CMT companies generate enormous volumes of network, content, usage, and customer data, but fragmented systems make it difficult to act on them together. We apply AI across customer engagement, network operations, personalization, and revenue management, helping companies resolve issues earlier, improve service quality, deepen engagement, and find new value within the infrastructure and information they already own.
01
Connect intent, sentiment, account history, and service data across customer interactions. Specialized agents resolve routine requests, support service teams, orchestrate downstream workflows, and identify churn signals earlier, shifting customer service from reactive support to proactive resolution.
02
Continuously monitor multi-vendor network telemetry, correlate events across domains, predict potential failures, and recommend or execute remediation. Governed agents help operations teams investigate incidents faster, reduce downtime, and move network assurance toward self-healing operations.
03
Bring behavioral, catalog, content, and contextual signals into one personalization layer. Intelligent ranking, conversational discovery, and continuous experimentation help companies surface more relevant content, products, and offers while improving engagement across digital experiences.
04
Unify usage, billing, subscription, and CRM signals into a consistent revenue view. Predictive health scoring, pricing simulation, opportunity identification, and AI-led forecasting help commercial teams anticipate churn and act on revenue risks sooner.
8,000+
A telecom major relied on disconnected tools to manage thousands of projects across five global regions. We built a single Azure-native platform with real-time delivery governance, bringing more than 8,000 projects into one shared environment.
Major Contender in 5G Engineering Services PEAK Matrix® Assessment, 2023
Contender in ISG Provider Lens™ for Telecom, Media & Entertainment Services, 2023
Leader in ISG Provider Lens™ for Analytics Services – Mid Market, 2023
Enterprise Innovator in HFS Generative Enterprise Horizons Study, 2023
Major Contender in Cloud Services PEAK Matrix® Assessment, 2023
We embed AI across four connected areas: customer engagement, predictive network operations, real-time personalization, and subscription and revenue intelligence. Together, they help CMT companies improve service quality, reduce operational effort, increase engagement, and act earlier on customer and revenue risks.
It connects omnichannel signals, customer history, intent, sentiment, and domain knowledge to coordinate each interaction. Specialized agents can answer routine queries, support human agents, trigger downstream workflows, and identify repeat-call or churn patterns before they become larger service issues.
Predictive NetOps continuously evaluates network telemetry, correlates events across domains, identifies likely root causes, and recommends or executes governed remediation. This helps operations teams detect customer-impacting issues earlier, reduce manual investigation, and restore service faster.
We combine behavioral, content, catalog, and contextual signals to improve ranking, recommendations, and conversational discovery. Continuous experimentation measures whether those experiences are generating meaningful engagement, giving teams a governed way to refine personalization rather than relying on static rules.
It brings usage, billing, subscription, and CRM data into one revenue view. Predictive health scoring, pricing analysis, opportunity identification, and AI-led forecasting help teams recognize churn signals, assess pricing decisions, and prioritize the revenue actions that require attention.
Start with one customer journey, network domain, personalization workflow, or subscription process. We’ll help you identify where AI can improve service, reduce operating effort, and create the clearest commercial return.
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