A revolutionary platform that utilizes AI to enhance customer interactions through personalized recommendations and automated service management. Designed with built-in transparency and accountability features, Sensa Fabric's compliance with the EU AI Act emphasizes the importance of user-centric AI, where personalization and decision-making processes are transparent, helping businesses foster trust and improve customer engagement

An advanced AI solution offering trust and governance features to ensure ethical AI practices and transparency in decision-making processes. This solution focuses on ethical AI practices and compliance, incorporating robust governance frameworks to meet the EU AI Act’s stringent standards for risk management and fairness. It ensures that AI systems operate responsibly and align with regulatory expectations

Delivering hyperpersonalized experiences through advanced AI, this platform creates a unified view of each customer by integrating data from multiple touchpoints. It tailors real-time interactions, offers, and content, ensuring relevance and uniqueness. Compliance with the EU AI Act is maintained through strict data privacy measures, empowering businesses to provide bespoke services while safeguarding customer data

Analyst

Analyst

Partners

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SI and Hyperscalers Partners 

Partners 

stc

Enterprise Communication Services

Scalable Real-time Personalisation 

Enhanced Self-Service and Automation 

Improved Insights for Strategic Decision-Making 

AI for CSP Customer Interactions 

New Revenue Streams through Service Aggregation 

Market Differentiation through Unique Partnerships 

Cross-Sell and Upsell Opportunities 

Expanded Reach and Customer Base 

CSP Digital Marketplaces 

Revenue Diversification with Vertical-Specific Offerings 

Increased Customer Stickiness through Personalized Service Bundles 

Agile Service Innovation 

Competitive Edge with Integrated Ecosystem Solutions 

CSP Digital Marketplaces 

Seamless Partner Onboarding and Compliance Management 

Real-Time Collaboration for Enhanced Service Delivery 

Operational Cost Reduction through Automation  

Enhanced Data-Driven Decision Making 

Partner Ecosystem Management Platforms for CSPs 

Accelerated Deployment for Custom Enterprise Solutions 

Stronger Value Proposition in Niche Markets 

Improved SLA Management for Enterprise Clients 

Efficient Resource Allocation & Scalability 

Partner Ecosystem Management Platforms for CSPs 

Partner Ecosystem Management Platforms for CSPs 

15%

reduction in
customer
churn 

10%

increase
in
ARPU 

25%

improvement in operational
efficiency 

30%

boost in
customer
satisfaction scores 

Proprietary GenAI Assistant Authoring Platform 

Enable business users to create custom AI assistants without coding
Reduce time-to-market for new AI services by 70%
Democratize AI capabilities across your organization
Tailor AI solutions for diverse telecom use cases  

Seamless GenAI Integration with Tecnotree BSS 

Infuse GenAI intelligence throughout your entire BSS ecosystem
Enhance decision-making with AI-driven insights at every touchpoint Ensure consistent, intelligent experiences across all operations 

Telecom-Specific Large Language Models (LLMs) 

Leverage GenAI models trained on vast telecom datasets
Generate human-like responses for customer service and internal operations
Continuously improve with ongoing learning from your unique data 

Flexible Deployment and Deep Integration 

Unlike public cloud AI/ML platforms, Sensa offers unparalleled flexibility
Can be installed and run completely on-premise or on public clouds
Seamlessly integrates with existing OSS/BSS infrastructure
Allows telecom operators to run AI/ML workloads alongside their core systems

Availability of SDKs and libraries for easy integration
Successfully transferred Customer Churn models for a Middle Eastern CSP
Benefits: high reusability, improved delivery timelines, increased longevity of existing decision-making systems 

Explainability

Can I explain the decision?

Robustness

Is it secure and complaint?

Bias

Have I been unfair?

Co-Pilot ChatBot

Tecnotree Roots   ChatBot

Targeting & Selling

Interactions

Conversations

Product Design

Insights

Business Processes

Trust

Usage & Behaviors 

Privacy, accuracy  and policies   

Context

Relevance

Tecnotree Roots   ChatBot

Co-Pilot ChatBot

Foundational Models

Proprietary Models 

Traditional AI models, frameworks Good Old-Fashioned AI 

Loyalty Programs 

Fintech/Mobile Money 

Interactions 

TroubleTicket 

Profile Information 

Demographics 

Purchases & Subscriptions 

Revenue & Billing 

Deep understanding of customer context 

Business needs-driven Capability infusion 

AI Capabilities

Global Telecom Corp achieved an 18% churn reduction within 6 months of implementation 

Prepaid-focused Telco increased market share by 5% through personalized offers 

LATAM telecom provider achieved significant cost savings and improved targeting accuracy 

Advanced Analytics

Reduce instances of service overuse or underuse by 

45%

                improvement in retention campaign efficiency 

85%

35%

            boost in cross-selling and upselling success rate 

Marketing Intelligentce

GenAI-driven personalized product recommendations 

Boost product adoption rates by      

35%

70%

Reduce time-to-market for
 new AI search by               

Computer Vision

Enhance security in customer authentication processes, prevent fraudulent activities 

Boost product adoption
       rates by             

35%

5%

Prepaid-focussed Telco increased market share by 

           through personalized offers 

Natural Language Processing & Gen AI

Analyze customer sentiment 

Meaningful insights from large amounts of unstructured
text data 

Provide tailored information to customers by learning from previous interactions. Increase customer satisfaction and drives loyalty 

Telecom-Specific Large Language Models (LLMs) 

Leverage GenAI models trained on vast telecom datasets
Generate human-like responses for customer service and internal operations
Continuously improve with ongoing learning from your unique data 

Seamless GenAI Integration with Tecnotree BSS 

Infuse GenAI intelligence throughout your entire BSS ecosystem
Enhance decision-making with AI-driven insights at every touchpoint Ensure consistent, intelligent experiences across all operations 

Flexible Deployment and Deep Integration 

Unlike public cloud AI/ML platforms, Sensa offers unparalleled flexibility
Can be installed and run completely on-premise or on public clouds
Seamlessly integrates with existing OSS/BSS infrastructure
Allows telecom operators to run AI/ML workloads alongside their core systems

Developer-First and Engineering-First Approach 

Availability of SDKs and libraries for easy integration
Successfully transferred Customer Churn models for a Middle Eastern CSP
Benefits: high reusability, improved delivery timelines, increased longevity of existing decision-making systems 

Foundational Models

Proprietary Models

Traditional AI models, frameworks Good Old-Fashioned AI  

AI Capabilities

Trust

Usage & Behaviors 

PROFILE OF ONE

Context

PROFILE OF ONE

Profile Information

Demographics

Purchases & Subscriptions 

Revenue & Billing

Trouble Ticket 

Interactions 

Loyalty Programs 

Fintech/Mobile Money 

Business needs-driven Capability infusion  

Deep understanding of customer context  

Trust

Usage & Behaviors 

PROFILE OF ONE

Relevance

Privacy, accuracy  and policies   

Emerging Markets Telecom saw a 12% ARPU increase across their postpaid customer base 

Mid-size Operator recovered $5M in previously uncollectible debt within the first year 

Leading 5G provider optimized network investments, saving $10M annually 

Prepaid-focused Telco increased market share by 5% through personalized offers 

LATAM telecom provider achieved significant cost savings and improved targeting accuracy 

Global Telecom Corp achieved an 18% churn reduction within 6 months of implementation 

Mid-size Operator recovered $5M in previously uncollectible debt within the first year 

Global Telecom Corp achieved an 18% churn reduction within 6 months of implementation