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Telus using AI to alter the accents of customer-service agents

Telus Digital has deployed real-time accent-alteration technology supplied by Tomato.ai to modify the speech of customer-service agents during live calls, framing the capability as a means to improve clarity and reduce "accent-related friction." The technology encodes an agent's voice, modifies pronunciation features, then decodes the audio back, ostensibly preserving identity and emotional tone whilst addressing mispronunciations. Telus Digital is already using the service internally across its global operations, including between Canadian and offshore agents, though deployment status with external telecom customers remains unclear. The company has not publicly commented on the initiative, and competitors Rogers and Bell have both stated they do not use such technology.

The implications for CX teams are substantial and multifaceted. Labour representatives have flagged the technology as deceptive—union officials argue it masks the geographic origin of agents without customer knowledge, fundamentally altering customer perception of who they're speaking with. This raises a critical question: as organisations increasingly deploy AI to optimise operational metrics, where does the line sit between legitimate efficiency gains and customer transparency obligations? The concern extends beyond accent masking itself; it reflects broader anxiety about AI's role in reducing human touchpoints and obscuring the true composition of support teams. For teams already managing offshore or distributed agent networks, this technology presents a tempting efficiency play, yet introduces reputational and ethical risks that may outweigh operational benefits.

The debate also exposes a tension in how CX leaders should evaluate emerging AI capabilities. Industry advocates argue the focus should remain on outcomes—faster resolution times, reduced wait times, lower operational costs—rather than the mechanisms by which those outcomes are achieved. However, the Telus case demonstrates that mechanism matters significantly when it involves deliberate alteration of how customers perceive agent identity. For CX professionals evaluating similar tools, the question becomes whether optimising for speed and cost efficiency justifies obscuring the reality of your support operation, particularly in regulated sectors like telecommunications where customer trust is already fragile.