Broadband, cable TV and ISP providers deal with busy customer service queues for account access, billing, service changes, outages, installations, refunds, and technical support. Providers may be vulnerable to identity fraud, social engineering, unauthorized account changes, billing abuse, and other financial risks as a result of these interactions.
As a result of suspicious activities, risk indicators and compliance breaches detected in customer conversations via Verbix.AI, support teams get a heads-up on potentially fraudulent activity to intervene before it causes damage.
Detecting account takeover, payment fraud, and social engineering in high-volume broadband and cable support centers.
Criminals could be trying to take over customer accounts by social engineering the support agents or otherwise obtaining account access.
Criminals may conduct social engineering attacks over the phone to try to acquire sensitive information and/or perform account modifications or unauthorized account changes.
Refund scams, payment disputes, account modifications and irregular billing discussions could all contribute to financial losses.
Agents are required to adhere to authentication and verification procedures across the board prior to executing sensitive account modifications.
Scammers may call us pretending to be you, trying to change your plan, transfer your services to a new address, or obtain access to your account.
Leading ISPs have thousands of conversations to handle in their large ISP contact centers making it hard to track down fraud manually.
Common practice of QA reviews only a small sample of calls as a result many of the creeping patterns of Named may become undetected and steadily continue to worsen.
Telecom providers must safeguard customer data and employ proper privacy and regulatory mechanisms.
Refund fraud, discount fraud, credit card fraud, service change and account activity related fraud can all have a direct impact on your revenue.
Compare manual fraud oversight with Verbix AI-driven conversation intelligence for broadband and cable providers.

Manual fraud reviews
Limited call sampling
Missed suspicious conversations
Inconsistent verification processes
Delayed fraud escalation
Difficult pattern detection
Higher revenue leakage
Limited risk visibility
Example Scenario
Without conversation intelligence, ISP support teams rely on manual QA sampling, leaving caller spoofing, social engineering, and unauthorized account modifications undetected until financial loss occurs.

AI-powered fraud signal detection
100% conversation monitoring
Suspicious keyword & phrase detection
Identity verification QA
Real-time risk alerts
Conversation pattern analysis
Automated compliance monitoring
Faster fraud investigation
Example Scenario
Verbix.AI automatically transcribes and analyzes 100% of customer conversations in real time, detecting suspicious caller behaviors, enforcing identity verification compliance, and triggering instant alerts to prevent fraud.
Conversational AI for broadband & ISP providers, cable TV networks, and fiber service operators to detect fraud, ensure compliance, and protect subscriber accounts.

Empower internet service providers with AI conversation analytics, fraud signal detection, and real-time subscriber authentication tracking.
Key Challenges
AI Use Cases

Protect cable television operations from account takeover, fraudulent plan modifications, and payment abuse with automated QA and smart escalation.
Key Challenges
AI Use Cases

Monitor high-volume multi-service support calls, detect pattern risks, and streamline compliance auditing across fiber and quad-play providers.
Key Challenges
AI Use Cases
Recognize anomalies in language, verification-bypass attempts, or suspicious requests which may be signs of fraud.
Detect social engineering manipulation, unusual urgency or social persuasion inside conversations trying to convince agents to skip security procedures.
Potential payment disputes, refund requests, credits and conversations that relate to billing are flagged for inspection.
Keep track of agent compliance with the necessary authentication steps when dealing with customer's sensitive accounts.
Notifications are sent to supervisors when high-risk conversations or activity on a suspicious account are identified.
Monitor fraud indicators, escalation rates, agent's compliance, suspicious call patterns and potential revenue leakage.
Track all account modifications, billing disputes, refund requests, authentication transactions, service transfers, and suspicious customer interactions from a single, centralized AI dashboard.

"Verbix.AI has provided us with enhanced oversight of suspicious dialogs for our fraud and customer service teams. We are able to detect high risk interactions more rapidly, drive better agent compliance, and investigate potential fraud prior to it resulting in significant losses."

Head of Risk & Customer Operations Leading Broadband & Cable Provider
Verbix.AI scans customer conversations for questionable language, social engineering tactics, verification problems, and fraudulent activities.
Yes. AI can flag conversations with suspicious authentication activity, such as unauthorized account changes and attempts to circumvent security protocols.
Yes. Conversation analytics have the ability to assess whether the agents comply with the identity verification and account security protocols that are mandated.
Yes. It can also detect suspicious billing disputes, refund claims, credits, discounts, and other financial conversations that may be at risk.
Yes. Organizations can be alerted to potential sources of revenue leakage for further investigation sooner by flagging suspicious interactions, unauthorized modifications, and anomalous refund or credit activity.