Limited visibility into connectivity issues
Operators and field teams struggle to determine whether issues originate from the device, SIM, or network, leading to slower diagnosis and unnecessary escalations.
Turn Connectivity Issues into Real-Time Resolution
We bring real-time diagnostics to the point of experience, enabling subscribers and field teams to resolve issues across device, SIM, and network layers faster and with less support dependency.
Challenges
Industry Challenges
Support channels overloaded with basic diagnostics
Simple connectivity issues continue to flow through care channels, increasing operational load and delaying resolution for higher-priority incidents.
Fragmented resolution across teams
Issues move across care, NOC, and field teams without a shared diagnostic view, resulting in multiple handoffs and extended resolution cycles.
Inconsistent field troubleshooting
Field technicians rely on fragmented tools and manual processes, leading to inconsistent diagnosis and slower on-site validation.
Lack of real-time user-level visibility
Subscribers lack real-time insight into network conditions at the point of experience, reducing their ability to understand or act on issues.
Product Overview
We bring telecom diagnostics directly to the point of experience through a mobile-first AI assistant.
Automated Mobility Assist (IME) continuously analyzes device performance, SIM behaviour, and real-time network conditions to detect issues and guide resolution. We combine subscriber self-service and field diagnostics into a single, shared interface, enabling faster decisions and consistent troubleshooting.
The outcome is simple:
01
Fewer support dependencies
02
Faster issue resolution
03
Transparent subscriber experience
Capabilities
Product Capabilities
On-device diagnostics engine
Real-time analysis of device, SIM, and network parameters directly on the handset ensures issues are identified at the point of experience.
Automatic issue detection
Continuous monitoring detects connectivity issues proactively without requiring user or technician intervention.
Real-time mobility intelligence
Live visibility into signal strength, latency, and service conditions enables faster, context-aware troubleshooting.
Guided troubleshooting workflows
Diagnostics are translated into clear, step-by-step actions, enabling both subscribers and field teams to resolve issues efficiently.
Field validation toolkit
Standardized on-device tools allow technicians to validate fixes and confirm network performance consistently on site.
Cross-layer correlation
Device behaviour is correlated with network conditions to identify probable root causes instead of isolated symptoms.
Process
How it works
01
Initiate at the point of experience
Subscribers or field technicians access diagnostics directly through the mobile interface, triggering real-time visibility into device and connectivity conditions.
02
Capture and detect at the device level
On-device intelligence continuously captures device, SIM, and network signals, detecting anomalies as they occur at the point of experience.
03
Correlate across device, SIM, and network layers
Detected issues are analyzed across layers, combining device behaviour with real-time network conditions to establish context.
04
Identify probable root cause
AI-driven diagnostics isolate the most likely cause of the issue, reducing dependency on multi-team investigation and manual escalation.
05
Guide resolution through contextual workflows
Guided troubleshooting workflows provide clear, actionable steps tailored to the subscriber or field technician.
06
Validate and close the loop
Fixes are validated in real time on the device and reflected across operator systems, creating a continuous feedback loop that improves diagnostics accuracy over time.
Results
Key Outcomes
Reduce avoidable support calls
Subscribers resolve common issues independently, lowering inbound care volume and freeing support teams for critical cases.
Accelerate issue resolution cycles
Real-time diagnostics and guided workflows significantly reduce time to identify and fix connectivity issues.
Improve subscriber experience
Greater transparency into connectivity issues builds trust and reduces frustration during service disruptions.
Increase field productivity
Standardized diagnostics and real-time validation enable technicians to resolve issues faster on site.
Lower operational costs
Reduced escalations, repeat investigations, and unnecessary field visits drive measurable cost efficiency.
Improve first-time resolution
Cross-layer diagnostics and contextual insights help operators identify the right issue the first time, reducing repeat investigations and unnecessary escalations.
System Design
Architecture
Automated Mobility Assist (IME) is designed as a mobile-first, edge-driven diagnostics platform integrated with operator systems.
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On-device intelligence layer
Capture device, SIM, and network signals in real time.
AI diagnostics engine
Detect issue patterns, correlate context, and identify probable root causes.
Workflow orchestration layer
Translate insight into guided troubleshooting and field validation.
Integration layer
Connects with OSS/BSS, NOC systems, support platforms, and customer care.
Analytics and feedback loop
Continuously improves diagnostics accuracy through usage signals and resolved insights.