The Secure Platform for AI
AI, data and business-critical workloads are only as strong as the platform beneath them. We design, migrate and operate the hybrid cloud platform that lets you innovate faster, scale with confidence and stay ahead – with control, resilience and cost discipline built in from day one.
The Market Challenge
AI ambition is outpacing the platforms meant to carry it.
Most hybrid estates weren’t designed – they accumulated.
Workloads landed wherever was convenient at the time, resilience was bolted on afterwards, and cost visibility never quite caught up. Then AI arrives, demanding more compute, more data movement and more governance than the estate was ever built for – and the cracks show. Spend climbs faster than value, and internal teams end up firefighting instead of innovating.
AI doesn’t fail on the model — it fails on the platform beneath it. And too often, the cost, risk and placement decisions that shape it are made too late to change the outcome.
Four familiar problems. Four deliberate answers.
| Where Things Go Wrong | What Cisilion Delivers |
|---|---|
| AI and Cloud Costs Rising Faster than Value: Lift-and-shift, oversized resources, orphaned services and weak ownership mean avoidable spend and poor visibility. | Regain Control of Cost: FinOps, right-sizing and governance embedded into architecture and ongoing operations - not reviewed after the fact. |
| Workloads in the Wrong Place: AI, data, legacy and regulated workloads are commonly hosted based on history, not current business needs. | Every Workload on the Right Platform: Evidence-led placement decisions based on cost, risk, performance and business value. |
| Resilience Added Too Late: Backup, DR, redundancy, compliance and cost controls are often only reviewed after migration. | Improved Operational Resilience: Backup, disaster recovery, redundancy, security and governance built in before, during and after modernisation. |
| Operations Are a Bottleneck: Internal teams spend their time fixing and supporting rather than driving new business value. | Operate with Specialist Expertise: 24×7 monitoring, optimisation and managed cloud operations that extend your team without adding headcount. |
Hybrid Cloud Readiness & Cost Control Assessment
Start with a clear, evidenced view of your estate – where cost is leaking, where workloads are misplaced, and where resilience gaps sit. Tailored to your environment, delivered by our specialists.
- A prioritised view of cost, risk and readiness
- Right-sizing and FinOps opportunities identified
- Clear next steps your leadership team can act on
A proven five-step path from assessment to fully managed operations.
A people-led, account-based approach that helps you deploy, run and optimise the right workloads in the right place, at the right cost – building the secure platform your AI future depends on, with a clear outcome at every stage.
The AI enabler of choice - with the platform to prove it.
Excellence, proven on cost
38% average savings through right-sizing, licensing optimisation, tagging and governance — outcomes that drive real value for our clients.
Trust, built in
Through transparency, integrity and a deep understanding of your goals — resilience, security and governance designed in from day one.
Agility, by design
We combine flexibility with forward thinking, using AI to help you adapt, operate more efficiently and stay ahead of what’s next.
Architecture-led
We start with business outcomes, workload needs, risk, cost and operating model — then design the right platform.
Accelerated with Microsoft
Microsoft-funded programmes, proven Azure architectures and access to specialist Microsoft expertise to de-risk and speed up your move.
Engineered on Cisco
Cisco-led data centre and AI infrastructure – including Cisco AI PODs, Secure Access and AI Defence — for compute, networking and security built to run AI.
Proven across enterprise and global organisations
Modern work is the whole workplace – designed as one platform.
Core capability areas
Modern Work spans eight core capability areas across content, collaboration, voice, devices, customer experience, automation and security – led by Microsoft and Cisco, and designed around how people actually work.
Consolidate them into one connected estate and every part reinforces the others.
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Data centre & AI infrastructure
Cisco-led compute, storage, networking and security – including Cisco AI PODs for ready-to-run AI factories.
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Cloud platforms
Azure, AWS and GCP, private hosted and sovereign cloud, and multi-cloud management.
Management & orchestration
Azure Arc, Kubernetes, automation, hybrid burst and failover across cloud and data centre.
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CSP, FinOps & cost management
Cisilion CSP and FinOps for Azure — spend visible, governed and continuously optimised.
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Security & compliance
Zero-trust access, cloud & web firewalls, DLP, Microsoft Purview and Entra, Cisco Secure Access and Cisco AI Defence.
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Observability
ThousandEyes, Splunk and cloud-native monitoring for a single view across the estate.
Accredited by the vendors we build on
Microsoft Solutions Partner
- Solutions Partner for Infrastructure (Azure)
- Solutions Partner for Security
- Cloud Solutions Provider (CSP)
- Infrastructure & database migration
- Cloud security
Cisco Partner
- Hybrid Cloud Computing Solution
- Hybrid Cloud Networking Solution
- Secure Enterprise Infrastructure Competency
- Cloud & AI Infrastructure (Portfolio Partner)
- Observability
Hybrid cloud questions, answered plainly.
Everything. AI workloads are demanding – they need high-performance compute, fast, governed access to data, and strong security and cost controls. Hybrid cloud is the platform that provides all of that, letting each workload run where it performs best across public, private, on-premises and sovereign environments.
Get it right and AI scales safely and affordably; get it wrong and AI initiatives stall on cost, latency or risk. It’s why we treat hybrid cloud as the secure platform for AI, not a separate conversation.
Not every workload belongs in public cloud. Data residency rules, latency-sensitive systems, licensing models and legacy applications often make on-premises or private/sovereign cloud the better home.
Hybrid lets you place each workload deliberately – and move it later as needs change – instead of forcing a one-size-fits-all migration that costs more and delivers less.
Usually, yes. Most estates carry avoidable spend from oversized resources, orphaned services, poor tagging and unoptimised licensing. Our FinOps and right-sizing approach is embedded into both design and ongoing operations – and clients see an average of 38% savings.
The Readiness & Cost Control Assessment is designed to show you where that spend sits before you commit to anything.
Only if they’re operated as separate islands.
The value of true hybrid cloud comes from one identity model, one cost model, one security policy and one operational view across every environment. Done this way, managing public, private and on-premises together takes less effort than managing them separately – the complexity is handled once, in design.
AI and data workloads need the right platform – high-performance compute, GPU/NPU-ready clusters, low-latency networking and strong governance.
We design these in from the start, using Cisco AI PODs and Azure-native services, so AI initiatives scale safely and cost-effectively rather than stalling on infrastructure.
It starts with the free Readiness & Cost Control Assessment, which gives you an evidenced view of your estate with no obligation. From there, our five-step approach takes you through design, delivery, adoption and – if you want it – fully managed 24×7 operations. You choose how far along that path you’d like our support to go.
It starts with the free Modern Work Readiness Assessment, which gives you an evidenced view of your estate and Copilot readiness with no obligation. From there, our five-step approach takes you through design, delivery, adoption and – if you want it – fully managed workplace operations. You choose how far along that path you’d like our support to go.
Build the platform your AI future depends on.
Get a personalised Hybrid Cloud Readiness & Cost Control Assessment – a clear, evidenced view of your cost, risk and readiness, and the first step towards moving confidently into an AI-driven future. No obligation.
One connected ecosystem. Powered by AI, built on trust.
Modernising the five foundations that enable AI to work – each strong on its own, stronger together. Explore the pillars that connect to this one.
THINK
CONNECT
Networks built for a secure, AI-optimised hybrid environment that scales with demand, not headcount.
WORK
Workspaces and tools that enhance how people work
TRUST
Secure by design and by default – trust and resilience through Zero Trust across apps, data, infrastructure and people.


