RADNOR, Pa.--(BUSINESS WIRE)-- #AI--CoreX, a high-growth Elite Consulting and Implementation Partner of ServiceNow and NewSpring Holdings platform company, today announced the successful completion of its acquisition of InSource's ServiceNow business unit. InSource is a fellow Elite Partner recognized for deep delivery expertise and an unwavering commitment to client success. The transaction officially closed in late December 2025. This agreement unites two high-performing ServiceNow partners in the. ...

Core Insights - xtype has launched the 2026 State of ServiceNow Operations Survey at the ServiceNow World Forum in New York, inviting customers to share insights on governance, AI adoption, and platform ROI [1][2] - The survey aims to benchmark the current state of ServiceNow delivery, focusing on managing complexity, enforcing technical governance, and preparing for GenAI [2][3] Survey Objectives - The 2026 survey will help ServiceNow teams benchmark their maturity, identify gaps in technical governance, and learn from peers on scaling safely and delivering faster [3][4] - The previous report highlighted critical technical governance challenges, emphasizing that ServiceNow is an ecosystem of interconnected instances, which requires proper governance to avoid risks and productivity losses [3][4] Operational Focus - The survey will examine operational realities such as environment sprawl, change control, upgrade strategies, and audit readiness [2][4] - Key findings from the previous report indicated that 70% of organizations reported negative impacts on development workflows due to clone-down processes, and only 57% of mature users utilized commercial tools for deployment automation [5] AI Adoption and Governance - 70% of respondents plan to adopt Gen AI within 12 months, indicating significant investment in AI capabilities [5] - Effective technical governance is essential for accelerating delivery while maintaining compliance and security as companies expand their ServiceNow usage [4][5] Participation and Insights - ServiceNow customers are encouraged to participate in the survey, which takes approximately 5 minutes to complete, and participants will receive early access to the report [6] - The insights gained from the survey will assist organizations in navigating operational challenges and building a foundation for AI and beyond [6]

Core Insights - AI Revolution Company (AI/R) has launched Synsig, a brand focused on implementing Digital Platforms and Agentic AI using ServiceNow products [1] - Synsig aims to enhance digital transformation in strategic areas such as CRM, HR, AI agents, and IT services, leveraging its expertise and a client base of over 700 active clients [3] - The brand emphasizes a culture of 'Human-AI Engineering' to drive efficiency and innovation in corporate and IT service management [4] Company Overview - Synsig is a global strategic consultancy that specializes in ServiceNow, aiming to accelerate digital transformation through intelligent automation [5] - AI/R is an Agentic AI Software Engineering company that integrates specialized technology brands and AI platforms to enhance human intelligence and drive industry-wide innovation [6]

Group 1 - The core issue is not the failure of tools but the lack of trust and timing in systems, leading to a disconnect between insights and actions taken [2][3][10] - Companies operate in three distinct data worlds: analysis, prediction, and operations, which often do not communicate effectively with each other [3][5][7] - The analysis world focuses on historical data and visualization but fails to drive actionable outcomes [5][6][30] Group 2 - The prediction systems aim to forecast future events but rely on human intervention to act on those predictions, creating a gap in execution [6][12][13] - Operational systems prioritize immediate responses and do not integrate insights from analysis or predictions, leading to a reactive rather than proactive approach [7][11][30] - A lack of integration between these three worlds results in missed opportunities for timely action, causing inefficiencies in business operations [8][12][20] Group 3 - Companies often rely on Excel for critical operations due to its flexibility and control, despite its limitations in handling complex data [14][15][19] - The concept of an "action layer" is introduced, which integrates analysis, prediction, and operations into a unified system that drives action rather than just reporting [30][38] - The ideal scenario involves autonomous systems that not only identify issues but also take corrective actions without human intervention, enhancing operational efficiency [21][29][38]