Hewlett Pack Enterprise (HPE) has announced AO’s decision to implement HPE Networking solutions for AI-native networking and improve performance and visibility.
By upgrading its legacy wireless network to a modernized version, AO can now connect all its offices and logistics hubs with more reliable Wi-Fi and secure device connections.
Replacing older wireless infrastructure allows the company to reduce its struggle with scale and visibility, reducing network faults and improving employee experiences.
Mark Weeks, UK & Ireland, Sales Director at HPE Networking, asserts that HPE’s AI-native networking delivers practical value by improving connectivity, providing intelligent insights, and enabling operational speed and flexibility.
“AO exemplifies how forward-thinking enterprises are using AI-native networking to drive real business outcomes,” he said.
“By adopting a cloud-managed, AI-native networking architecture from HPE, AO has gained robust, secure connectivity that spans corporate offices and complex operational environments.
“The advanced HPE Mist platform delivers actionable insights and intelligent automation, empowering AO to accelerate decision-making and sustain competitive agility in a dynamic market.”
Older networks are now making day-to-day harder than it needed to be, with reactive infrastructure, IT teams could see when something had already gone wrong, but had very little warning beforehand.
If connectivity dropped in a warehouse or office, the issue often only became visible after staff started reporting slow systems or outages.
AO’s older infrastructure also produced very limited performance data, with teams unable to always tell which devices were failing, whether congestion was building in a certain location, or if an issue was likely to spread to other areas.
This increases troubleshooting times with frequent manual checks, causing significant delays.
Unreliable connectivity slows access to core systems used for order processing, inventory management, and customer support.
For customers, internal delays can create slow responses, delivery issues, or reduced service quality, creating friction throughout the operation.
The AI-native Network
AO has introduced HPE Mist AI-native networking across its offices and logistic centers to address these issues.
This platform utilizes a built-in AI engine called Marvis to monitor connectivity and performance rates continuously.
It also combines AI-enabled Wi-Fi and switching to provide secure connections and real-time data about devices and network health.
The AI engine learns from network activity to detect issues early, providing actionable insights and automating problem resolutions before users are affected.
Matthew Brooks, Network Team Lead at AO, highlights how HPE has given AO much clearer visibility into how its network is being used.
“We’re a developer-centric organization, and we saw the opportunity to use the HPE Juniper Networking platform to drive data-led decisions around internal user experiences, leading to amazing customer experiences,” he said.
“The ability to see exactly what devices are on the network and to leverage real-time device and occupancy analytics enables us to make smarter, faster business decisions, in IT and across our entire operations.”
Improving AO Customer Services
Network connectivity is important to CX, being one of the core foundations in every customer interaction.
When connectivity is stable, teams can focus on serving customers rather than fixing technical issues, applying across warehouses, offices, and service teams.
Providing reliable access to systems means tasks in the customer journey can be completed without delay, allowing teams to continue meeting customer expectations by reducing hold times and repeated customer service requests.
Delivery teams can see accurate information in real time, and customer service agents can access account details, schedules, and support tools without disruption, improving service quality.
An AI-native network also gives IT teams clear visibility into what is happening across sites, allowing issues to be identified and resolved early before staff notice a problem, shortening recovery times and reducing the risk of outages during busy periods.
For customers, fewer internal disruptions mean more predictable deliveries, smoother installations, and faster resolution when something goes wrong.
By first improving the internal employer experience, customer experience benefits as a result.
HPE’s Approach to Network Elevation
HPE’s uses AI-driven infrastructure and modern networking as part of its approach to improve the performance, reliability, and responsiveness of core systems.
Earlier this week, HPE announced its collaboration with telecommunications provider, 2degrees to create a purpose-built AI platform with HPE Private Cloud AI.
This allows 2degrees’ critical customer and operational data to remain in New Zealand under local governance, thereby supporting compliance and data sovereignty, whilst also experiencing a flexible, secure environment that unifies and modernizes infrastructure.
For AO, HPE’s approach means faster detection and resolution of network issues, greater operational visibility, and smoother service delivery, helping staff deliver better customer service.
For 2degrees, the AI cloud platform supports more resilient network operations and accelerates new features that benefit end users.
In each case, better infrastructure leads to fewer interruptions, faster service, and more predictable outcomes for customers.
