Empowering enterprises with cutting-edge artificial intelligence, cloud infrastructure, and data engineering solutions that drive innovation and growth.
Comprehensive solutions tailored to your business needs
Leverage advanced AI and ML technologies to automate processes, gain insights, and create intelligent solutions.
Build scalable, secure, and cost-effective cloud solutions on AWS, Azure, and GCP platforms.
Design and implement robust data pipelines, data lakes, and analytics platforms for data-driven decisions.
Create intelligent chatbots and virtual assistants that enhance customer experience and engagement.
Integrate multiple communication channels to provide seamless customer experiences across all touchpoints.
Ensure your infrastructure meets industry standards with comprehensive security and compliance solutions.
Innovative solutions designed to transform your business
The unified AI gateway that turns every interaction into resolution and insight.
Return Trip Marketplace — Connect drivers with return pickup opportunities for maximum efficiency.
Real-world implementations that drive business value
AI-Powered Customer Support Automation
A leading e-commerce platform serving over 2 million customers monthly, facing challenges with growing customer support demands and increasing operational costs.
The client's customer support team was overwhelmed with repetitive inquiries about shipping, returns, product specifications, and account management. Average response time exceeded 4 hours, leading to customer dissatisfaction and a CSAT score of only 3.2/5. The support team spent 70% of their time answering the same 50 questions repeatedly.
We developed an intelligent FAQ chatbot powered by advanced natural language processing and machine learning algorithms. The solution included:
Python, TensorFlow, BERT transformers, Rasa framework, FastAPI, Redis for session management, PostgreSQL for knowledge base, AWS Lambda for serverless deployment, Amazon Lex for additional NLU capabilities
The project was completed in 12 weeks, including requirements gathering, model training on 50,000+ historical conversations, integration with existing CRM systems, and comprehensive testing. We conducted A/B testing with 10% of users before full rollout.
The chatbot now handles 75% of all customer inquiries automatically, with 95% accuracy. Response time dropped from 4 hours to under 30 seconds. Customer satisfaction improved to 4.6/5. The support team was freed to handle complex issues, improving their productivity by 3x. The solution paid for itself within 6 months through cost savings.
Modern Data Platform for Enterprise Analytics
A Fortune 500 financial services company with operations across 15 countries, managing diverse data sources including transactional systems, customer interactions, market data, and regulatory reporting systems.
The client had data scattered across 50+ legacy systems and databases, making it nearly impossible to gain unified insights. Data processing jobs took 12+ hours to complete, preventing real-time decision-making. The existing infrastructure cost $2M annually and couldn't scale to meet growing data volumes (growing at 40% YoY). Business analysts spent 60% of their time just finding and preparing data instead of deriving insights.
We architected and implemented a comprehensive data lake solution on AWS, integrated with cutting-edge generative AI capabilities:
AWS S3, AWS Glue, Amazon Kinesis, Apache Spark, AWS EMR, Amazon Athena, AWS Lambda, Amazon Bedrock, OpenAI GPT-4, Amazon SageMaker, AWS Lake Formation, Amazon QuickSight, Terraform for infrastructure as code, Python, PySpark, and custom microservices
The project spanned 9 months with a phased approach: Phase 1 (3 months) - Foundation and data lake setup; Phase 2 (3 months) - Data migration and integration; Phase 3 (3 months) - Generative AI integration and user portal development. We migrated 15 petabytes of historical data and established 120+ real-time data pipelines.
The new platform processes queries in seconds instead of hours, enabling real-time business decisions. Infrastructure costs reduced from $2M to $600K annually while handling 3x more data. Business analysts now spend 80% of their time on analysis instead of data preparation. The generative AI layer enables executives to ask questions in plain English and receive instant, data-backed insights. The platform has become the single source of truth for the entire organization, serving 2,000+ users across all departments.
Unified Communication Platform
A rapidly growing telecommunications company with 5 million subscribers, operating call centers across 8 locations with 1,200+ customer service agents handling inquiries through phone, email, chat, and social media.
Customers were frustrated by having to repeat their issues when switching channels (e.g., from chat to phone). Each channel operated in isolation with separate systems, leading to disconnected customer experiences. Agents couldn't see complete customer history across channels, resulting in inconsistent service. The company was losing customers due to poor experience, with Net Promoter Score (NPS) at -15. Resolution time averaged 3.5 days across channels, and 30% of interactions required multiple contacts.
We created a comprehensive omni-channel customer engagement platform that unifies all communication channels into a single, seamless experience:
Twilio Flex for contact center infrastructure, Salesforce Service Cloud for CRM integration, Apache Kafka for real-time event streaming, Redis for caching and session management, Elasticsearch for search and analytics, Node.js and React for custom applications, Python for ML models, Docker and Kubernetes for containerization, AWS EKS for orchestration, and RESTful APIs for system integrations
The implementation took 6 months with a pilot program in 2 call centers before company-wide rollout. We integrated 8 channels, migrated 15 years of customer data, trained 1,200+ agents, and conducted extensive UAT. The rollout was completed in phases to minimize business disruption, with 24/7 support during transition.
Customer satisfaction soared from 68% to 92%, and NPS improved from -15 to +45. Average resolution time decreased from 3.5 days to 1.2 days. First Contact Resolution (FCR) improved from 60% to 85%. Agent productivity increased by 35% through unified desktop and AI assistance. Customer effort score improved by 50%. The company reduced churn by 25% and saw a 40% increase in customer engagement across channels. The platform now handles 2 million monthly interactions across all channels seamlessly.
Leading tools and platforms for enterprise solutions
We are a team of passionate technologists dedicated to helping businesses harness the power of artificial intelligence and cloud computing. With deep expertise in AI, ML, data engineering, and cloud infrastructure, we deliver innovative solutions that transform how organizations operate.
Our mission is to bridge the gap between cutting-edge technology and practical business needs, ensuring that every solution we create delivers measurable value and drives sustainable growth.
Get in touch to discuss your project
admin@athivatech.com
sales@athivatech.com
602, 8th Floor INNOV8,
Featherlite The Address,
200 Feet Radial Rd, Pallavaram,
Chromepet, Chennai,
Tamil Nadu - 600044