Quack offers a platform of trainable AI agents that autonomously resolve routine customer support tickets across ticketing systems, chat, email, and collaboration tools, while escalating complex cases to human agents. The solution includes AI‑driven quality assurance, real‑time Voice‑of‑Customer analytics, and automatic help‑center content generation, all integrated with existing workflows and compliant with regulated data requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Customer support teams often face high volumes of repetitive tickets, fragmented knowledge sources, and limited visibility into customer sentiment, which hampers efficiency and prevents proactive issue resolution.
Solution
Quack delivers a platform for trainable AI agents that can be specialized per domain or customer segment, enabling autonomous handling of routine inquiries while preserving the ability to escalate complex cases. The system integrates with existing ticketing, chat, email, and collaboration tools, allowing seamless adoption without replacing legacy workflows. Built‑in quality assurance combines AI scoring with human review to continuously refine response accuracy. Voice‑of‑Customer dashboards extract actionable insights from every interaction, turning support data into measurable improvement opportunities. The platform also auto‑generates help‑center content and enriches the knowledge base, reducing manual documentation effort.
Target Audience
The solution targets customer experience and support operations in mid‑size to enterprise organizations that manage high ticket volumes, multi‑language support, and regulated data environments.
Features
- Multi‑agent architecture: deploy separate, domain‑specific AI agents that learn from your top human agents and can be trained on custom datasets.
- End‑to‑end integration: native connectors for major ticketing systems, Slack, email, in‑app chat, and REST APIs for custom channels.
- Autonomous QA engine: AI‑driven ranking of responses with optional human validation, customizable scorecards, and 99 % alignment with human assessments.
- Smart trackers & analytics: real‑time VoC dashboards, trend alerts, and KPI visualizations to monitor support performance.
- AI‑generated help center: on‑demand article creation and knowledge‑base enrichment based on resolved tickets and identified gaps.
- Proactive escalation logic: confidence‑threshold checks and policy‑based routing ensure uncertain or out‑of‑scope queries are handed to human agents.
- Continuous feedback loop: QA results feed back into the training pipeline, automatically updating models to improve accuracy over time.
- Role‑based security & compliance: fine‑grained access controls and audit logs meet regulatory requirements for fintech, healthcare, and other sensitive sectors.