The implementation process for CoSupport AI is designed for speed and simplicity, featuring a no-code setup that allows organizations to define the agent’s behavior, tone, and conversation logic quickly. After defining the agent, users connect their existing data sources, such as knowledge bases or internal documentation, to properly train the system. This training phase is followed by a testing simulation to fine-tune the performance before a seamless launch across all desired customer-facing platforms. Real-world metrics from early adopters show dramatic improvements, such as reducing average resolution time from two hours down to just six minutes and automating over 80% of incoming support requests.
CoSupport AI offers flexible and transparent pricing models tailored to various support team needs, including resolution-based, server-based (unlimited replies), and response-based options, ensuring companies only pay for the services that align with their volume and performance goals. Security and compliance are central to the platform's architecture, boasting ISO 27001 certification, along with GDPR and CCPA compliance, utilizing features like dedicated servers and data anonymization. This focus on robust data protection, combined with high-accuracy models resistant to common issues, makes it suitable for diverse, regulated industries like financial services and BPO firms seeking scalable, secure automation.
