Typewise Launched AI Platform for Customer Support
The new Nova platform enables businesses to automate support workflows using natural language policies.
Updated on Sept. 25, 2026 in Artificial Intelligence
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Typewise has launched Nova, an AI-driven platform designed to automate customer support workflows. The system allows companies to configure handling rules through plain-language instructions while maintaining human oversight for all operational changes.
Why it matters
The platform aims to mitigate operational inefficiencies caused by high support ticket volumes and manual triage costs. By allowing policy-driven automation, it seeks to standardize response quality across global support teams.
Nova structures ticket resolution costs by unit, where fully resolved tickets count as one unit and partial resolutions count as 0.5 units. Unresolved tickets incur no charges under the current fee structure.
The players
Typewise
A developer of AI-powered communication and automation tools focusing on enterprise support workflows and security-compliant text processing.
The details
The platform utilizes policy-driven AI, which allows users to define operational guidelines using natural language rather than complex code. Before deployment, Nova validates these workflows by running them against a company's historical ticket data to ensure performance stability. To maintain security, the system is fully ISO-27001 and GDPR compliant, requiring human approval for all rule changes and routing complex exceptions to human agents.
Timeline
September 25, 2026: Official launch of the Typewise Nova platform.
The Tech Race
Typewise Nova positions itself within the crowded enterprise support market by prioritizing policy-driven control over black-box automation. This approach aligns with the growing industry push for auditable AI frameworks that integrate directly with established security standards like ISO-27001.
Businesses can adopt the platform starting with a $99 monthly tier or scale up to a $2,000 monthly Business plan. Users will need to provide historical ticket data to train and test the system's workflows before deploying the automation.
The takeaway
Typewise provides a pathway for automating support without sacrificing human-led policy oversight. Potential users should monitor the system's performance on complex, non-standard tickets during the initial deployment phase to verify resolution efficacy.
Further reading
For broader trends in enterprise automation, see our coverage in Artificial Intelligence.
Source note: This article includes information reported by Dynamic Business.
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Do you trust AI-driven automation to handle customer support requests as well as a human?
