Cisco & Microsoft Specialists
Can your network handle the data flows AI demands – and can you see what’s happening? Every AI ambition and growth plan ultimately runs on the network beneath it. We modernise data centre, campus and edge into one AI-ready fabric, where performance, sovereignty and observability are built in from day one.
The Market Challenge
Turn your network from a constraint into an engine for growth.
AI, cloud and hybrid work are reshaping network demand.
AI is moving from pilot to production, and networks now have to absorb east-west GPU traffic and low-latency inference. Refresh cycles are tied to Wi-Fi 7 and 6 GHz. Wireless and switching estates are ageing past end-of-support, quietly raising operational risk. And cyber insurance, NIS2 and audit needs are forcing identity-led access and segmentation across LAN, WLAN and IoT.
These forces are converging into a 2026–2028 refresh window – the organisations that plan for it modernise once, deliberately; the rest react to it under pressure.
The network is where AI ambition and business growth either accelerate or stall. Get the foundation right – performance and observability designed in, not bolted on – and everything you build on top of it moves faster.
Four familiar problems. Four deliberate answers.
| Where Things Go Wrong | What Cisilion Delivers |
|---|---|
| Legacy Constrains AI and Cloud: Older designs struggle with dynamic traffic, latency-sensitive workloads and distributed services. | Clarity from Day One: Understand performance, lifecycle, risk and readiness before committing spend. |
| Fragmented Vendors and Visibility: Multiple platforms create gaps in visibility, ownership and security control. | A Unified Operating Model: Campus, wireless, WAN, data centre, edge and observability joined up by design. |
| Lifecycle Debt Increases Exposure: End-of-life infrastructure raises operational risk, support burden and cyber exposure. | Built for Resilience and Performance: Infrastructure designed for performance, availability and security from the start. |
| Hybrid and SaaS Shift the Fault Line: Users, apps, AI models and data now span campus, cloud, SaaS, internet and edge. | Managed Services: Ongoing monitoring, lifecycle management and service improvement through managed service. |
Network Assessment
Start with a network assessment to identify performance, resilience and security gaps – a clear, evidenced view of your infrastructure health, lifecycle and AI-readiness. Tailored to your environment, delivered by our specialists.
- A prioritised view of performance, lifecycle and risk
- AI, cloud and hybrid-work readiness baseline
- Clear next steps your leadership team can act on
A proven five-step path from assessment to 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 - from data centre to edge.
Excellence - built for AI and hybrid work
Designed for modern traffic patterns, distributed users, cloud platforms and data-driven workloads – outcomes that drive real value.
Trust - connected end-to-end
Through a deep understanding of your estate: campus, wireless, WAN, data centre, edge and observability aligned into one architecture.
Agility - optimise before you replace
Refresh what matters, protect what works and prioritise investment by risk and value, so you adapt without over-spending.
Fewer surprises, faster answers
AI-assisted, end-to-end insight helps identify issues earlier, reduce manual investigation and improve operational resilience.
Delivered and managed at scale
Proven delivery capability with ongoing support, lifecycle management and service improvement.
Managed network operations
24×7 monitoring, AI-assisted service assurance, lifecycle management and continuous improvement.
Proven across enterprise and global organisations
An AI-ready network fabric - designed as one platform.
Core capability domains
Behind every outcome above sits real engineering depth – eight core capability domains from data centre to edge, under one policy plane, led by Cisco and integrated with Microsoft Azure and hybrid cloud by design.
Infrastructure-first, but cloud-integrated throughout.
Cisco UCS, hyperconverged and private cloud platforms with hybrid Azure Arc integration.
Software-defined fabrics, policy-driven segmentation and high-availability switching – Nexus 9000, ACI, VXLAN.
Enterprise switching, secure wireless and identity-driven access — Catalyst 9000, Meraki, ISE, Wi-Fi 6E/7.
Software-defined WAN, secure routing, edge platforms and hybrid cloud connectivity — Cisco SD-WAN, Meraki, Secure Connect.
Network and application monitoring, telemetry analytics and proactive degradation detection – ThousandEyes, Catalyst Center.
Centralised management, policy-based configuration, intent-based networking and lifecycle standardisation.
Network threat protection, firewall services, identity-based access and segmentation — ISE / TrustSec.
High-availability design, business continuity and long-term platform sustainability.
Accredited by the vendors we build on
Microsoft Solutions Partner

- Solutions Partner for Infrastructure (Azure)
- Azure Arc & Azure Stack HCI
- Azure hybrid connectivity
- Azure Monitor & Defender for Cloud
- Azure Backup & Site Recovery
Cisco Partner

- Enterprise Networking & Catalyst
- Meraki cloud-managed networking
- SD-WAN & Secure Connect (SASE)
- Data centre — Nexus, ACI & UCS
- ThousandEyes observability
Network infrastructure questions, answered plainly.
AI changes network traffic fundamentally. Training and inference create heavy east-west (server-to-server) traffic and demand low, predictable latency – patterns most networks built for office and internet traffic were never designed for. An AI-ready fabric handles those flows, and just as importantly lets you see into them with full observability.
If AI is anywhere on your roadmap, the network is one of the first things to get right, because retrofitting it later is far more disruptive than designing for it now.
Several forces are converging on 2026–2028: AI moving from pilot to production, the Wi-Fi 7 and 6 GHz transition, a wave of wireless and switching estates reaching end-of-support, and rising audit and segmentation pressure from cyber insurance and NIS2.
Individually each is manageable; together they mean most organisations will be refreshing infrastructure in this window anyway. Planning for it means you modernise once, deliberately, rather than reacting to failures and end-of-life under pressure.
No – and usually you shouldn’t. Our approach is to optimise before you replace: refresh what matters, protect what still works, and prioritise investment by risk and value.
The assessment gives you an evidenced view of lifecycle and risk so spend goes where it counts, and the design phase sets a phased roadmap so modernisation happens with minimal disruption rather than in one big-bang cutover.
Yes. We’re Cisco specialists across campus, wireless, WAN and data centre, and we integrate with Microsoft Azure (Arc, Stack HCI, Azure Monitor) by design – plus other platforms already in your estate.
The goal is one unified operating model with end-to-end visibility, not another silo. Where rationalising vendors reduces cost and complexity we’ll advise it; where it doesn’t, we integrate what you have.
Observability is designed in, not added afterwards. Using tools like ThousandEyes, Catalyst Center and cloud-native monitoring, we give you full-stack visibility from user to application across campus, cloud, SaaS, internet and edge – so issues are identified earlier, manual investigation is reduced, and operational resilience improves.
It’s the “can we see what’s happening?” half of the AI-ready question, and it’s central to how we design and manage.
It starts with the Network Assessment, which gives you an evidenced view of performance, lifecycle, risk and AI-readiness with no obligation.
From there, our five-step approach takes you through design, delivery, adoption and 0 if you want it – AI-assisted, human-led managed network operations. You choose how far along that path you’d like our support to go.
Design the right network platform before you scale it.
Get a Network Assessment – a clear, evidenced view of your performance, resilience, lifecycle and AI-readiness, and the first step towards an AI-ready network fabric. 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
RUN
Single, multi and hybrid cloud that runs securely and reliably, with predictable cost.
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.


