Resolve, the leader in agentic automation and orchestration, has announced the next generation of AgentLab, its enterprise platform for building, testing, governing, and deploying AI agents. The latest release is designed to accelerate the enterprise shift to autonomous operations by making it easier to create trusted AI agents capable of reasoning through work and autonomously resolving requests from start to finish.
Built on the Resolve platform, the new AgentLab combines natural-language agent creation, reusable skills, AI-assisted workflow building, and governance-aware deployment practices to help enterprises operationalize enterprise AI at scale.
As enterprises race to adopt AI, many remain trapped between copilots that only make recommendations and automation tools that require extensive scripting and constant maintenance. AgentLab bridges that gap by combining intelligent reasoning with enterprise-grade orchestration, allowing organizations to build AI agents that understand context, make governed decisions, and execute work across the technology stack.
Advanced Agent Studio for Natural Language Creation
Teams can create enterprise AI agents using plain-language instructions. The studio allows organizations to define an agent's role, responsibilities, departments, operating boundaries, and guardrails without starting from code.
Skill and Workflow Building with Reusable Automation
Users can save their Jarvis-created workflows as callable skills that allow custom agents to recommend next steps or take action through Resolve orchestration when enabled. Teams can extend the agent with skills and workflows that connect to the systems and automations already governed by Resolve.
Prompt Improvement and Governed Orchestration
An "Improve Prompt" capability helps teams strengthen agent instructions, so agents are clearer, more consistent, and better aligned to the intended role and use case. When agents are connected to action skills and workflows, they inherit the guardrails and controls already configured in Resolve's deterministic orchestration engine, helping enterprises keep agent behavior aligned with existing policies.
Agent Testing and Permission Confidence
AgentLab allows teams to test agent behavior, roles, and permission confidence before expanding use, helping organizations validate whether an agent is ready for broader deployment. The platform provides a complete environment to build, validate, and continuously improve agents before they take action in production.
AgentLab is available as part of the Resolve Platform.
The announcement positions AgentLab as the foundation for autonomous operations at scale, enabling IT and business teams to transform reactive workflows into proactive, self-healing systems and automate manual workflows across the enterprise technology stack.
About Resolve
Resolve is redefining IT and network operations with an agentic automation and orchestration platform built for the autonomous enterprise. Its platform automates manual workflows to detect, diagnose, and resolve reuqests and incidents before they impact the business. By transforming reactive workflows into proactive, self-healing systems, Resolve slashes ticket volume and alert noise by up to 90%, reduces MTTR from hours to minutes, and empowers IT teams to scale without increasing staff
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