Identifying use cases for AI at work: We can automate… but should we?

Automate or Innovate? Unpacking AI’s Role in Business Efficiency and Human Trust

Mr. Yugbodh Singh, Founder of Tech Beat Canada, moderated a panel with Ms. Naomi Lariviere of ADP and Mr. Shane Franklin of Constant Contact. The discussion focused on identifying effective AI use cases in the workplace, questioning whether automation is always the optimal approach. They shared insights into their companies’ AI strategies, balancing technological advancement with essential human oversight and judgment.

Ms. Lariviere highlighted ADP’s success with natural language searching, which significantly reduced customer service calls by 110,000 monthly. ADP, serving over 1.1 million clients, including 900,000 small businesses, manages comprehensive HR functions. Their AI aims to simplify complex tasks, ensuring accuracy in critical areas like payroll, where errors cause significant frustration. The goal is for technology to perform reliably, allowing businesses to focus on core operations.

Mr. Franklin detailed Constant Contact’s long-standing AI integration, spanning over 15 years, primarily for email deliverability and compliance. More recently, AI assists small businesses in generating marketing content, tackling the “blank page problem.” Constant Contact processes 2 billion daily metrics, achieving a 98% email deliverability rate. This AI empowers users to craft effective messages while preserving their unique brand voice and adhering to complex regulations.

Both speakers stressed that AI development must be purpose-driven, focusing on solving real problems and delivering tangible customer outcomes, rather than adopting AI merely for its novelty. They reiterated that fundamental product development principles, centered on addressing user pain points, remain crucial. AI should enhance existing processes and serve a defined need, rather than being implemented as a standalone feature.

The panel addressed the critical aspect of trust and the potential for brand homogenization. Mr. Franklin assured that Constant Contact’s AI employs hyper-personalization, considering specific business goals and expertise to generate unique content. Users actively input their distinct voice, layering it over AI suggestions, ensuring authenticity. For critical decisions like hiring or promotions, Ms. Lariviere emphasized that human judgment and intervention are indispensable, despite AI’s data analysis capabilities.

Concerns about AI-induced “brain fog” and burnout were also discussed. Ms. Lariviere advised designing AI that is “fit for purpose,” seamlessly integrated into workflows to provide clear, correct answers. Mr. Franklin added that AI should reduce friction and focus on positive outcomes, always keeping a human in the loop for trust. While AI handles level-one support efficiently, Constant Contact retains human phone support for complex issues, offering personalized expert guidance.

Concluding the session, Ms. Lariviere highlighted the rapid pace of learning in the AI landscape. Mr. Franklin emphasized building flexible AI ecosystems and maintaining urgency, clarity, and accountability in development. Both speakers agreed that while AI offers immense potential for efficiency and innovation, human oversight, ethical considerations, and responsibility for the ultimate solutions remain paramount for successful and impactful implementation.