Forethought is the most advanced generative AI agent for customer support and your 24/7 AI team member. Trained on your unique data sets and upholding the highest security protocols, Forethought delivers natural conversations through AI and eliminates inefficiencies to improve response times, resolution rates, and customer satisfaction scores at every interaction.
- Add an AI Agent that is a 24/7 team member, reducing workload so your team can focus on delivering exceptional support.
- Only Forethought ingests historical and current ticket data for AI specific to your business needs to deliver a personalized experience.
- We're not just about meeting privacy standards – we're setting them, to keep you and your data secure every step of the way.
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Customer experience shouldn't run on disconnected tools and static scripts. Dialpad Contact Center brings voice, digital channels, and human agents together in a single AI-native platform, built to act — not just record — on every customer interaction.
This is Agentic AI in practice: agents that reason through a problem, take the next step, and drive it to resolution without waiting on a human to intervene. Where legacy systems leave data trapped in silos, Dialpad Contact Center closes that gap, linking voice and data so context travels with the customer instead of getting lost between systems.
The payoff compounds. Dialpad has already generated over 775 million AI recaps, and each new interaction adds to a growing base of operational intelligence — sharper resolution paths, more productive agents, better outcomes quarter over quarter. None of it runs unchecked: Dialpad's Guardian layer keeps AI operations secure and governed, so intelligence scales without sacrificing oversight.
In practice, that means up to 80% of issues get resolved autonomously, freeing your team to focus on the conversations that genuinely need a human. Intelligence works at the edge; people stay at the center of the experience.
And you don't have to take the ROI on faith. Through Dialpad's Proving Ground, enterprises can validate performance and cost savings before rolling out at scale — a far more reliable path than betting on a brittle, rules-based bot.
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Viktor
Viktor is an AI-powered coworker built to live natively inside Slack and Microsoft Teams and handle complex tasks autonomously. Equipped with its own cloud computer, Viktor can write and execute code, build and deploy applications, analyze metrics, and manage workflows across more than 3,000 integrated tools. It proactively monitors systems, flags issues, and suggests actionable next steps instead of simply responding to prompts. Teams can request reports, create tickets, audit marketing campaigns, or retrieve analytics directly within Slack conversations. Viktor maintains persistent context over long-running projects, coordinating tasks and deadlines across multiple weeks. It connects seamlessly to platforms like Linear, PostHog, Google Ads, and other business tools to automate cross-functional operations. The agent drafts artifacts such as documents, issues, and updates for approval before execution. With both free and enterprise plans, Viktor scales to match team workload and automation needs. Security and workspace controls ensure safe collaboration within organizational environments. By combining autonomy, integrations, and persistent context, Viktor acts as a highly capable digital teammate embedded in daily workflows.
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MaxClaw
MaxClaw, developed by MiniMax, is a managed environment for AI agent deployment that enables users to quickly launch autonomous AI agents without the hassle of server configuration, infrastructure setup, or ongoing maintenance. Its primary goal is to streamline the creation and operation of intelligent agents by offering a continuously active environment where these agents can perform tasks, engage with various tools, and respond to inquiries without interruption. Additionally, MaxClaw is part of the larger MiniMax Agent ecosystem, which leverages sophisticated AI models designed for multi-step planning, reasoning, and executing tasks within intricate workflows. By eliminating the need for manual deployment of agent frameworks or cloud infrastructure management, users can effortlessly activate a fully operational AI agent in mere seconds, empowering the system to take on diverse tasks such as automation, research, content creation, coding, or data analysis. This advancement not only enhances efficiency but also opens up new possibilities for innovation within various industries.
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