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feat: add FAQ about tasks suited for AI agents #46

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4 changes: 3 additions & 1 deletion content/services/ai-agents.mdx
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Expand Up @@ -38,14 +38,16 @@ relatedExpertise:
- backend-development
- ai-security
faqs:
- question: "What's the difference between an AI agent and a chatbot?"
- question: "What is the difference between an AI agent and a chatbot?"
answer: "Chatbots respond to queries. Agents take action. An AI agent can research information, update databases, send emails, schedule meetings, and execute multi-step workflows autonomously—not just suggest what you should do."
- question: "How do you ensure AI agents are safe in production?"
answer: "We implement multiple safety layers: action constraints that limit what agents can do, sandboxed execution environments, approval workflows for sensitive actions, comprehensive logging, and rollback capabilities when things go wrong."
- question: "Can AI agents work with our legacy systems?"
answer: "Yes. Our engineers specialize in building integration layers that connect modern AI capabilities with existing enterprise systems—even those without modern APIs."
- question: "How long until we have a working agent?"
answer: "Most clients see a working prototype within the first week. Production deployment typically takes 2-4 weeks, depending on the complexity of your workflows and integration requirements."
- question: "What kind of tasks are best suited for AI agents?"
answer: "AI agents excel at tasks that are repetitive but require judgment—research and data gathering, document processing, customer inquiry routing, lead qualification, and multi-system workflows. If a task involves multiple steps, uses several tools, and currently requires human decision-making at each stage, it's a strong candidate for an AI agent."
cta:
title: "Ready to Deploy AI Agents?"
description: "Talk to our team about automating your complex workflows with AI agents. We'll show you what's possible—and what's production-ready today."
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