Zenning - 2026 Pricing, Features, Reviews & Alternatives

Zenning is a cloud-based proactive AI platform that deploys autonomous AI agents natively inside Slack and Microsoft Teams, as well as via web, Mac, Windows, iOS, and Android apps. Rather than waiting to be prompted, Zenning monitors connected workflows in the background and initiates actions independently, covering recurring tasks such as inbox triage, report generation, follow-ups, document drafting, and cross-app automations. With connectivity to 3,000+ apps spanning CRM, data warehouses, communication, project management, and more, Zenning operates across the full breadth of an organisation's existing toolstack. On-premises deployment and EU-region hosting are available for organisations with data residency requirements, and the platform is SOC 2 Type II aligned, GDPR compliant, Cyber Essentials certified, with AES-256 encryption at rest and TLS 1.2+ in transit.

Zenning serves teams and organisations of all sizes, from small teams to enterprises, across industries including Legal, Healthcare, Finance, Marketing, Sales, HR, Engineering, Data and Analytics, Education, and Logistics. Core capabilities include AI Employees (autonomous agents handling recurring role-specific workflows), AI Chat Workspaces (secure, role-specific environments with granular permissions and real-time collaboration), Enterprise Search (cross-app search with cited source references), a Proactive Assistant (morning briefs, meeting prep, and ready-to-send drafts surfaced before being requested), and an AI Meeting Notetaker that transcribes, summarises, and converts action items into tasks. Additional capabilities include an AI Site Builder for generating internal tools and dashboards from plain-language descriptions, Scheduled Tasks for recurring automations, and a Custom App Builder that turns any API into a Zenning-compatible app.

Enterprise deployments gain access to SSO with SCIM provisioning, advanced permissions, audit logs, and custom data residency configuration. Pricing is credit-based and tied directly to work performed, with no hidden platform fees. User data is never used to train AI models, providing a clear data boundary for regulated industries and privacy-conscious organisations.