Dialpad Support
Dialpad Support stands as an advanced AI-driven contact center solution that equips agents with immediate resources to surpass customer expectations. By utilizing self-service virtual agents and AI chatbots, it addresses routine inquiries efficiently, which not only shortens resolution times but also allows human agents to dedicate their efforts to more intricate problems. The platform includes live coaching through AI-enhanced scorecards and actionable insights, facilitating managers in assessing agent performance, providing real-time assistance during calls, and fine-tuning workflows. With integrated Contact Center AI, it evaluates voice and chat sentiment to identify areas of friction, while user-friendly dashboards and immediate analytics monitor essential metrics like average handling time, customer satisfaction scores, and accuracy in forecasting. Furthermore, seamless integrations with platforms such as Salesforce, Zendesk, Microsoft Teams, Google Workspace, and HubSpot consolidate customer interaction history and data. Its dual-cloud infrastructure guarantees enterprise-level resilience, boasting a 100% uptime service level agreement alongside robust disaster recovery solutions, ensuring uninterrupted service for users at all times. Ultimately, Dialpad Support not only enhances operational efficiency but also fosters stronger relationships between agents and customers.
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Assembled
Assembled combines AI agents with advanced workforce management to give support teams the speed, flexibility, and control they need to excel. Our platform streamlines staffing for both in-house and outsourced teams, delivers forecasts with over 90% accuracy, and automates more than half of customer conversations. Whether it’s chat, email, or voice, Assembled orchestrates every interaction, allocating work between AI and human agents in real time. Leading brands like Stripe, Canva, and Robinhood rely on Assembled to boost performance and turn support into a growth driver. Key capabilities include scheduling, forecasting, live performance monitoring, vendor management, AI-powered chat, voice, and email agents, plus an AI Copilot that provides instant guidance, suggested responses, and rapid action tools for agents.
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Dhisana AI
Dhisana AI provides innovative automation solutions throughout the entire revenue funnel, revolutionizing workflows for revenue teams into self-sustaining, continuously operational systems through its unique Cognitive Architecture, which integrates large language models with planning and reasoning capabilities, while incorporating human-in-the-loop safeguards. Central to its functionality are Agentic Flows that streamline essential processes like account discovery by aggregating information from various data sources to create optimal customer profiles; lead prioritization through real-time assessments of fit, intent, and engagement; adaptive outreach that generates tailored messages and schedules them based on current signals; meeting intelligence that assembles detailed briefs with insights from stakeholders; and conversation intelligence that records calls, emphasizing pain points, competitor references, and sentiment analysis. Additionally, Dhisana enhances user experience with intent intelligence that notifies teams about buyer signals, accelerates deals by suggesting next-best actions, and provides thorough research insights, ensuring that revenue teams have all the tools they need to succeed. With such comprehensive features, Dhisana AI empowers teams to operate more efficiently and strategically in a competitive landscape.
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intelo.ai
Intelo.ai is a collaborative intelligence Software as a Service (SaaS) platform tailored for retail merchandising and planning tasks, utilizing a network of specialized AI agents to streamline complex workflows and enhance decision-making throughout the retail lifecycle. The platform integrates multiple AI agents directly into various business processes, including merchandise financial planning, assortment strategy, allocation planning, and in-season optimization, empowering teams to transition from manual spreadsheets and disjointed systems. By consolidating data from various enterprise systems and utilizing machine learning techniques, Intelo.ai enables retailers to more accurately forecast demand, minimize excess inventory, boost sell-through rates, and refine pricing and promotional strategies. Moreover, it offers a conversational and transparent user interface that allows users to engage with AI agents for actionable insights, recommendations, and automated execution, moving beyond the limitations of static dashboards. This innovative approach not only enhances operational efficiency but also fosters a data-driven culture within retail organizations.
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