#Perlucem.ai
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AWS SageMakerreduction in time required for complex financial decision-making.
increase in customer loyalty metrics due to hyper-personalized banking experiences.
boost in cross-selling and upselling revenue streams.
annual cost savings from optimized operational processes.
Global Financial Services Inc., a multinational banking corporation with $500B in assets, struggled with fragmented business intelligence systems that created significant operational inefficiencies. The bank's decision-making processes were hampered by data silos across departments, resulting in delayed risk assessments and missed opportunities for personalized customer offerings. Relationship managers spent an average of 15 hours weekly gathering information from disparate systems before making strategic decisions, while the risk management team faced a 72-hour lag in identifying emerging financial threats.
The bank implemented an agentic AI system that functioned as an autonomous intelligence layer across their operations. This system leveraged advanced AI agents with "chaining" capabilities in decision making, allowing them to:
1. Autonomously navigate across previously siloed data systems, gathering relevant information from transaction records, customer interactions, market data, and risk reports
2. Execute complete tasks through natural language-based inputs from banking professionals
3. Independently set goals, plan actions, and accomplish targets based on real-time financial conditions
4. Deliver hyper-personalized product and service recommendations based on comprehensive customer profiles
The agentic AI implementation connected previously isolated systems, enabling autonomous data collection, analysis, and proactive recommendations without constant human oversight.
Empower banking operations with agentic AI that autonomously integrates siloed data, streamlines decision-making, and delivers tailored customer experiences. Achieve faster risk assessments, improved customer loyalty, and operational cost savings while boosting cross-selling opportunities and enhancing financial intelligence.
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Optimize employee onboarding with a custom LLM and RAG-powered knowledge base. Deliver personalized training pathways, reduce time-to-productivity by 62%, improve knowledge retention, and free HR teams from repetitive tasks while enhancing employee satisfaction.
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Revolutionize education with customized LLMs and RAG-powered adaptive learning pathways. Deliver tailored experiences that improve student engagement by 38%, enhance knowledge retention, reduce dropout rates, and free instructors to focus on high-value interactions.
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Transform SaaS support with RAG-based AI, enabling instant ticket resolution and reducing response times by 87%. Automate complex query handling, enhance customer satisfaction, and cut operational costs through intelligent document retrieval and dynamic troubleshooting.
Maximize sales efficiency with agentic AI that automates lead qualification, personalizes outreach, optimizes pricing strategies, and monitors market trends. Achieve faster sales cycles, higher conversion rates, and increased deal profitability through intelligent automation.
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Streamline legal workflows with agentic AI that autonomously reviews contracts, flags risks, and ensures compliance. Reduce review time by 83%, improve accuracy, save millions in attorney time allocation, and accelerate case progression for better client outcomes.