AI is changing too quickly for static decisions. With models, vendors, and regulations shifting rapidly, buyers need to evaluate more than capability at the point of purchase.\u00a0<\/p>\n
They need to understand how their\u00a0AI\u00a0choices\u00a0now\u00a0will hold up over time.\u00a0<\/p>\n
As adoption accelerates, the structural risk of committing to an AI approach that cannot evolve is growing. That risk is already playing out in early deployments.\u00a0<\/p>\n
As\u00a0Rhys Harris,\u00a0AI\u00a0Product Director\u00a0at Content Guru, explained to\u00a0CX Today, the real issue is not only performance:\u00a0<\/p>\n
\u201cThe real cost is not being able to adapt quickly enough.\u201d\u00a0<\/p>\n
The six questions below are designed to pressure-test flexibility, governance, and commercial reality before commitment.\u00a0<\/p>\n
1. Can We Swap AI Providers Without Changing Our Underlying CX Platform?<\/p>\n
Flexibility starts with architecture. If AI capabilities are tightly embedded into workflows or platforms, switching later becomes expensive and disruptive.\u00a0<\/p>\n
Harris emphasized that change is inevitable and systems should be designed accordingly:\u00a0<\/p>\n
\u201cEven if you look at the transition to cloud, having the correct infrastructure, the correct resilient foundations of the product that you\u2019re providing is as important in certain cases as the functionality.\u201d\u00a0<\/p>\n
In practice, this means vendors should support interchangeable components across the stack, not just offer integrations on paper.\u00a0<\/p>\n
\u201cOur customers can swap out the provider that they need for different segments of the customer journey\u2026 without disrupting services,\u201d\u00a0Harris\u00a0said.\u00a0<\/p>\n
If switching requires re-platforming or major redevelopment, lock-in risk is already present.<\/p>\n
2. Are We Locking in Parts of the Journey?<\/p>\n
Lock-in rarely begins with high-profile deployments. It often starts with smaller, internal use cases\u2014agent assist, QA, analytics\u2014before expanding outward.\u00a0<\/p>\n
These \u201ceasy wins\u201d can quietly define long-term constraints.\u00a0<\/p>\n
Understanding where dependency begins is critical. Early decisions around voice, chat, or internal tooling can shape how easily the broader CX stack evolves later.\u00a0\u00a0<\/p>\n
Buyers should make sure that\u00a0they\u2019re\u00a0baselining metrics and outcomes, Harris said:\u00a0<\/p>\n
\u201cBut\u00a0there\u00a0also needs to be\u00a0the\u00a0flexibility to swap and future-proof\u00a0against evolving requirements\u00a0and business\u00a0needs,\u00a0without being\u00a0locked into multi-year contracts that\u00a0restrict\u00a0that\u00a0agility.\u201d<\/p>\n
3. What Does \u2018Multi-Vendor\u2019 Mean in Practice \u2013 and Who Controls the Switching?\u00a0<\/p>\n
Many vendors position themselves as multi-vendor, but the reality can differ significantly.\u00a0<\/p>\n
True flexibility is not just about having multiple integrations. It is about how easily those providers can be changed, and who controls that process.\u00a0<\/p>\n
Harris points to the volatility of the AI market as a key reason\u00a0this matters:\u00a0<\/p>\n
\u201cYou need to do all of that to deliver complete and correct automation in the right areas and ultimately protect your customers from vendor instability.\u201d\u00a0<\/p>\n
If switching providers requires vendor intervention, new contracts, or architectural changes, \u201cmulti-vendor\u201d may be more constrained than it appears.\u00a0<\/p>\n
4. How Will Latency and Performance Be Managed by Channel?<\/p>\n
Not all AI workloads have the same requirements. Treating them as interchangeable can limit performance and cost efficiency.\u00a0<\/p>\n
Harris highlighted the difference between real-time and asynchronous use cases:\u00a0<\/p>\n
\u201cIf you\u2019re going to have a voice-to-voice conversational model at the beginning of your IVR, that needs to be really snappy\u2026 [which is] very different to something like a summarization of an interaction. \u00a0Ultimately, it doesn\u2019t need to be low latency to achieve the same level of value.\u201d\u00a0<\/p>\n
This distinction matters. Voice interactions require low latency and\u00a0immediate\u00a0responsiveness,\u00a0whereas\u00a0tasks like summarization or analytics can tolerate delays.\u00a0<\/p>\n
A vendor\u2019s ability to match models to specific use cases\u00a0indicates\u00a0how flexible\u00a0and efficient\u00a0their approach will be.<\/p>\n
5. How Do You Handle Governance, Auditability, and Supply Chain Risk Across Third Parties?<\/p>\n
Governance is becoming a central part of the lock-in conversation, particularly as AI ecosystems expand to include multiple providers. At the same time, governance cannot be applied uniformly, Harris pointed out:\u00a0<\/p>\n
\u201cSome of the potential use cases for AI\u2026\u00a0carry more organizational risk than others.\u201d Conversational agents and agent\u00a0assistance\u00a0applications \u201cneed a different level of governance\u00a0than\u00a0something that\u2019s more internally facing.\u201d\u00a0\u00a0<\/p>\n
Enterprises need\u00a0to be\u00a0aware of the regulations already in place and ensure they meet the processing requirements in each region or country\u2014and sometimes at\u00a0the\u00a0state level, Harris advised:\u00a0<\/p>\n
\u201cIt\u2019s\u00a0important, firstly, to be clued up on what governs the areas that you\u00a0operate\u00a0or intend to\u00a0operate\u00a0in. And then ultimately making sure that the data is stored locally by organizations that you trust.\u201d\u00a0<\/p>\n
Given the current geopolitical climate, buyers need to be aware of\u00a0the\u00a0risks of working with vendors in different regions. The fact that certain providers, particularly in the\u00a0hyperscaler\u00a0community, are headquartered in the U.S., is \u201calready visibly posing a risk to European countries in a way that, for example, France is much more now impactfully legislating to buy European first. And\u00a0that\u2019s\u00a0quite\u00a0a big change\u00a0compared to the past 20 years,\u201d Harris explained.\u00a0<\/p>\n
\u201cWork with CX providers that can offer you the flexibility and the clarity around where your data is hosted first\u2026 that will come to speak to you about those types of concerns and help you through your internal governance processes in the correct way.\u201d\u00a0<\/p>\n
Buyers also need to look beyond the primary vendor to the broader supply chain, ensuring that they conduct due diligence on subcontractors to mitigate supply chain risk.\u00a0<\/p>\n
This includes understanding where data is processed, how it is handled, and how compliance is\u00a0maintained\u00a0when components change.\u00a0<\/p>\n
Without this visibility, switching providers can introduce unintended regulatory exposure.<\/p>\n
6. What Commercial Terms Protect Us if Costs Change?<\/p>\n
Pricing models can create a different kind of lock-in driven by unpredictability.\u00a0<\/p>\n
Harris flagged consumption-based pricing as a particular concern:\u00a0<\/p>\n
\u201cThe biggest risk is consumption-based approaches to AI and working with vendors that will give you a token cost\u2026 or that give you a usage figure that can be hard to forecast against, particularly if you\u2019ve got seasonal demand.\u201d\u00a0<\/p>\n
Token-based or usage-based pricing may appear\u00a0flexible, but\u00a0can become difficult to manage at scale. Instead, buyers should look for pricing structures that provide clarity and protection, Harris said:\u00a0<\/p>\n
\u201cBuyers should ultimately have the ability to do some level of bursting against a fixed commitment within a fixed term.\u201d\u00a0<\/p>\n
Forecastable costs and transparent terms are essential for\u00a0maintaining\u00a0control over long-term spending.\u00a0<\/p>\n
Vendors should provide a set of clear license costs that show the buyer the services and protection\u00a0they\u2019ll\u00a0receive over the life of the contract.\u00a0<\/p>\n
Providers should also understand seasonal and campaign-based demand, allowing buyers to flex up without\u00a0additional\u00a0changes to the terms and conditions.\u00a0<\/p>\n
Rethinking AI Vendor Selection\u00a0<\/p>\n
These questions reflect a broader shift in how AI should be evaluated.\u00a0<\/p>\n
Vendor selection is no longer\u00a0just about features\u00a0or model performance.\u00a0It\u2019s\u00a0now also about designing for change. Organizations are not choosing a single tool:\u00a0they are building an ecosystem, and the ability to evolve within it.\u00a0<\/p>\n
\u201cBuyers need to be conscious of what happens if the outcomes don\u2019t achieve what they were initially looking to do,\u201d Harris said.\u00a0<\/p>\n
\u201cThis is always a risk when there\u2019s a buzzword in the industry,\u00a0and people say, \u2018you\u2019ve got to jump onto this type of a technology,\u2019 without taking a step back to consider what they can do to enable them to have the correct flexibility.\u201d\u00a0\u00a0<\/p>\n
Harris frames this as a partnership challenge: \u201cYou need to work with a CX provider that is a trusted AI advisor.\u201d\u00a0<\/p>\n
Lock-in often appears as a procurement detail. Over time, it becomes an operational constraint\u00a0which\u00a0ultimately impacts\u00a0both employee and customer experience.\u00a0The surrounding architecture,\u00a0and the flexibility built into it,\u00a0determine\u00a0whether that system can adapt. The right questions make that visible early.\u00a0<\/p>\n
\u201cIt goes back to the measurements and metrics,\u201d Harris said.\u00a0\u00a0<\/p>\n
\u201cWhat is important for your organization? What are the realistic targets you want to achieve against those key performance indicators? And how can you factor that into work with a partner\u00a0that\u2019s\u00a0willing to say, \u2018this is an acceptable level of performance that we both agree, this isn\u2019t, and this is how we can work collaboratively to amend that.\u201d\u00a0<\/p>\n
The vendor may need to \u201cbring in a different provider or make tweaks to the product that sits around it.\u201d\u00a0<\/p>\n
The answers can help buyers ensure they get the outcomes they need with the correct protections,\u00a0building the capability to continuously adapt, without starting over.\u00a0<\/p>\n","protected":false},"excerpt":{"rendered":"AI is changing too quickly for static decisions. With models, vendors, and regulations shifting rapidly, buyers need to…\n","protected":false},"author":2,"featured_media":42420,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,3768,25,512,4662,7129,25895,10420,223],"class_list":["post-42419","post","type-post","status-publish","format-standard","has-post-thumbnail","category-ai","tag-ai","tag-ai-governance-tools","tag-artificial-intelligence","tag-automation","tag-cloud-contact-center","tag-conversational-ai","tag-cx-observability","tag-data-sovereignty","tag-generative-ai"],"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/42419","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=42419"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/42419\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/42420"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=42419"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=42419"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=42419"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}