Why do AI apps cost money?
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Frequently Asked Questions
Why are AI apps so expensive when there are free tools available?
AI apps cost money because they require significant investments in compute, data, and infrastructure—especially for real-time processing and automation. While free tools exist, they often lack scalability and deep integrations, whereas custom AI systems deliver measurable value like saving 20–40 hours weekly on repetitive tasks.
Are paid AI apps worth it for small businesses?
Yes, when aligned with outcome-based pricing models that tie cost to measurable results like efficiency gains. SMBs using AI for automation in areas like invoice processing or lead scoring can achieve significant time savings and reduce operational bottlenecks.
What’s the difference between no-code AI tools and custom AI apps?
No-code platforms often have brittle integrations and limited scalability, relying on multiple third-party subscriptions. Custom AI apps, like those built by AIQ Labs, offer deep API integrations and are production-ready systems designed for long-term ownership and compliance.
How can I avoid unexpected AI costs as usage grows?
Start with usage monitoring—especially token consumption—and transition to tiered subscriptions when workloads stabilize. Scalable tools help prevent exponential cost increases and reduce the risk of vendor lock-in.
Can AI really save my team 20–40 hours a week?
Yes, custom AI workflows automating tasks like data entry and invoice processing can save teams 20–40 hours weekly by eliminating manual work and creating a unified, owned system instead of fragmented tools.
Why should I build a custom AI solution instead of renting an off-the-shelf app?
Custom solutions provide full ownership, scalability, and deeper integration with existing systems, avoiding the limitations of rented tools. They’re built to address specific operational bottlenecks and deliver long-term business outcomes like faster month-end closes.
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