Agentic technical support
Advance technical support with customisable AI-based solutions
Many specialised agents. One coordinated intelligence
Fixed internet services create operational complexities across the operator network, the access line, the business and residential end-user environments, and the entire customer journey. The Future Connections’ agentic AI solution is designed to connect, through specialised agents, to all layers of this reality, reason across all of them, and act on them. This reduces dependency on manual intervention at every stage of the service chain for every type of end customer served, delivering greater efficiency, reduced call centre Average Handling Time (AHT), lower costs and significantly improved customer satisfaction.
How it works
The solution ingests live data from four distinct layers of the fixed internet chain, regardless of whether the end-user is a residential home or a business premise.
A range of domain- and function-specific AI agents deal with task, areas or source-related data and reason simultaneously and separately, delivering detailed and up-to-date information to the orchestration and reasoning agent in real time.
The orchestration and reasoning agent receives the output of all the specific AI agents separately, reasons across it and provides knowledge and/or actions to every tier of the support and operations organization.
The output type depends on what you want to receive from the solution and the preferred balance between human and agentic-based involvement in your customer technical support process, from simple real time diagnostic all the way to remote automated remediation and provisioning. Our solution can be adopted in stages and evolves over time at your pace, to adapt to your choice and situation.
Core capabilities
Advanced troubleshooting
- Complex network diagnostic
- Root cause analysis
- Performance optimisation
- Cross-domain issue resolution
Network technologies
- Routers (end users)
- Fixed line access (copper, fibre, coax)
- Wi-Fi access points
- VOIP and IPTV
Continuous improvements
- From reactive to proactive
- Root cause identification
- Automation design and implementation
- Process improvements
Analytics & insights
- Trend analysis and reporting
- Predictive maintenance
- Performance benchmarking
- Service quality monitoring
Security & compliance
- Security incident response
- Compliance monitoring
- Vulnerability assessment
- Audit support
Vendor coordination
- Multi-vendor management
- Technical liaison
- Patch and update coordination
- Integration support
Strategic relevance
Vendor-independent diagnostics across every access technology, CPE type and carrier interface
Scaling of architecture towards full network autonomy without replacing existing systems
A solution for your specific situation
Case studies
1. Reduction of router swap costs
A leading European operator with approximately 150,000 B2C customers on fixed line – copper and fibre –
was experiencing a high volume of router swaps and a consequent high volume of follow up calls from unhappy customers.
Very limited technical skills of the support team and complex environment to retrieve technical information from multiple IT systems resulted in up to 80% service tickets unresolved and passed on to 2nd and 3rd line support. More than 7% of these tickets resulted in costly physical router (or other hardware) swaps that were not required and many unsatisfied customers.
Our team analysed a large volume of service tickets and identified recurring root causes in multiple domains (network, router, Wi-Fi, service, etc.). Based on the findings, the team designed and implemented new processes that empowered the operator’s support team. In addition, Future Connections developed and implemented an agentic AI solution that, within a few seconds, identifies the key root cause of a service call and recommends the most appropriate course of action. The team’s interventions resulted in reduction of resolution time, considerable cost savings, employees’ empowerment and greater customer satisfaction.
2. Reduction of repeat technical support calls
A telco operator in the fixed domain was suffering from an increased volume of repeat support calls from unsatisfied customers,
with the number of calls growing exponentially faster than the number of customers.
Increasing number of follow up calls due to very limited first-time fixes required additional costs and human resources for the customer’s issues to be resolved. Lack of first-time fixes was leaving customers unsatisfied, negatively impacting their trust in the operator and causing a higher customer churn. Employees lacked experience and technical knowledge base and relied on standardised scripts that did not provide solutions to technical issues.
Our team implemented a Future Connections’ agentic AI solution that made the task of the support team simpler, faster and more efficient. Within a few seconds from the customer call’s initiation, the support advisers had full visibility of the status and performance of various potential sources of the customer’s technical issue. In addition, the exact cause of the problem and recommendation of its most appropriate solution were identified automatically and flagged up. As a result, the volume of first-time fixes increased significantly and follow up calls and customer complaints decreased considerably.
Why choose our Agentic technical support services
Expert
team
Certified engineers with 10+ years of experience in telecom networks and advanced troubleshooting
Proven methodologies
Industry-standard frameworks combined with proprietary diagnostic tools for efficient resolution
Global
reach
Supporting operators across multiple countries with localised expertise and language capabilities
Innovation
focus
Continuous investment in emerging technologies and AI-driven diagnostic capabilities
GenAIOps
AI-powered operations
Leveraging generative AI and advanced machine learning, our agentic AI solution revolutionises technical support
with intelligent automation and predictive capabilities.
- Automated root-cause analysis using AI pattern recognition across historical incident data
- Predictive fault detection identifying issues before they impact services
- Natural language processing for rapid log analysis and anomaly detection
- AI-generated remediation recommendations based on similar resolved incidents
- Intelligent ticket routing to the most qualified specialists
- Automated documentation and knowledge-base updates
- Real-time network optimisation through machine learning algorithms
Predictive network intelligence
- Shift from reactive fault management to predictive, data-driven network operations
- Vendor-independent diagnostics across every access technology, CPE type and carrier interface
- Scaling of architecture towards full network autonomy without replacing existing systems
Scaled service quality
- Cost reduction per interaction while improving resolution quality
- Capacity growth in line with subscriber and business customer growth, without proportional headcount increase
- Field efficiency improvement with first-time-right rates and smarter data-driven dispatch decisions
Support as a competitive position
- Support experience transformation from a cost point into a differentiator
- Service-related churn reduction by resolving issues faster, more accurately and more proactively
- Consistent service quality, strengthening customer retention and contract renewal