PRE-BUILT, READY-TO-GO, AND COST-EFFECTIVE AI SOLUTIONS.
Use pre-built AI solutions, designed to handle repetitive tasks, streamline workflows, and boost efficiency. No technical expertise required.
Save time, cut errors, and focus on what matters. Explore all templates and find the perfect AI agent to simplify your operations.
Resolve incoming 'Where Is My Order' inquires automatically. Track shipments in real-time and deliver proactive updates.
Speed up scheduling, reduce manual effort, and deliver a frictionless booking experience.
Handle cancellation requests quickly and accurately. Move faster and prevent unnecessary shipments.
Let AI Agents handle returns. Sort requests, enforce policies, and send updates automatically.
Gather key customer profile details and first party data right from the first connection.
Provide real-time, personalized support to shoppers by helping with inspiration, item comparisons, and finding the right size and color.
Get your first agent up and running in no time. Thanks to our native integrations, setup is instant. Your package includes 500 customer sessions and is built to scale as you grow.
HALO is our powerful AI platform that helps you create smart, action-oriented agents for your business. You can choose from ready-made templates or design custom agents tailored to your needs.
With HALO, your AI agents don’t just respond; they get things done. Automate complex tasks and processes with ease, no coding required.
Start TodayLearn more about HALOThe holiday season is almost here, and it comes with the perfect opportunity to connect with customers in a personal and meaningful way. Messaging channels like WhatsApp, RCS, and SMS can help you create an unforgettable customer experience this Christmas. In this blog, you’ll discover how these channels can boost satisfaction and drive sales during the busiest time of the year.
More and more companies are rolling out AI agents that go far beyond generating content or answering simple questions. They handle customer requests, update systems, trigger workflows, and even complete transactions. This brings speed, efficiency, and relief from manual, repetitive work. But once AI starts doing instead of merely assisting, something fundamental shifts. You need more than clever technology. You need a clear way to stay in control of what it does, why it does it, and the limits within which it can operate. This is where AI governance comes in. Not as a tick-box compliance layer, but as a practical foundation that keeps AI predictable, explainable, and safe as it becomes more autonomous.
Black Friday is a huge shopping event, drawing crowds of eager shoppers hunting for deals. But once the rush fades, the real challenge begins: turning one-time shoppers into returning customers. Customer retention is vital for long-term success, and the period after Black Friday is the ideal moment to turn short-term excitement into lasting relationships. In this blog, you’ll learn how to keep customers engaged and coming back long after the rush is over.
Imagine customer inquiries being answered 24/7 without wait times, automatic updates on delayed orders, or fully digital shopping assistants guiding customers from browsing to purchase. These are just a few examples of what Agentic AI can achieve. In this article, CM.com’s Marketing Lead AI & SaaS, Sander Harryvan, and Product Marketer, Tom Faas, share their insights on where businesses currently stand in adopting Agentic AI, what the next phase looks like, and why Agentic AI will have a profound impact on the way we do business in the coming years.
Artificial Intelligence (AI) has been in development for decades, but the way we use it today has changed dramatically. With the advent of ChatGPT and other applications, AI has suddenly become tangible for the general public. While it was previously used primarily for specific, often invisible applications (think fraud detection in banking or predictive maintenance in industry), it now actively assists in content creation, enhancing customer experiences, and streamlining processes. Within customer experience, three forms of AI are particularly relevant: generative, agentic, and predictive AI. In this article, we’ll break them down and explain how to leverage them effectively.
The insurance industry is known for its complex processes and heavy administrative load. Fragmented communication, outdated systems, and complicated policy conditions mean that finding the right information or processing changes often takes far longer than it should. AI agents can change that. They answer questions, pull real-time data from internal systems, and seamlessly trigger processes.
In today’s competitive global real estate market, agencies are flooded with inquiries on listed properties. Buyers expect instant answers about availability, pricing, and next steps — often outside office hours. For real estate agents, this creates a heavy workload: handling repetitive questions, scheduling viewings, and informing disappointed buyers when a property is already sold or oversubscribed. Without automation and smart workflows, agencies risk being overwhelmed, leading to frustrated buyers and missed opportunities for meaningful interactions. HALO, CM.com’s AI-powered engagement platform, helps real estate companies streamline these processes. AI agents work 24/7, provide human-like responses, and handle routine tasks instantly. This frees agents to focus on what matters most: building relationships and guiding serious buyers through the transaction.
The live events industry - from sports matches to festivals and concerts - is under pressure. Fans demand more, technology evolves constantly, and internal teams are stretched thin. In this shifting landscape, AI agents aren't here to replace people, but to amplify them - bringing structure, speed, and clarity where it's needed most.
AI agents aren’t just shaping the future they’re transforming how companies serve and connect with their customers right now. From answering service requests instantly, to guiding shoppers through a purchase, to spotting upsell opportunities in real time, the question is no longer if you should implement AI, but how quickly you can put it to work.
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