ServiceNow expands autonomous workforce with specialized AI agents for IT, CRM and security
At ServiceNow Knowledge 2026, the company announced new AI experts for business functions, reducing integration and accelerating deployments.

During ServiceNow Knowledge 2026, the company revealed the expansion of its workforce offer Autonomous with AI agents specialized for IT, CRM, employee service teams and security and risk. The novelty aims to reduce integration overload and accelerate deployments, consolidating the tendency of large business platforms to incorporate agentic AI.
What is ServiceNow's autonomous workforce with AI agents?
The Autonomous Workforce is a set of AI agents that operate directly on the Now platform to perform tasks, respond to requests, and resolve incidents without human intervention. Originally focused on IT, agents now cover four key areas: technical support, customer relationship, internal HR services and cyber security. Each agent is trained with specific area data and can trigger workflows, update records and scale problems automatically.How do new corporate AI agents work in practice?
For IT, the autonomous agent identifies and corrects common incidents such as network failures or access problems. At CRM, it manages customer tickets, suggests solutions and customizes answers based on history. The staff member automates HR processes, such as vacation requests and benefit consultations. On the other hand, security and risk monitors threats in real time, blocks suspicious accesses and generates compliance reports. Everyone integrates without the need for external APIs, reducing integration costs.Why do corporate AI agents matter to Brazilian companies?
For the Brazilian market, where ServiceNow has a strong presence in sectors such as telecom, finance and industry, expansion represents productivity gain. Companies that already use the platform can adopt agents without major changes in infrastructure. Instead of hiring complex integrations or maintaining teams dedicated to repetitive tasks, organizations gain agility. The trend is also seen in other solutions, such as Startup raises $650 million to create AI that learns and improves its own code, showing that autonomous AI is becoming corporate priority.What's the difference between corporate AI agents and traditional chatbots?
Unlike chatbots who only answer questions, ServiceNow's autonomous agents perform concrete actions: they create calls, change permissions, trigger approvals and close tasks. They learn from historical data and can operate in unexpected scenarios, thanks to integrated language models. This makes them active partners in the workflow, not mere reactive assistants.What to expect from the adoption of AI agents in the corporate market?
ServiceNow's decision confirms that AI is the next natural step in business automation. Contestants like Salesforce and Microsoft also invest heavily in this direction. According to the company's official statement, new agents will be available in the next versions of the platform, with global support. For those accompanying the sector, it is clear that the hybrid workforce — humans and AI agents — will be the standard in the coming years.Frequently Asked Questions About Corporate AI Agents
Will these agents replace human employees?
Nope. ServiceNow positions agents as assistants that increase human work, automating repetitive tasks and releasing employees for strategic activities.Is the functionality already available in Brazil?
ServiceNow did not release specific dates, but the expectation is that new agents will be included in the next global platform updates available to Brazilian customers.What are the technical requirements to implement?
You need to have the ServiceNow platform active and additional licenses for automation modules. The company offers preconfigured models and support for integration.---
Source: Let's Data Science
Source: letsdatascience.com

Written by
Manu RamalhoSou Manu Ramalho, publicitária com 16 anos de estrada conectando marcas e pessoas. Como fundadora da EME Marketing Digital, sempre busquei o marketing estratégico para gerar conexões autênticas. Aqui, mergulho na fronteira da inteligência artificial como analista de tendências. Meu foco é traduzir a complexidade de NLP, novos modelos de linguagem e papers acadêmicos para o mundo real, sempre com um olhar atento à regulamentação, ética e aos impactos sociais que essa tecnologia imprime na nossa sociedade.


