With brokers, functions and new workflows, enterprises will inevitably want a approach to take a look at all of the AI they use.
ServiceNow’s new AI Management Tower, launched this month, presents a holistic view of your entire AI ecosystem. The corporate additionally introduced its personal agentic communication system, which helps current protocols.
AI Management Tower acts as a “command center” to assist enterprise prospects govern and handle all their AI workflows, together with brokers and fashions.
The AI Management Tower lets AI methods directors and different AI stakeholders monitor and handle each AI agent, mannequin or workflow of their system — even third-party brokers. It additionally offers end-to-end lifecycle administration, real-time reporting for various metrics, and embedded compliance and AI governance.
The thought round AI Management Tower is to provide customers a central location to see the place the entire AI within the enterprise is.
“I can go to a single place to see all the AI systems, how many were onboarded or are currently deployed, which ones are an AI agent or classic machine learning,” stated Dorit Zilbershot, ServiceNow’s Group Vice President of AI Experiences and Innovation, in a press briefing. “I could be managing these in a single place, making sure that I have full governance and understanding of what’s going on across my enterprise.”
She added that the platform helps customers “really drill down to understand the different systems by the provider and by type,” to grasp threat and compliance higher.
A holistic view of AI methods
Enterprises have begun deploying, even when simply by small pilot applications, brokers and AI-powered workflows. Nonetheless, as with onboarding totally different SAAS suppliers or software program, dropping monitor of those AI options is simple.
Different firms have additionally begun providing prospects a approach to view and handle all their AI methods, particularly to observe agent conduct. Author just lately launched its AI HQ platform, which can embody an observability function.
ServiceNow has been contemplating agent administration because it started providing pre-built AI brokers to enterprises in September final 12 months. The corporate’s agent library permits prospects to decide on the agent that most closely fits their workflows, and it has built-in orchestration options to assist handle agent actions. Since then, the corporate has begun increasing the variety of brokers it presents in its agent library to focus on extra use circumstances for enterprises.
Agent Material
ServiceNow additionally unveiled its AI Agent Material, a approach for its agent to speak with different brokers or instruments.
The corporate stated Agent Material will work with different agentic communication protocols like Mannequin Context Protocol (MCP) from Anthropic, AGNTCY from Cisco and Google’s Agent2Agent (A2A).
Zilbershot stated ServiceNow will nonetheless help different protocols and can proceed working with different firms to develop requirements for agentic communication.
“When we look at the AI Agent Fabric, it’s less about the protocol and more about the capability. At this point, we really look at ourselves as an open platform, and we will be able to support all the common protocols that are available out there and make sure that our customers can benefit from all these great innovations,” she stated.
AI Agent Material is out there to early adopters however will typically be accessible within the third quarter.
Many enterprises have been serious about getting brokers from one firm to speak to a different agent from one other firm or constructing on a distinct system. Interoperability might gasoline an excellent larger increase of AI brokers as a result of brokers are now not confined to 1 system and might get context and information from one other to satisfy duties. However regardless of standard protocols like MCP and A2A, the trade has but to select a regular interoperability protocol, primarily as a result of these have solely been round for a number of months.
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