Which approach best describes TELUS's vendor selection process for CX/AI platforms?

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Multiple Choice

Which approach best describes TELUS's vendor selection process for CX/AI platforms?

Explanation:
For selecting CX/AI platform vendors, you want a structured, evidence-based approach that moves beyond just claims or price. Start by defining clear requirements based on how the platform will impact customer experience, operations, and data governance. Then evaluate potential vendors against a scorecard that converts those requirements into measurable criteria—such as performance, scalability, reliability, and support. Next, run pilots or proof-of-concept deployments to validate how the platform behaves in real workflows, with real users, and within your existing tech environment. Finally, assess practical considerations like security and data privacy, interoperability with your current systems, and the total cost of ownership over the platform’s life cycle, including licensing, implementation, maintenance, and potential migration costs. This approach is best because it introduces objective criteria, real-world validation, and a clear view of ongoing costs and risk. Relying solely on regulatory compliance ignores how well the solution actually performs, integrates, or improves customer experiences. Skipping pilots and marketing-driven selections can lead to misaligned capabilities and hidden risks. Focusing only on the cheapest option neglects long-term costs and potential integration challenges. By defining requirements, using a structured scorecard, validating with pilots, and weighing security, interoperability, and TCO, you get a robust, defendable decision that fits with current systems and future needs.

For selecting CX/AI platform vendors, you want a structured, evidence-based approach that moves beyond just claims or price. Start by defining clear requirements based on how the platform will impact customer experience, operations, and data governance. Then evaluate potential vendors against a scorecard that converts those requirements into measurable criteria—such as performance, scalability, reliability, and support. Next, run pilots or proof-of-concept deployments to validate how the platform behaves in real workflows, with real users, and within your existing tech environment. Finally, assess practical considerations like security and data privacy, interoperability with your current systems, and the total cost of ownership over the platform’s life cycle, including licensing, implementation, maintenance, and potential migration costs.

This approach is best because it introduces objective criteria, real-world validation, and a clear view of ongoing costs and risk. Relying solely on regulatory compliance ignores how well the solution actually performs, integrates, or improves customer experiences. Skipping pilots and marketing-driven selections can lead to misaligned capabilities and hidden risks. Focusing only on the cheapest option neglects long-term costs and potential integration challenges. By defining requirements, using a structured scorecard, validating with pilots, and weighing security, interoperability, and TCO, you get a robust, defendable decision that fits with current systems and future needs.

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