Last reviewed: May 2026
Assistant AI in real-time for agents.
AgentAssist.ai (Uniphore) is an AI-powered real-time agent assist platform, offering capabilities in agent ai assist, post-call automation, and knowledge retrieval. It serves Agent supervisors, Training managers, Contact center leads in the customer support sector. The platform is particularly recognized for its live guidance and knowledge surfacing.
AgentAssist.ai (Uniphore) is best suited for agent supervisors, training managers, contact center leads. Enterprise pricing with dedicated support and custom deployment.
Official website: AgentAssist.ai (Uniphore)
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The platform is designed to address the specific challenges faced by Customer Support & Call Centers organizations. Key users include Agent supervisors, Training managers, Contact center leads who rely on the platform for agent ai assist, post-call automation, knowledge retrieval. In the rapidly evolving Customer Support & Call Centers landscape, AgentAssist.ai (Uniphore) stands out by combining real-time agent assist capabilities with industry-specific features that address the unique challenges of agent ai assist, post-call automation, knowledge retrieval. The platform enables Agent supervisors and Training managers to transition from manual, error-prone processes to automated, data-driven workflows that deliver consistent results at scale. Compared to alternatives in the real-time agent assist space, AgentAssist.ai (Uniphore) differentiates itself through its focus on Customer Support & Call Centers use cases, and Enterprise (custom pricing) that accommodates organizations at different stages of their AI adoption journey.
Before adopting AgentAssist.ai (Uniphore) or any Real-Time Agent Assist solution for your customer support & call centers workflows, it is important to assess how the platform fits your specific requirements. Start by mapping your highest-priority pain points — whether that is reducing manual tasks, improving data accuracy, scaling customer interactions, or accelerating time to insight. AgentAssist.ai (Uniphore) positions itself as a Real-Time Agent Assist solution, having been in the market since 2016, so evaluate whether its feature set directly addresses those pain points rather than relying on feature-list comparisons alone.
Request a live demo or proof-of-concept trial before committing to an annual contract. During the trial, measure concrete outcomes: task completion time, error rates, user adoption speed, and integration friction with your existing stack. Compare these metrics against at least two alternative vendors in the Real-Time Agent Assist space to establish a meaningful benchmark. AgentAssist.ai (Uniphore) uses a Enterprise (custom pricing) pricing model — make sure you understand the total cost of ownership including implementation, training, and any per-seat or usage-based fees.
Confirm deployment options meet your IT and compliance requirements. Verify what compliance certifications and data-handling guarantees the vendor provides, especially for regulated customer support & call centers environments. Also ask about the vendor's SLA for uptime, support response times, and the data export process should you decide to switch providers in the future.
AgentAssist.ai (Uniphore) is a Real-Time Agent Assist platform designed for customer support & call centers organizations. Assistant AI in real-time for agents.
AgentAssist.ai (Uniphore) scores 8.6/10 on AI Scanner's independent evaluation. The score reflects performance (30%), usability (25%), pricing value (25%), and versatility (20%). Scores are updated monthly based on product changes, user feedback, and competitive benchmarking across Real-Time Agent Assist tools. Read our full scoring methodology.
The top alternative to AgentAssist.ai (Uniphore) on AI Scanner is Cresta AI with a score of 9.1/10. Other alternatives include Balto AI, Cogito, Laxis AI. Compare all alternatives.
AgentAssist.ai (Uniphore) is designed for enterprise organizations. Its Enterprise (custom pricing) pricing model scales with team size and usage requirements. We recommend running a pilot with your actual workflows before committing to a full deployment.
AgentAssist.ai (Uniphore) uses a Enterprise (custom pricing) pricing model. For the most accurate pricing, request a custom quote directly from the vendor. Pricing may vary based on deployment scale, feature tier, and contract length. Always factor in implementation and training costs when comparing total cost of ownership against competitors.
How We Score: AI Scanner evaluates platforms across four dimensions - Performance (30%), Usability (25%), Pricing Value (25%), and Versatility (20%). Scores are updated monthly. Read our full methodology.