Aivar Stories: What we've built, and what it changed

The customer is a fast-growing AI SaaS company delivering a generative-AI platform to regulated industries, including financial services, alongside an ERP product for MSMEs with vision- and audio-based order-capture capabilities. Its platforms harness advanced generative AI to provide intelligent services while maintaining strict security, privacy, and compliance requirements, and are offered in both standard SaaS and Enterprise SaaS models with strong multi-tenant data isolation. As the customer prepared to onboard several enterprise customers, it needed to move off its existing third-party GPU-cloud infrastructure onto a production-ready, compliant AWS foundation — and then make its critical workloads resilient enough to meet stringent business-continuity and data-sovereignty obligations, without disrupting its growth roadmap. Aivar partnered with the customer to migrate to AWS and engineer a resilient, multi-region architecture anchored in India.

The customer is an AI-native technology company building autonomous, agentic AI products. Its production, pre-production, and internal workloads had grown organically on Microsoft Azure across multiple regions and business units — spanning Kubernetes clusters, virtual machines, App Services, managed PostgreSQL and MySQL databases, Databricks workspaces, and a wide range of supporting storage, registry, and networking services. To gain broader regional coverage, native AI/ML services, mature multi-account governance, and stronger commercial alignment with its go-to-market motion, the customer elected to consolidate its entire estate onto AWS. Aivar partnered with the customer to design and execute a six-week migration programme that preserved operational continuity, minimized customer-visible downtime, and exited Azure with a clean cut.

The client is an AI-native technology company building autonomous, agentic AI products across multiple business units. Aivar Innovations designed and executed the consolidation of the client's six-region Azure estate onto a single, governed AWS multi-account Landing Zone — delivering consistent security guardrails, organisation-wide threat detection, and a structured migration of over 70 Azure workloads within a six-week programme.

The Client is a cloud-native technology company serving the SMB/mid-market segment with a customer-facing production platform. Aivar Innovations designed and delivered a hardened, multi-region AWS infrastructure with clearly defined trust boundaries, layered security controls, identity-based access management, and infrastructure-level policy-enforcement points — migrating the Client's workloads from Microsoft Azure and ensuring production-grade security from day one on AWS.

BornFree Ceramics (BFC) is a UAE-based studio specialising in custom, handcrafted ceramic tableware for hospitality brands, interior designers, and culinary businesses. Every piece is made to order, artisan-crafted from sustainable materials and designed to be as durable as it is beautiful in a commercial kitchen setting. As BFC's reputation grew and order volumes increased, the team recognized an opportunity to optimize and modernize their quoting operations and free up valuable time that was being spent on repetitive tasks rather than on serving customers and growing the business.

The client is a healthcare SaaS provider delivering a voice-enabled meal logging and nutrition analysis platform to hospitals and health systems for use in their clinical care programs, supporting provider organizations (HIPAA covered entities) that manage chronic disease populations including diabetes management, bariatric surgery programs, and cardiac rehabilitation initiatives. The client serves these provider organizations as a HIPAA Business Associate, and patients use the platform within provider-directed care programs rather than as a standalone consumer application.

The client is a medical imaging technology company developing a next-generation intraoral X-ray platform that performs high-resolution 3D reconstruction of dental anatomy, serving dental practices, radiography centres, and hospital-based dental units globally.

A leading B2B travel platform partnered with Aivar to migrate their application environments from GCP to a highly available, multi-region AWS architecture, leveraging AWS Control Tower, Amazon EKS, Amazon RDS (PostgreSQL), and AWS DMS.

A leading fintech platform, while redefining digital payments and personal finance experiences for millions of users across India, faced critical challenges around scalability, cost efficiency, and regulatory compliance on their existing cloud infrastructure. It became essential to re-architect the platform for performance, resilience, and future scalability.

A leading fintech platform serving 1M+ users, offering international travel banking solutions, faced pressure from a 30% chat escalation rate and 40% of agent time consumed by repetitive queries. Aivar deployed an integrated agentic AI support system that handles 50,000+ monthly sessions 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 chatbot that couldn't cross-sell, speak, or scale. Aivar architected a next-generation agentic conversational platform—introducing orchestrated AI agents with sub-3-second responses, 20% cross-sell conversion uplift, 40–50% agent bandwidth recovery, and 40% support cost reduction.

Reva.ai partnered with Aivar to develop an AI-driven policy governance platform using AWS services including Amazon Bedrock with Anthropic's Claude, SageMaker, and Amazon Verified Permissions. 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% with 97% accuracy.

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 achieving 98% validation accuracy, 95% faster processing (15 minutes vs 8 hours), and 40% cost reduction.

Elevate, a technology platform for startup growth, struggled with resource-intensive manual outreach that couldn't scale with its expanding programs. Aivar built an AI-powered voicebot on AWS Bedrock, WebRTC, and Deepgram STT that automates participant outreach from first contact through follow-up. Anthropic's Claude, accessed through Bedrock, provides the reasoning layer for the voice agent — generating the conversational scripts it speaks from and deciding what to say next at each turn. The result: a 60% improvement in outreach efficiency, 250 concurrent voice sessions, and a 72% automation rate.

The client is a freight execution platform that manages the end-to-end lifecycle of shipping goods - covering procurement, planning, execution, audit and 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 with 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.