Airgentic is an AI customer service and sales engagement platform built around specialist AI agents. It is described as turning website questions into resolved outcomes by answering with citations, guiding decisions, completing approved actions, and bringing in a team when needed so visitors can take the right next step.
Its capabilities include conversational AI, task-specialist agents, site search, voice agents, customer insights, human override, human handoff, secure intranet services, and AI visibility tools. The platform says it combines search, AI answers, voice, and task completion in one experience, and it can recommend, capture, route, book, and complete approved next steps inside a conversation. It also provides curated answer control, escalation, and insight where nuance matters, along with tools labeled AI Visibility Optimiser and AI Visibility Monitor.
Airgentic names several use cases and audience groups. Solutions shown on the site include local government, higher education, manufacturers, and non-profits. Example specialist agents include a rates agent, a waste and recycling guide, an admissions concierge, a study pathways concierge, a fundraising coach, and a donation concierge. The site also says it can support public-facing websites, portals, and secure environments, and it can be deployed as a full-page overlay, a persistent assistant, or embedded prompts within pages. It mentions CMS integrations and says launch can happen with minimal setup, with typical rollouts taking days rather than weeks.
No pricing or license terms are stated in the provided material.
Airgentic is an Autonomous agents & workflows project. It focuses on automating customer service and sales engagement using AI agents to reduce manual workload. It is built as a B2B product for businesses seeking automated customer support and sales solutions. It runs on the web and API.
Airgentic first shipped in 2025. Among its 5 catalogued features are AI agents, customer support automation, and sales engagement. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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