A Jitterbit, líder global en aceleración de la transformación de negocios para sistemas empresariales, revealed today the discoveries of theO Relatório de Benchmark de Automação de 2025: Perspetivas de Líderes de TI sobre Automação Empresarial e o Futuro dos Negócios Impulsionados por IA. The research, which gathered insights from 1.000 decision-makers in IT in the USA and the UK, reveals the growing appetite for the use of AI to implement business automation, but highlights the lack of resources and safety concerns as challenges to be overcome.
The path to success is clear: companies must break down data silos and automate workflows to thrive in the AI era, said the president and CEO of Jitterbit, Bill Conner. While many organisations still struggle to find resources in IT teams, Information Security and business line to fill this 'data division', the opportunity for those who can is immense. We are on the brink of a new era of efficiency and innovation, driven by true end-to-end automation.”
The study, conducted by Censuswide Research, reveals that IT teams and business areas are increasingly aligned in their efforts to close the data gap and drive greater collaboration, alleviating bottlenecks and reducing the burden on IT teams. However, while companies rush to adopt automation and AI-based application development, challenges such as resource scarcity, concerns about safety and integration obstacles still persist. The main findings include
A growing "data division"
- 67% of companies today deploy more than 500 applications, creating meaningful data silos.
- 70% of the demand for resources for business automation falls on IT teams.
- 99% of IT leaders recognize the need for seamless integration and automation, but 71% still do not have a unified platform to achieve this goal
The need for self-sufficiency among business area leaders is increasing
- 97% of IT leaders recognise the importance of empowering non-technical users to create, implement and maintain applications and integrations, guaranteing a faster appreciation time.
Agente AI (IA Autónoma) en el horizonte
- 99% of companies have integrated AI into their operations; pioneering organisations increasingly see Agentic AI as the next frontier.
- 31% of companies are already planning for this new era of Agentic AI,indicating the next wave of enterprise AI solutions for autonomous decision-making, that require end-to-end automation.
The biggest challenges of IT
- Cybersecurity, data privacy, scalability, resources and compliance remain the main concerns of IT leaders navigating the automation landscape with AI technology.
- 50% of IT leaders cite vulnerabilities in third-party AI technology integrations as their main data security concern. This highlights the urgent need for robust AI safety protocols, platform security controls and accountability processes.
The traditional automation, designed to perform isolated tasks, no longer sufficient to keep up with modern business demands, said the CTO of Jitterbit,Manoj Chaudhary. An agentic AI is driving a fundamental change — evolving from task-based automation to intelligent automation with adaptable workflows that drive real business outcomes. By leveraging AI-driven decision-making, companies can free themselves from data silos and IT bottlenecks, permitting perfect end-to-end automation.”
Access the full study, Informe de Referência de Automação 2025: Perspectivas de Líderes de TI sobre Automação Empresarial e o Futuro dos Negócios Impulsionados por IA,visitinghttps://www.jitterbit.com/ebook/2025-automation-benchmark-report . Obtain deeper insights into how companies are adopting end-to-end automation, understand the strategies they are using to overcome integration challenges and know what is on the horizon for the future of automation with AI-Infused and application development
