ERP, CRM, and cloud implementation services for mid-market enterprises
Net at Work is a systems integrator and managed-services provider built around NetSuite, Sage X3, Dynamics 365, and Azure infrastructure. The hiring mix—sales-heavy with smaller engineering and ops teams—reflects a professional-services model where delivery depends on staff augmentation and vendor partnerships rather than proprietary product development. Active projects signal a shift toward AI-assisted sales automation and custom LLM tooling, while Sage 300/100 and Acumatica replacements suggest a consolidation toward cloud-native ERP platforms.
Notable leadership hires: Director
Net at Work helps mid-market organizations modernize their financial, operational, and customer-management systems. The firm implements and optimizes ERP platforms (NetSuite, Sage X3, Dynamics 365), CRM deployments, and cloud infrastructure (Azure, AWS), alongside managed IT and advisory services. With approximately 300+ specialists, they deliver data migrations, post-implementation support, and long-term optimization engagements. Pain points include SLA adherence, resource utilization, and sales-process efficiency—typical friction points in services-delivery orgs scaling client delivery and revenue per engagement.
NetSuite, Sage X3, Dynamics 365, and Sage Intacct. The company is also replacing legacy Sage 300 and Acumatica deployments, signaling a shift toward cloud-native platforms.
AI and automation implementation for sales operations, CRM optimization and automation, and custom GPT development for sales. These indicate expansion into AI-assisted sales tooling and process automation.
Other companies in the same industry, closest in size
Net at Work's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.