PUBLIC SECTOR - Nova Scotia Crown lending DTO Use CasE

Nova Scotia Crown Lending Agency (NSCLA) is responsible for delivering multiple financing programs to support economic development, operating across diverse client segments and funding structures with varying risk, cost, and return profiles. Like many lending organizations, NSCLA faced challenges with:

• Increasing demand for lending programs combined with heightened expectations for financial accountability, transparency, and effective capital deployment
• Limited visibility into end-to-end cost structures, resource utilization, and program-level financial performance across a complex portfolio of lending products

These constraints created a need for a more integrated, data-driven planning capability to support both operational execution and strategic financial decision-making. 

Key Problem Statement

NSCLA lacked a unified model to:

• accurately simulate demand volumes, application processing workloads, and associated staffing requirements across lending programs
• understand the true cost-to-serve at the program and client level, including the impact of administrative effort, risk assessment, and ongoing servicing activities
• evaluate the financial and operational implications of changes in funding levels, program design, or economic conditions before implementation
• move beyond manual, spreadsheet-based budgeting processes that limited scenario analysis and reduced confidence in financial forecasts

CBP-DTO Solution Approach

NSCLA utilized a Digital Twin of the Organization (DTO) using Collaborative Business Planning (CBP), supported by the QualiWare platform to create of a dynamic, constraint-based model representing their end-to-end lending processes. Key elements of the approach included:

• Modeling of key activities including application intake, adjudication, approval, funding, and ongoing portfolio management, capturing both operational workflows and cost drivers
• Integration of financial, operational, and staffing data from internal systems, supplemented by interviews and analysis of program delivery practices to ensure model accuracy and completeness 
• Configuration of the model to support scenario-based planning, enabling evaluation of funding allocation strategies, demand fluctuations, and staffing adjustments on both cost structures and service delivery performance

Key Capabilities Enabled by CBP

NSCLA needed a constraint-based model representing complex lending workflows and supporting scenario-based planning across a diverse portfolio of programs and client segments. Capabilities included: 

• End-to-End Operational Visibility
    Single integrated model providing transparency into lending workflows, resource utilization, and cost drivers across all programs
• Constraint-Based Planning
    Identification of bottlenecks in staffing, approval processes, and funding capacity impacting program delivery and turnaround times
• Scenario Simulation
    Ability to test alternative funding strategies, demand scenarios, and staffing models to understand impact prior to implementation
• Integrated Costing

           Activity-based planning linked directly to operational processes, enabling accurate cost-to-serve calculations and improved financial insight

• Cross-Functional Alignment

            Shared planning framework aligning finance, program management, and operations around a single source of truth

Quantified Business Benefits  

With a functional DTO operational in ~2 months, NSCLA gained the planning confidence and financial insight needed to support day-to-day operations and strategic decision-making. Benefits included:

• Reduced operational and administrative costs through improved process efficiency and resource alignment
• Improved capital and labour allocation decisions by directing funding toward higher-impact programs with clearer financial returns
• Increased accuracy and confidence in budgeting and forecasting processes including labour restructuring for the next fiscal
• Faster, data-driven decision-making supported by scenario-based financial and operational insights

Implementation Timeline: ~ 2 months to functional DTO

• Phase 1:  All-hands Lean Kaizen and Value Stream Mapping Workshop (1 week)
• Phase 2:  Resource and demand alignment discovery and data collection (3 weeks)
• Phase 3:  CBP-DTO model build and validation (3 weeks)
• Phase 4:  Scenario analysis and stakeholder alignment (2 weeks)