Sovereign AI Control Becomes Critical for Business Continuity
As autonomous agents increasingly take over essential enterprise workflows, the topic of sovereign AI control is emerging as a vital business continuity issue. While ensuring data remains within national boundaries partially addresses the challenge, organizations must also manage agent behavior, external dependencies, and the economic aspects of maintaining these systems operational.
According to Mick McNeil, the founder and CEO of Deliverance AI Ltd., regulated enterprises require more than just access to robust AI models and computing resources. They need specialized software and expertise that can transform these capabilities into governed production workflows.
“The true value and importance regarding business continuity isn’t tied to the choice of AI model, but rather to the governance layer overseeing these models,” McNeil stated during an interview with Dave Vellante of theCUBE Research for their series “Sovereign AI: From Strategy to Reality.” In this exclusive session, they discussed strategies for enabling enterprises to govern AI agents in their environments, retaining model choice while linking sovereignty requirements to measurable business outcomes.
Establishing the Boundaries of Sovereign AI Control
Deliverance AI’s control plane is designed to monitor agent activity, enforce operational policies, and provide both audit trails and emergency shutoff mechanisms. These safeguards are crucial in preserving sensitive data and maintaining operational oversight as agents perform enterprise workflows, McNeil explained.
“We partner with HPE to deliver a comprehensive stack that includes storage, networking, GPUs, and all necessary software directly within the customer’s data center,” he noted. “Once customers have established ownership of the boundaries surrounding the agent systems, they can confidently assert full control over both actions and telemetry associated with these systems.”
Different industries, such as government, defense, pharmaceuticals, and financial services, present varying requirements. Some organizations demand air-gapped systems while others are willing to accept limited external connections, depending on their operational criteria and risk tolerance, McNeil emphasized.
“Our customers retain full ownership of their infrastructure keys and the software that operates on it,” he added. “This principle is explicitly embedded in our market approach.”
Exploring Model Options for Workflow Resilience
Having a customer-controlled environment entails developing a strategy to manage dependencies beyond its operational boundary. Deliverance’s routing technology supports both frontier and open-source AI models, allowing enterprises to select tailored capabilities for their workflows while preparing contingencies in case of restricted access to particular providers.
“When clients subscribe to our products, including our operating system and the control plane, they gain the ability to deploy any compatible model, whether frontier or open-source,” McNeil highlighted. “Mission-critical workflows can seamlessly switch to an open-source model if access to the primary frontier model is restricted.”
Questions arise about ownership when a vendor relationship concludes. Customers retain ownership of their AI agents, integrations, audit trails, and learned knowledge, although transferring these assets across platforms remains a distinct challenge, McNeil explained.
“Agents are becoming increasingly portable,” he added. “However, the market has yet to establish a standardized framework that allows organizations to transfer agents between different platforms, and we are at the forefront of exploring this landscape.”
Transforming Control into Tangible Outcomes
Model routing plays a significant role in economic management by aligning AI model capabilities and costs with specific workloads. Deliverance evaluates the potential of AI agents to enhance business performance, differentiating productivity advancements from quantifiable financial results.
“Our deployment of agents and AI at scale is designed to defer future costs, resulting in a clear and meaningful impact on profitability,” he remarked.
Deliverance recently joined HPE’s Unleash AI partner program to integrate its agentic operating system into HPE Private Cloud AI, developed in collaboration with Nvidia Corp. Embedded engineers are responsible for maintaining the platform and constructing workflows while strategic advisors assist clients in prioritizing opportunities based on return on investment, time to value, and associated risks.
“We are poised to introduce a joint solution, enabling customers to rapidly deploy a full-stack agentic operating system in the most sovereign manner possible within 90 days,” McNeil commented. “The key to the growth and success of enterprises rests in their trust in technology, workflows, and agents.”