How proAgent outperforms Skit.ai in omnichannel collections
ProAgent is built specifically for collections, making it the ideal agentic solution for the consumer finance and collections industry
Compare Prodigal to Skit.ai:
Features
Model training and awareness
Combines specialized models fine-tuned for collections, ensuring smarter, secure, and context-aware interactions throughout all collections interactions
General LLM with focus on understanding complex interactions and conversational nuances
Intelligence architecture
Powered by our proprietary PIE engine, which connects seamlessly with your systems to learn, adapt, and understand the full context of your business - from policies and products to regulations and consumer insights - just like a human agent.
Employs Agentic AI that operates independently, continuously learning and optimizing without human oversight
Domain expertise
Trained on the largest, most specialized dataset in collections and consumer finance, proAgent understands the nuances of collections calls, industry regulations, and domain-specific terminology and concepts
Broader conversational AI application that has been adapted for collections use cases
Data foundation
Trained on the largest, most specialized dataset in collections and consumer finance, proAgent understands the nuances of collections calls, industry regulations, and domain-specific terminology and concepts
Uses general LLM technology focusing on context understanding and sentence parsing
Company specific understanding
Learns company-specific nuances by analyzing your entire call corpus, QA scorecards, feedback, and incentive structures, just like a human agent in training. Built on our PIE engine, it also integrates regulations, policies, and guidelines into a centralized knowledge base to ensure compliance and context-aware conversations
Unclear setup process and appears to lack deep, tailored learning. Setup similar to a generic voice agent
AI guardrails
Transparent, state-based architecture with clear guardrails to prevent the AI agent becoming a 'black-box'
Unclear inner workings and no mention of any explicit guardrails
What our customers say
Collect more, now.
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