Stop flying blind with your AI agents—Fluq gives you real-time visibility and control over every autonomous workflow your business runs, so you can catch problems before they cost you money.
Fluq is a monitoring and control platform built specifically for businesses running AI agents—whether that's customer service bots, data processing workflows, or autonomous marketing tasks. Instead of deploying an AI agent and hoping it works, Fluq lets you watch what it's doing in real time, step in when needed, and maintain complete oversight of autonomous operations. For small business owners scaling up AI automation, this means you can confidently put AI to work without losing control or creating costly mistakes.
The platform connects to your existing AI agents and gives you a centralized dashboard to monitor performance, catch errors, and adjust behavior on the fly. You'll see exactly what decisions your AI is making, where it's getting stuck, and whether it's actually delivering the results you paid for. This is especially valuable if you're running multiple AI workflows—you're not checking five different tools or scrolling through logs; everything's in one place.
E-commerce businesses automating customer support and order processing; digital agencies managing client workflows with AI; customer service operations running chatbots and support agents; marketing teams using AI for campaign automation; professional services firms automating document review or research tasks; and any small business deploying multiple AI agents across different departments.
Pricing information available on request at their website; typical SaaS model with tiered plans based on number of agents monitored and API calls.
Fluq pays for itself by preventing expensive AI mistakes and reducing the time your team spends babysitting automated workflows. A typical small business running three or four AI agents can save 5–10 hours per week on monitoring and manual fixes, worth $250–$500 in labor costs alone. Beyond time savings, the visibility prevents costly errors—catching a misconfigured customer service bot before it generates refund requests, or stopping a data automation job before it corrupts your customer database. Most teams see a 20–30% improvement in agent reliability after implementing proper monitoring and control, which directly impacts revenue and customer satisfaction.