Building the Next Generation of Agentic Systems in Collections
Our Research
Pinakyne is revolutionizing debt recovery through advanced AI systems that transform how financial institutions connect with customers. Our research focuses on developing intelligent agents that negotiate payment plans, navigate regulations, and adapt communication strategies to individual circumstances.
Our research directly translates to measurable business outcomes: higher recovery rates, reduced compliance violations, and significantly lower operational costs. This positions Pinakyne at the forefront of technological innovation in financial services.
Research Focus
Agent Architecture Research
We've developed specialized agent architectures for debt collection that maintain persistent memory across multiple customer interactions. These systems adapt to various financial constraint scenarios with contextually appropriate response patterns, resulting in significant retention of key information across interactions.
Our voice agents understand and respond to numerous financial situations with appropriate tone and solutions, leading to substantially higher resolution rates on first contact.
Multi-Agent Coordination
Our orchestration systems intelligently route cases between specialized AI modules based on individual debtor profiles and history. This significantly reduces unnecessary transfers and improves first-contact resolution rates. The system maintains highly synchronized information across all collection touchpoints.
We've developed sophisticated prioritization logic that balances customer experience with collection goals, leading to improved customer satisfaction scores alongside enhanced recovery rates.
Channel Optimization
Our AI research has developed optimal contact time selection algorithms that significantly improve reach rates across all demographic groups. The system intelligently identifies and utilizes the most effective communication channels based on customer preferences and response patterns, greatly enhancing long-term engagement.
We've created unified messaging strategies that maintain consistent communication tone and content across text, voice, email, and app notifications, enhancing the customer experience while improving collection performance metrics.
Agent-to-Agent Interaction Model
Our approach to debt collection uses a sophisticated coordination layer that allows different specialized AI agents to collaborate effectively, combining their areas of expertise to provide optimal customer experiences.
Knowledge Exchange
Agents share contextual information about customers and debt profiles to build a comprehensive understanding that informs optimal interaction strategies.
Strategic Coordination
Multiple agents coordinate activities to execute complex collection strategies, with centralized orchestration ensuring coherent customer experiences.
Adaptive Learning
The agent network continuously improves through shared experiences, applying learnings from each interaction across the entire system.
Pinakyne