Technology companies are often the first to try what AI makes possible, and the first to find where it falls short: a support queue after an acquisition, a renewals pipeline run by hand, an engineering team asked to ship faster. BayOne works with semiconductor manufacturers, networking companies, and enterprise software and platform providers, bringing AI, data, engineering, experience and talent together to make that work hold up and show what changed.
AI support for customers and internal teams, from conversational assistants grounded in product knowledge and live ticket data to automated triage, routing and escalation to engineers when a question needs one. For a global semiconductor company, that meant 50–60% faster resolution and an 8-point CSAT gain without growing the support team. Related: AI & Automation, SRE & Technology Operations
Support across the product development cycle, including custom application and API development, AI-assisted coding, agentic testing and release automation, with senior engineers owning the review gates. Related: Product Engineering, Quality Engineering
Modernization of legacy platforms, network-management systems and enterprise applications, from cloud migration and re-architecture to microservices and API-first integration. For a global networking leader, agents generated 100% of the production code on an 80M-line codebase, delivered in 6 months against an 18-month plan. Related: Application Modernization
Research and data work that helps product leaders decide what to build next, including user research, research synthesis, product analytics and self-serve dashboards. For a Fortune 100 technology company, a research dashboard cut the time to reach insights by 40–50%. Related: Experience Design, Data Engineering & Analytics
Data, automation and managed teams for the work behind revenue, including renewals and quoting analytics, reporting automation, back-office process support and contingent workforce programs. For a Fortune 500 technology company, renewals analytics saved more than 1,000 hours a month. Related: Data Engineering & Analytics, Talent Solutions
Operations that keep critical systems available, including managed SRE, monitoring and observability, incident and problem management, vulnerability response and help desk support. For a Fortune 500 technology enterprise, mean time to resolution fell from four days to two across 1,000+ incidents a quarter. Related: SRE & Technology Operations
Case Study Transforming Semiconductor Customer Support Through AI-Powered Conversational Chatbot
Case Study Renewals Data Analytics Optimization for Revenue Leakage Prevention and Sales Excellence
Case Study Research Dashboard Development: Visualizing Quantitative Research Insights to Enable Data-Driven Decision Making
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