Scaling with Care: Digital Transformation at Parsis Immigration Services

Sumin song, Dan Kazakov, Aëlle Olier

Product #:W47335

Supplier:Ivey/Concordia

Discipline:Information Systems, Operations Management

Setting:Canada, 2025

Details:Case (PDF) • 7 pages • 2026-02-04

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AWARD WINNER - 2025 John Molson Business Ownership Case Writing Competition

Parsis Immigration Services (Paris), a boutique firm founded on personalized and ethical client care, has grown steadily in Canada’s competitive immigration consultancy sector. Rising demand and evolving client expectations have exposed the limitations of its manual processes and outdated customer relationship management system (CRM), creating risks of delays, inefficiencies, and compliance challenges. Facing industry-wide digital transformation, Parsis’s founder must decide how to modernize operations through a new CRM system with artificial intelligence (AI) capabilities while preserving the trust and high-touch service that define its reputation.

Learning Objectives

This case is suitable for courses in digital transformation strategy, business technology management, management information systems, operations management, entrepreneurship, and innovation management at the undergraduate or graduate level. It fits modules on how small service firms adopt technology to scale, improve efficiency, and stay competitive in a digital environment. Framed around a real decision, it engages students with CRM selection, system implementation under constraints, and AI integration in client services. It supports discussions on balancing technology adoption with service values, compliance, and growth, while emphasizing structured decision-making in digital infrastructure choices. After working through the case and assignment questions, students will be able to do the following:

Evaluate digital transformation decisions for small, service-based firms by identifying operational bottlenecks and assessing the strategic role of CRM systems and AI technologies.
Analyze and prioritize system requirements, including usability, scalability, compliance, integration, and cost-effectiveness, using structured frameworks such as fit-gap analysis and decision matrices.
Compare technology solutions under real-world constraints, balancing functional needs and business values such as personalized service and trust.
Assess the risks and opportunities of integrating generative AI and propose an implementation approach that aligns with the firm’s culture and long-term growth objectives.