By Pierre Yves Noel, Innovation Strategist & Service Portfolio Director at Alcatel Lucent Enterprise. ALE won the ‘Best Use of Telephony / Unified Communications in Cloud Computing‘ category at The 2024/25 Cloud Awards.

 

AI has become an indispensable tool for organizations across different verticals and sectors.

A recent survey from McKinsey found that 78 percent of senior leaders said their organizations use AI in at least one business function, up from 72 percent in early 2024. However, the potential of artificial intelligence is only just starting to be explored.

As artificial intelligence technologies evolve and diversify, enterprises are facing a dilemma: Should they opt to boost productivity with AI software and stay ahead of the game, but potentially put their data at risk and compromise sensitive information by rushing to integrate AI tools that lack sufficient perspective or maturity?

In response to this dilemma, organizations are increasingly seeking more flexible and tailored solutions to meet their operational needs. The Bring Your AI (BYOAI) approach offers multiple benefits; allowing IT leaders to balance efficiency with security and retain control over their AI capabilities. Rather than relying exclusively on proprietary AI offerings from major cloud providers, organizations are adopting open platforms that support the integration of third-party AI models suited to specific industry requirements.

The strategic significance of BYOAI

While standardized AI solutions from major cloud providers offer ease of access and broad functionality, they also come with several limitations that can hinder efficiency and performance. These off-the-shelf models are typically designed for general-purpose use, which means they may lack the industry-specific capabilities or contextual understanding required for more specialized applications.

At its core, BYOAI enables enterprises to enhance productivity and operational agility by allowing the deployment of AI models that are precisely aligned with their business challenges.  Some of the key advantages of BYOAI are:

• Fine-tuned models: The BYOAI approach allows employees to use and fine-tune AI models specific to their industry and internal culture. For instance, financial institutions may implement AI models specialized in real-time fraud detection, while healthcare organizations may adopt diagnostic AI trained to comply with stringent regulatory standards.
• Data security: Retaining data sovereignty is important for all organizations, but especially those in sectors where they deal with confidential personal data, such as healthcare, or those where adversaries may look to gain a competitive advantage. Ensuring that data stays within data centers controlled by your organization is vital to retaining sovereignty, and controlling who data is shared with. This eliminates the choice between security and efficiency when looking at AI investments.
• Cost control vs efficiency: BYOAI provides a much greater level of flexibility when it comes to deciding how to balance hardware and energy investments versus subscription models. Organizations are also able to adjust the models used to mirror changing business goals. This may be especially valuable in fast-changing industries or regulated sectors where agility is critical.
• Employee Confidence: It is also valuable to communicate internally to employees that they can safely use the provided AI for their daily tasks. Making sure employees understand the technology and associated risks is key to truly taking advantage of AI.

Integration with the business ecosystem

When it comes to implementing AI within your organization, it is important to provide AI services within employee business applications. This helps IT control the use of shadow AI in the company (along with all associated data privacy risks).

Even more importantly, when searching for automation tools, such as AI agents, enterprises must rigorously assess third-party AI models to ensure that they meet high standards for data privacy, since connecting tools from the business ecosystem may lead to higher risks than individual employees using AI. Organizations need to trust the AI solutions they connect to their ecosystem, because doing so has the potential to introduce significant gaps in data security.

This process is a must have for enterprises looking to leverage upcoming standards such as MCP (Model Context Protocol), a standard interface introduced by Anthropic to connect an LLM to real-time context from the Enterprise, and A2A (Agent-to-Agent), a protocol created by Google to allow AI agents to collaborate, communicate and delegate tasks.

Customization beyond the AI model

Many organizations are looking to tailor their AI tools and usage as much as possible to align with workflows. Beyond the Bring Your Own AI approach, one example of customized usage is Bring Your Own Prompt. This produces accurate and relevant responses by grounding prompts with your own data.

Not all conversations are equal. Asking an AI to summarize an internal project meeting versus summarizing a customer sales call is totally different. Allowing administrators to customize the AI behavior to reflect the actual usage inside the company is powerful. This is what enables end-users to really leverage AI services for efficiency.

Prioritizing responsible implementation

Perhaps the most important consideration for businesses when thinking about AI automation is how to keep control of the output. This process has two main stages.  First, during the definition of the AI Agent, how to supervise the process to ensure that the AI Agent is correctly completing the function it has been assigned.

Second, once the AI Agent is deployed and autonomous, IT leaders need to determine how to provide a real-time communication channel between the AI Agent and team members, so that blocking points can be resolved by humans and relayed to the agent.

AI as a critical tool

Bring Your Own AI in Enterprise communications will bring the right level of openness, flexibility, and trust from employees to allow businesses to reap the benefits of AI while remaining in control. However it is key that implementation is carried out  i in a transparent and responsible way.

Organizations that make efforts now to harness the power of AI are likely to develop a competitive edge as the technology continues to advance.