Your team said you'd give every customer a personalized experience. Six months later, you're still answering the same questions manually, your chatbot sounds like it was programmed by someone who's never spoken with a human, and this whole AI thing isn't working out.
The problem isn't AI. It's that you've been using the wrong tool.
An AI agent is software that understands goals, makes decisions, and takes actions, without someone pre-defining every possible scenario. Traditional chatbots follow decision trees. AI agents learn your brand voice, understand intent, and adapt responses based on context.
The difference shows up immediately. A chatbot recognizes "pricing" and triggers a canned response. An AI agent recognizes an engaged customer, understands their context, and guides them to the right case study — all in one conversational flow.
AI agents combine three capabilities: natural language understanding (grasping what people mean, not just keywords), contextual memory (remembering previous interactions), and action execution (scheduling demos, triggering email sequences, updating your CRM).
72% of companies already implement AI in marketing and sales operations. Three forces have converged: buyer expectations have shifted toward instant personalization, AI technology has matured with models like GPT-5, and platforms have emerged that enable agents without writing code. You no longer need machine learning engineers to build agents. Platforms like Anagram let marketing teams create agents in minutes, trained on your brand voice and product knowledge, without any technical knowledge.
The possibilities for using agents in marketing are endless. Here are a few ways teams are using them today.
Product recommendation agents analyze customer behavior and preferences to suggest relevant products, upsell opportunities, and personalized bundles. They keep help customers find the right fit for them without getting overwhelmed by choices.
Lead qualification agents engage visitors, assess fit and urgency, and route high-value prospects to sales. They ensure no lead slips through while freeing your team from unqualified inquiries.
Engagement agents deliver personalized content recommendations based on visitor needs, guiding prospects through your content library.
Even though these are some of the most common use cases for agents, they’re just a starting point. If you choose the right agent platform, you can test and iterate lots of ideas. The only limit is your imagination.
Not all agent platforms are created equal. Here's what separates the tools that actually work from the ones that create more work:
Quick deployment matters more than perfect features: Look for platforms that let you integrate your existing materials and start testing within hours, not weeks. If you need a development team to get started, you're looking at the wrong tool.
Brand consistency is non-negotiable: Your agent should sound like your company, not like every other chatbot on the internet. The best platforms learn your voice from your existing content and maintain that consistency across every interaction.
Specialization beats generalization: Rather than one do-everything agent, you want the ability to create focused agents for specific tasks. One agent that's great at lead qualification will outperform a general agent that's mediocre at everything.
Speed to deployment: Anagram lets you build agents in minutes by uploading your brand materials. The platform learns your voice and starts responding immediately.
Brand alignment: Anagram understands your products, brand voice, and customer context to deliver experiences that feel unmistakably yours — not like every other company's chatbot.
Flexibility: With Anagram, you create any number of specialized agents: one for lead qualification, another for product education, and a third for demo scheduling. Each can be optimized for its own specific goal.
Start with one high-impact use case. Many marketing teams choose product recommendation or lead qualification because they're closest to the sale. Gather your existing content — product docs, case studies, pricing guides, brand guidelines. You're teaching the agent what you already know.
Define success metrics before launch: conversion rate, demo booking rate, engagement time, etc. Launch with guardrails, letting the agent handle straightforward scenarios while escalating complex discussions to humans.
Remember that frustrated marketing team from six months ago, still manually answering the same questions? That doesn't have to be you. Try Anagram today and have a customized agent on your site in minutes.