resolution rate therefore does not represent the full subscription cost by itself.
Multilingual support, custom API actions and other advanced features are plan-dependent. The company advertises a conditional enterprise pilot, but that should not be described as an unrestricted recurring free plan. Performance claims and service guarantees must be assessed under the actual contract rather than repeated as universal outcomes.
Begin with a narrow request category and approved knowledge. Test ambiguous questions, failed backend actions and escalation behaviour. Review conversation quality alongside resolution counts, and confirm how billable resolutions are defined. Expand permissions only after support leaders can audit the resulting actions and recover from mistakes.
