Swish

Swish.ai is a web-based agentic AI platform positioned as a performance intelligence layer on top of existing IT Service Management (ITSM) systems. Rather than replacing an incumbent ticketing system, it analyzes IT service data and applies AI agents to reduce ticket volume, speed resolution, and detect incidents earlier. The product set described by a third-party software directory includes a Self-Serve AI Agent that identifies user intent and retrieves answers from the enterprise knowledge base so employees can resolve issues without opening tickets; an Orchestrator AI Agent that routes and assigns incoming tickets in real time to the most skilled and available agent; an MI (major incident) Detection Agent, also described as a Spike Detector, that uses real-time anomaly detection plus historical analysis to surface emerging major incidents; and an Advisor AI Agent that produces predictive analytics and recommendations for IT leadership from real-time and historical data. Listed capabilities span analytics and reporting, escalation management, a self-service portal, SLA management, queue management, knowledge base, automated responses and chatbots, ticket management, live chat and omnichannel support. The platform is English-language only, offers an API, and has no dedicated mobile app.

The swish.ai domain now serves content for Unframe AI and carries a notice that Swish AI is part of Unframe. Unframe is presented as a managed enterprise AI transformation platform delivering production-grade AI solutions, structured around an Agent Orchestrator with guardrails and observability, a Knowledge Fabric that converts fragmented enterprise data into AI-ready context, an AI-native data store that continuously synchronizes data across systems, applications and APIs, and modular building blocks. Its stated delivery model is to start with a single use case, deliver a solution in days and business impact in weeks, then scale to additional use cases that reuse shared context. Deployment is described as occurring within customer enterprise boundaries with governed, auditable and traceable AI.

Business model

Software sold to enterprises with custom pricing tailored to each organization's required features and capacity; no public price list is published. The successor Unframe offering is described as a managed, delivered AI solution engagement rather than self-serve software, and includes a reseller/partner channel.

Custom, quote-based enterprise pricing according to a third-party software directory; no published list pricing or disclosed revenue figures.

Traction

A third-party directory names HOLCIM, Pacific Life and Intel as customers and cites SOC 2 Type II and GDPR compliance, but carries no user reviews. The Unframe-branded site lists customer testimonials from Cushman & Wakefield, NZZ, Climb and others, and cites outcomes such as 40% lower record storage and retrieval cost at a global bank and a 30% reduction in supply-driven stock-outs at a Fortune 500 manufacturer; these figures are self-reported by the vendor and not independently verified.