Ivah

Paid

Ivah: The enterprise AI copilot for faster, smarter, secure customer support.

#enterprise-grade#customer service#AI platform#real-time agent assist#omnichannel workflows#automation#contact center#back office#AI layer#centralized data#resolutions#AI copilot#end-to-end processes#analytics#human-in-the-loop controls#enterprise security

Type

Saas

Company

Ivah

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About Ivah

Ivah is an enterprise-grade customer service AI platform that unifies real-time agent assist, omnichannel workflows, and secure automation across your contact center and back office. Designed as a single AI layer over existing systems, Ivah centralizes data, accelerates resolutions, augments agents with an AI copilot, orchestrates end-to-end processes, and delivers continuous analytics—all with human-in-the-loop controls and enterprise security to scale confidently across teams and regions.

Key Features

Integrated AI platform that centralizes data into a unified environment

Real-time Agent Assist with next-best actions and knowledge surfacing

Automation of back-office and knowledge work (summarization, research, documents)

Omnichannel support and workflow orchestration across calls, chats, and tickets

Enterprise-grade security and compliance focus for sensitive environments

Customizable AI use cases tailored to different teams and processes

Analytics and insights on operational performance and customer interactions

Human-in-the-loop controls to keep people in charge of outcomes

Scalable enterprise deployment that integrates with existing systems

Outcomes-driven design focused on measurable business results

Best For

Support leaders: Reduce average handle time and improve first-contact resolution with real-time agent guidance and automated after-call work.Contact center agents: Get next-best actions, compliant responses, and instant knowledge surfacing during live calls and chats.Operations managers: Automate repetitive back-office tasks—summaries, research, and document handling—to boost throughput.Quality & compliance teams: Gain insights and auditability across interactions while keeping humans in the loop for final decisions.Knowledge managers: Centralize and continuously improve knowledge with analytics on content usage and effectiveness.IT & platform owners: Integrate AI into existing CRMs, CCaaS, and ticketing systems and scale securely across the enterprise.Digital & self-service teams: Deploy multilingual virtual assistants and integrate chatbot + live chat for seamless handoffs.WFM & routing teams: Use intent and sentiment to route and prioritize cases to the best agents and workflows.Customer success leaders: Orchestrate proactive outreach and assist agents with upsell and retention workflows across channels.Analytics & CX teams: Monitor performance metrics and uncover insights to continuously optimize processes and experiences.