Deliver value with Profit Blueprint Hub AI Agents
Empower every corner of your business with AI agents that don’t just assist—they act on your behalf.
Unlock productivity at scale
Our AI agents can solve essential business challenges autonomously, accelerating outcomes and empowering people with a skilled digital workforce without limits, so they can focus on their best work.
One platform as your AI control Hub
Orchestrate, analyse and govern AI agents, whether native or from a third-party, on the Profit Blueprint Hub Platform, a single, trusted platform for your business.
Go beyond "better chatbots"
Guided by the AI Agent Orchestrator, teams of AI agents autonomously collaborate across IT, HR, CRM and more—or you can build custom solutions with AI Agent.
Built-in, + Add what you need
Only Profit Blueprint Hub unites native AI agents, data and workflows on a single, scalable platform — providing trust, efficiency and seamless integration. Start with the basics and scale.
Put AI to work for people
What is an AI agent?
AI Agents are embedded in the ServiceNow Platform for seamless implementation. This enables AI agents to collaborate across departments, making use of your existing workflows and data to solve complex business problems. With options to build custom AI agents or use prebuilt solutions, your ServiceNow AI Agents are tailored to your needs while maintaining scalability and efficiency.
What's the role of the AI agent?
An AI agent’s role defines its purpose, objectives, behaviour and how it interacts with users. Think of it as the “why”—the reason you’re deploying AI agents. The role can be defined using natural language rather than code. Here’s an example: You’re an enterprise IT agent and your goal is to efficiently address and resolve password reset issues for employees.
How are AI agents built?
Building AI agents involves these key steps:
- Set up tools and models. Choose a language model and configure it with an API key for seamless integration.
- Develop skills. Create specific functions, or skills, that enable agents to perform tasks like retrieving data or generating outputs.
- Configure agents. Assign skills and models to agents, defining their roles and responsibilities based on the tasks they need to complete.
- Design workflows. Plan and organise how agents interact and collaborate to execute multi-step processes.
- Test and iterate. Continuously test workflows, refine agent behaviour and use feedback to improve performance.
What are some benefits of AI agents?
AI agents improve productivity by automating repetitive tasks, enabling employees to focus on higher-value work. They enhance efficiency, reduce costs and deliver consistent, reliable results. By analysing real-time data, they support informed decision-making and scale effortlessly to meet growing demands. Additionally, AI agents deliver personalised customer support, boosting satisfaction and loyalty.
ServiceNow AI Agents, powered by the ServiceNow Platform, integrate deeply with enterprise workflows to improve efficiency and innovation.
What is conversational AI?
Conversational AI uses natural language processing (NLP) to enable software to understand, process and respond to human conversations in text or voice. It provides personalised, multilingual support and automates interactions.
What data do AI agents use?
AI agents can use your business data to fulfil their missions and deliver personalisation. The data can include knowledge articles, platform data and information from other systems accessed through the Integration Hub and Workflow Knowledge Database.
How do AI agents work?
AI agents operate through a structured process. They begin by defining goals and planning tasks, then they gather relevant data from various sources and use machine learning models to make decisions. Once tasks are executed, AI agents monitor results, incorporate feedback and adapt their approach. This continuous learning and improvement allows AI agents to refine their performance over time and handle complex tasks more effectively.
What is an LLM?
An LLM (large language model) is a deep learning-based AI that uses transformer models—sets of neural networks made up of encoder and decoder pairs—to understand and generate text. Trained on extensive datasets, it uses self-attention to process relationships in language, serving as a generative AI for creating content.
What's the difference between an AI agent and a chatbot?
AI agents are more advanced than chatbots, offering dynamic, context-aware conversations, continuous learning and personalised responses. They integrate seamlessly with systems, scale efficiently and can make autonomous decisions based on real-time data. In contrast, chatbots are better suited for simpler interactions, rely on predefined actions and lack the adaptability and decision-making capabilities of AI agents.
What is generative AI?
Generative AI is a type of artificial intelligence that creates new content—such as text, images, music and code—based on patterns learnt from data. It automates content creation and problem-solving, enabling businesses to work more efficiently. Tools like Now Assist for Search integrate these capabilities seamlessly into existing systems.