CEO Letter - July 2025

As we enter the second half of 2025, one emerging theme dominates every conversation I have with industry leaders: Agentic AI. This isn’t just the next step in artificial intelligence - it’s a whole new way that businesses will interact with technology, how software will function, and how we design and use the cloud.

Agentic AI: More Than Generative AI

The term ‘Agentic AI’ refers to AI systems that can not only respond to requests but also make decisions and take actions on their own to achieve specific business goals. Instead of just producing text or answering questions like today’s AI tools, these systems can plan tasks, carry them out, monitor progress, and adjust as needed - all with minimal human intervention.

Here are a few real-world examples to bring it to life:

• AI that automatically manages and reduces your cloud bills.
• AI that monitors IT systems, spots problems early, and fixes them before you even notice.
• AI that coordinates complicated business processes across different software platforms.
• AI that helps negotiate contracts, manage supply chains, and keep global operations running smoothly.

But for this kind of AI to work well, it requires a completely new kind of cloud setup - one that’s extremely flexible, can work with multiple providers at once, and is always ready to adapt.

Why Agentic AI Demands Hybrid & Multi-Cloud Architectures

At Deimos, we've long championed Hybrid Cloud and Multi-Cloud strategies not as buzzwords but as resilient design principles. Agentic AI brings these strategies into sharp focus:

• Data Localisation: Agentic systems need access to decentralised data across jurisdictions, making sovereign hybrid architectures critical.
• Vendor Flexibility: No single cloud has all the right AI tooling. Leveraging best-of-breed services from Google Cloud Platform (GCP), AWS, Azure, and Huawei Cloud empowers organisations to optimise performance, cost, and capabilities.
• Interoperability: Agentic AI agents will often coordinate multiple APIs, SaaS platforms, and cloud-native services that span providers. Multi-cloud is not optional; it’s foundational.
• Resilience and Redundancy: Distributed agents executing business-critical tasks across cloud environments will demand resilient architectures capable of mitigating failure in real-time.

The Deimos Approach: Engineering for the Agentic Era

At Deimos, we’re preparing our clients to move beyond reactive AI adoption to deliberate AI-native cloud design:

• Secure Cloud-Native Architectures: Our work in Cloud Security Architecture ensures agentic systems operate with built-in guardrails, preventing runaway automation and unintended behaviours.
• Cost-Conscious AI Deployments: We use rigorous Cloud Cost Optimisation and Cloud Readiness Assessments to ensure AI workloads remain scalable and financially sustainable.
• Managed Multi-Cloud Platforms: Through our Managed Kubernetes and Professional Services, we simplify multi-cloud orchestration, allowing Agentic AI workloads to execute seamlessly across providers.
• Flexible Commercial Models: With our Multi-Currency Payments and Exclusive Client Rebate Program, we empower African and global businesses to confidently invest in agentic technologies without financial friction.

Closing Thought: Autonomy Requires Discipline

Agentic AI will not eliminate the need for leadership, governance, or thoughtful engineering. In fact, it heightens it. The organisations that thrive in this next wave will be those that invest early in cloud foundations, hybrid architectures, and responsible AI oversight.

At Deimos, we are ready to guide our partners through this journey. Our multi-cloud expertise, engineering discipline, and pragmatic approach to AI adoption position us - and our clients - for sustainable advantage in the Agentic AI era.

If you would like to explore how Deimos can help future-proof your business for Agentic AI, I invite you to connect with our team here.

Sincerely,

Andrew Mori, CEO, Deimos