Engineering The Future with Real-World Solutions

A leading fintech platform serving 1M+ users, offering international travel banking solutions, faced mounting pressure from a 30% chat escalation rate and 40% of agent time consumed by repetitive queries. Aivar deployed an autonomous agentic AI support system—integrated with the client's chat and messaging channels—that now handles 50,000+ monthly sessions with 92% accuracy, 70% bot deflection, and a resolution rate lifted from ~50% to ~70%, all while enabling 24/7 autonomous support at roughly 2× the previous capacity.

A leading Indian digital lending platform supporting customers across the full lending lifecycle faced a rigid, reactive chatbot that couldn't cross-sell, speak, or scale. Aivar stepped in as its dedicated AI-Studio partner to architect a next-generation agentic conversational platform—introducing orchestrated AI agents, real-time voice, multilingual support, and a contextual cross-sell engine. The result: sub-3-second responses, 15–20% cross-sell conversion uplift, 40–50% agent bandwidth recovery, and 30–40% support cost reduction—with zero re-indexing required to onboard new product lines.

Reva.ai partnered with Aivar to develop an AI-driven policy governance platform using AWS services including Amazon Bedrock, SageMaker, and Amazon Verified Permissions. The solution automates policy design and enforcement through natural language generation, enabling streamlined compliance and security management. The architecture leverages multiple AWS managed services for high availability and scalability, supporting frameworks like Cedar and OPA while providing real-time monitoring and audit capabilities.

A leading logistics provider automated the processing of 100,000+ biweekly invoices from multiple carriers using an AI-powered, serverless AWS solution. The system ingests emails via Amazon SES, extracts and validates data with Amazon Textract and Bedrock, and processes Excel files with Lambda. This reduced manual labor costs by 70%, cut invoice processing costs by 40%, decreased errors by 30%, 95% reduction in processing time and 97% accuracy delivering real-time financial visibility and compliance.

A global customer engagement leader struggled with manual IT service management processes causing delays and high costs. Aivar implemented an AI-powered solution using AWS Bedrock Agents, Lambda, and Claude Sonnet 3.5 to automate ticket validation and routing. The serverless architecture integrated with Jira and external systems, achieving 98% validation accuracy, 92% end-to-end automation, 95% faster processing (15 minutes vs 8 hours), and 40% cost reduction through intelligent workflow automation.

Elevate, a technology platform for startup growth, struggled with resource-intensive manual outreach that couldn’t scale with expanding programs. Aivar created an AI-powered voicebot using AWS Bedrock, WebRTC, and Deepgram STT that automates participant outreach from initial contact to follow-up. The solution achieved 60% improvement in outreach efficiency, 250 concurrent sessions, 72% automation rate, enabling real-time strategy adaptation, consistent communication quality, and seamless integration.

The client is a freight execution platform that manages the end-to-end lifecycle of shipping goods—covering procurement, planning, execution, and audit/payment—across multiple carriers and customers. They assist enterprises by automating the ingestion and processing of large volumes of freight invoices and shipment documents received via email in diverse formats.

The client is a leading mobile engagement platform in India, serving major verticals including banking, e-commerce, and government. They personalize two-way customer care and marketing interactions for over 2,000 enterprises. The platform facilitates essential real-time alerts and confirmations, benefiting millions of end consumers through secure, omnichannel communication.

Sellergeni partnered with Aivar to migrate their Amazon product listing platform to AWS, leveraging Bedrock Agents, Lambda, API Gateway, S3, and CloudWatch. The GenAI-powered serverless architecture automates creation and validation of product titles, descriptions, bullet points, and keywords—delivering 80% faster generation, 70% higher accuracy, full scalability, and robust compliance monitoring for high-quality listings.