Budget: 2000 UAH Deadline: 3 days
🚀 Business Atlas: Expertise in High-load AI Systems
For projects of this scale, we act not just as developers, but as solution architects. Processing 300,000 minutes per month is a serious challenge for system stability, so my experience and the resources of our team are focused on building a fault-tolerant infrastructure.
Why we should implement this case:
1. Own High-load infrastructure: We do not use standard cloud solutions that will "eat" your budget on the OpenAI API. We deploy standalone servers with Whisper, which allows us to reduce transcription costs by 5-10 times while maintaining 99% accuracy.
2. Deep integration with amoCRM: We do not just "write comments," but create a digital scoring system. Each of the 5,000 deals receives an automatic rank, allowing your 60 managers to focus only on "hot" clients, increasing the sales department's conversion rate.
3. Experience in the Auto-Import niche: We understand the specifics of terms (auction fees, logistics, customs clearance). Our AI will be trained to distinguish objections specifically in your niche, rather than just performing a general analysis.
4. Team approach: The project involves a database architect, AI engineer, and systems analyst. This ensures that the system will scale with your business without failures.
Preliminary estimate:
• Development and launch of architecture: $3,000 – $4,500 (fixed for design, server setup, and integration).
• Implementation timeline: 25–40 working days (including the stage of training AI on your real calls).
Next steps:
I suggest conducting a technical audit of your current Ringostat records. This will allow me to calculate the exact server capacity needed to process 300k minutes without delays.
Message me privately, and I will send a detailed plan of how we will ensure stability under such a load. Shall we get started?