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Keep Your Contact Center AI Stack Flexible Without Vendor Lock In - Content Guru
Picking the wrong AI vendor today could set your contact center back for years.
That’s the core message from Rhys Harris, Product Director of AI at Content Guru, who joined CX Today to break down why flexibility needs to be baked into every AI decision — not bolted on later.
The conversation covers a lot of ground. Harris draws a direct parallel between the mistakes organizations made during the cloud migration era and the trap many are sleepwalking into now. Over-reliance on a single provider, opaque consumption pricing, and contracts that couldn’t accommodate change all created what he calls “cloud regret.” The same dynamics are already playing out in AI.
On the question of what actually separates a genuinely multi-vendor strategy from one that’s just multi-vendor on paper, Harris is blunt: compliance and governance assurance, swappable AI models that can adapt to different languages and use cases, and vendor-agnostic orchestration. Organizations that treat these as checkbox features rather than real requirements will feel it.
He also pushes back on the rush to deploy. Forbes data already shows 25% of tech leaders have invested in AI too quickly, and Harris argues the root cause is almost always the same.
“A lot of organizations have just tunneled into taking a purely AI strategy without thinking about the outcomes. And I think the decisions that people will make is not about the technology but about the outcomes that they were looking to achieve first.”The bottom line: what works today won’t necessarily work tomorrow, and the vendors worth betting on are the ones who can move with you.
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By CXToday.com
5
11 ratings
Picking the wrong AI vendor today could set your contact center back for years.
That’s the core message from Rhys Harris, Product Director of AI at Content Guru, who joined CX Today to break down why flexibility needs to be baked into every AI decision — not bolted on later.
The conversation covers a lot of ground. Harris draws a direct parallel between the mistakes organizations made during the cloud migration era and the trap many are sleepwalking into now. Over-reliance on a single provider, opaque consumption pricing, and contracts that couldn’t accommodate change all created what he calls “cloud regret.” The same dynamics are already playing out in AI.
On the question of what actually separates a genuinely multi-vendor strategy from one that’s just multi-vendor on paper, Harris is blunt: compliance and governance assurance, swappable AI models that can adapt to different languages and use cases, and vendor-agnostic orchestration. Organizations that treat these as checkbox features rather than real requirements will feel it.
He also pushes back on the rush to deploy. Forbes data already shows 25% of tech leaders have invested in AI too quickly, and Harris argues the root cause is almost always the same.
“A lot of organizations have just tunneled into taking a purely AI strategy without thinking about the outcomes. And I think the decisions that people will make is not about the technology but about the outcomes that they were looking to achieve first.”The bottom line: what works today won’t necessarily work tomorrow, and the vendors worth betting on are the ones who can move with you.