How Enterprises Evaluate AI Solution Providers

With 83% of businesses viewing AI as a top priority and 77% of them actively engaged with it, if you had any doubt about AI’s impact on business, you need to think again.

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Given that AI will soon be a basic operational necessity, how do you choose the right AI solution provider for your enterprise? 

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The Enterprise AI Trends Report revealed the most relevant factors that decision-makers consider when evaluating an AI solutions provider. In this article, we take a close look at each of these factors and explore how Unframe can help your business get the most out of AI. 

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Cost-effectiveness

As you might expect, cost-effectiveness is number one on the list. Enterprises rightly prioritize AI solutions that deliver measurable value, demanding a clear return on investment without excessive upfront costs. That said, it's important to consider the long-term implications when choosing an AI solution, as maintenance and scaling issues can damage your bottom line. 

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Some AI initiatives appear affordable at the proof-of-concept stage but quickly become expensive to maintain or scale. Hidden costs like ongoing model tuning, infrastructure upgrades, vendor lock-in, and the need for specialized talent, can add up fast. Worse, when AI solutions aren’t aligned with real business needs, organizations end up paying for technology that underdelivers.

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Speed of implementation

The enterprise world moves quickly, and with AI involved, it’s only going to accelerate. Solutions need to deliver value rapidly, and months of integration and customization are a costly part of the equation. A provider's ability to facilitate rapid deployment and iterative improvements is a key differentiator. 

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To gauge this, inquire about the speed of integration with your existing infrastructure and whether the provider can offer a clear timeline with defined milestones. Prioritize platforms that streamline the deployment process.

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Customizability and integrations

The complexity of enterprise tech stacks requires a solution that offers smooth integration. Any chosen AI solution needs to easily adapt to your existing environment, as opposed to the other way around. This requires a provider capable of handling your specific data sources and APIs, with a focus on flexibility. 

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You need to explore the specifics of a provider's integration capabilities, questioning whether they offer pre-built connectors for widely used enterprise applications and if they can accommodate custom integrations. Inquire about their experience with data migration and transformation, ensuring they can maintain data integrity and consistency throughout the integration process. 

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Proven ROI

Having transcended it’s once niche status, AI is now firmly established as a C-suite and board-level priority- with 48.5% of enterprise AI initiatives being driven from the highest levels. As a result, demonstrating a clear return on investment is central. 

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Look for providers with a proven track record of delivering measurable results, supported by compelling case studies, testimonials, and quantifiable metrics. It's important to determine if the provider can actively assist in tracking and measuring their solution’s impact, and to assess whether they provide detailed analytics and reporting capabilities. 

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Scalability

With growth most likely your ultimate goal, your AI solution needs to be able to support an increasing number of users, data sources, and use cases. It’s important to look beyond your immediate needs and consider the solution's long-term viability, assessing whether it might become a bottleneck as your organization scales. 

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Companies need to remember that scalability involves more than just technical capacity, it’s about flexibility too. You need to know your provider can adapt to your evolving needs and shifting business priorities. To evaluate this, look into their infrastructure to find out if they use cloud-based technologies or distributed systems designed to handle increasing workloads. 

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Security and compliance

Data is a business’s most valuable asset and it needs to be well-protected. Powerful security measures and strict regulatory compliance are vital, as sharing sensitive data with public LLMs or other systems outside your secure perimeter poses a major risk. Your provider needs to demonstrate a clear focus on data security and privacy. 

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Thoroughly examine a provider's security policies and procedures, finding out whether they conduct regular security audits and penetration testing. What’s their approach to data encryption and access control? Most importantly, do they comply with industry-specific regulations, such as HIPAA, GDPR, or CCPA? 

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How Unframe can help

At Unframe, we understand the challenges faced by enterprises, which is why we’ve developed a Turnkey Enterprise AI Platform specifically designed to address the issues that larger businesses face. 

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We streamline deployment and customization through an innovative "Blueprint Approach" that ensures ultra-smooth alignment with your specific demands and goals. Forget costly and time-consuming model training, we deliver solutions that are all ready to go. Perhaps most importantly, with an outcome-based pricing model that aligns our success with yours, you can evaluate a fully operational AI solution before committing to it. 

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With unlimited integrations and powerful security on top of this, Unframe allows you to access AI’s considerable capabilities without compromising your data or budget. In a single platform, we offer a comprehensive, all-in-one AI solution that can be tailored to meet any use cases you have. No matter the current state of your enterprise infrastructure, Unframe places you at the very heart of a new age in AI-driven business operations. 

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To find out more about Unframe and how our AI solutions can help your enterprise adapt and grow, don’t hesitate to contact us.