Automated issue resolution with
AI Care Suite
Boost your customer satisfaction
AI Care Suite is a modular suite of Predictive and Generative
AI-powered solutions.
Designed to work seamlessly together to transform how telecom and network service providers manage customer experience and operational efficiency.
By combining predictive AI decision-making with generative AI explanations, AI Care Suite enables operations teams to anticipate issues, respond faster and more accurately, and significantly reduce manual effort.
Key Capabilities
Automated Complaint Analysis
Instantly processes and interprets customer complaints related to network performance, delivering natural, guided responses and identifying patterns and anomalies without human intervention.
Root Cause Identification
Leverages existing network data (including KPIs, alarms, CDRs, etc.)
Operational Efficiency
Minimizes the manual workload for operations teams, allowing them to focus on strategic tasks while the AI handles repetitive analysis and triage.
AI Care Suite modules for each stage of the customer care journey
AI Care Proactive
Identifies early signs of potential issues before the customer experiences problems. By combining predictive AI insights with automated diagnostics and resolution capabilities, it enables operators to detect, diagnose, and even resolve technical issues preventing service degradation.
AI Care NOW
Transforms frontline agents and store staff into virtual telecom experts, empowering them to efficiently handle customer complaints. It reduces call handling times by delivering rapid resolutions, typically in less than 25 seconds, enabling each customer service agent to manage more interactions efficiently.
AI Care Reactive
Automates the analysis of customer complaints after they occur.
By leveraging real-time KPIs and incident data, significantly reducing the time agents or technical customer care teams spend on manual activities.
What benefits can you expect?
Ticket avoidance
Time reduction in issue resolution
Reduction in support tickets
Consistency
Discover AI Care Suite
AI Care Suite Use Cases
Maintenance activities
Detecting customer’s degraded experience due to site maintenance activities.
Mobility
Ping-pong handovers pointing to coverage or site issues.
Performance
Chronic degradation of site KPIs or Alarms causing performance issues and cells malfunctioning.
Coverage
Identify coverage holes on all technology bands based on customer location.
Indoor device issue
Problems caused by incorrect setup or connection failures of indoor devices.
Provisioning conflict
Problems caused by incorrect setup or connection failures of indoor devices.
Accounts-related issues
Idle profiles causing unnecessary usage of resources, as well as non-disabled accounts with payment issues causing revenue holes.
Missing service
Missing required configurations or incorrect setups in customer profile causing a specific service not to work.
End-user device issues
Problems caused by the device used by the customer, such as installed apps causing the stock messaging app not to be able to send messages, or the device lacks the bands the operator needs for optimal service.
AI Care Suite
Frequently Asked Questions
How does AI Care Suite work?
AI Care Suite leverages Predictive and Generative AI to streamline telecom customer service operations by automatically identifying, diagnosing, and resolving customer issues. The suite includes three integrated modules – Reactive, Proactive, and Now – allowing operators to tailor the solution to their specific operational needs, whether it’s responding to complaints, preventing service degradation, or empowering frontline staff with expert-level support.
AI Care Reactive analyzes both network and subscriber data to determine the root cause of problems and provides natural language recommendations to support agents and engineers.
AI Care Now provides almost instant (< 30 seconds from when customer complaint is specified) feedback for the support agent or someone in a retail store to rapidly resolve a customer complaint.
AI Care Proactive proactively monitors user experience in near real-time, creates virtual tickets for detected issues, and either resolves them automatically or forwards them with suggested actions to engineers when manual intervention is needed.
How does Tupl SaaS work?
Tupl solutions are delivered as a cloud service (supported by the main cloud providers e.g. AWS, GCP, Azure, etc.). Our SaaS licensing model significantly reduces the upfront cost of purchasing the system. We can also deploy on-premises, in your private cloud or data center.
What type of root causes does this solution address?
Apart from above introduced use cases, one key design principle of our solutions is flexibility, so as long as the proper data sources are integrated, any root cause that is relevant to you can be addressed.
My organization does not have data science skills. How steep is the learning curve for this solution?
No coding skills or database modelling are required. This solution relies upon TuplOS, which is a platform designed to synthesize and digitize the complex knowledge base from your engineers and free them to focus on putting their expertise to work. Tupl can guide you through the process via a coaching and training program from our services team.
What other systems can work with this solution?
Tupl solutions are conceived to work in conjunction with other systems within your company, such as Ticketing, SON, CM, or Work Order management systems. Just as any engineer would do.
Explore Proven Success Stories
Smart Automation for effortless
complaint resolution at scale
A Tier-1 wireless network operator in North America aiming to enhance customer experience, reduce operational overhead, and streamline technical support by automating the resolution of network-related complaints.
Empowering First-Line Support to Elevate Customer Experience
A Tier-1 wireless network operator in North America aiming to transform frontline customer care by equipping agents with intelligent tools to resolve service issues during the first interaction.
Proactive Management
of Technical Issues in Mobile Network
A Tier-1 wireless network operator in North America seeking to elevate customer care by proactively resolving technical issues. The goal was improving customer satisfaction, reducing escalations, and streamline operations through AI-driven automation.