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AI-Powered Knowledge Retention and Onboarding Automation Platform

sphereinc.com

Financial services

Key Challenges Identified

PetroLedger faced critical institutional knowledge loss due to 40% of senior staff nearing retirement, with critical expertise undocumented and scattered. Manual onboarding processes required 8-12 months for new hires to reach proficiency, leading to high costs, compliance risks, and operational inefficiencies.

About the Client

Global financial services firm specializing in accounting, land administration, and regulatory reporting

Project Goals

Reduce onboarding time by 120% (to 3-5 months)
Achieve 90%+ institutional knowledge retention
Ensure 100% compliance with financial industry regulations
Reduce annual onboarding costs by $1.2M

Core Functional Requirements

Generative AI model for institutional knowledge retention
Interactive digital twin interface for training
Personalized onboarding pathways with real-time guidance
Integrated repository for policies, compliance guidelines, and workflows
SME-friendly dashboard for content updates
Audit-ready compliance tracking system

Technology Stack

Generative AI frameworks (e.g., LLMs)

Cloud-hosted architecture

SOC 2-compliant infrastructure

Natural Language Processing (NLP)

User behavior analytics

System Integrations

ERP systems (SAP/Oracle)
Training video repositories
Compliance management tools
HR information systems
Regulatory reporting platforms

Non-Functional Requirements

Enterprise-grade security and data encryption
High-availability cloud architecture
Scalable AI model training infrastructure
Real-time performance monitoring
Multi-tenancy support for global operations

Expected Business Impact

Implementation of the AI-powered Digital Twin platform is projected to reduce new hire ramp-up time by 120%, preserve 90% of institutional knowledge from retiring staff, and deliver $1.2M in annual cost savings through reduced rework and training expenses. The system will ensure 100% compliance with financial regulations while enabling enterprise-wide scalability during workforce transitions.