Get your own multi-agent Agentic AI system built in 2 weeks. Deploy autonomous AI agents 10X faster: from software testing and customer service to complex workflows.
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AI agents are no longer new, but most enterprise implementations still fail. The problem isn’t a lack of agents; it’s poor architecture, lack of orchestration, and fragile design.
Enterprises take 6+ months to pilot agentic AI systems.
40% of agentic AI projects won’t scale and will be cancelled by 2027.
Unclear RoI for popular agentic AI use cases like employee chat workflows.
Enterprises focus on “more AI agents” rather than scalable agentic AI architectures.
Our solution
Scale autonomous AI operations with your own multi-agent system that maintains enterprise security and compliance across all workflows, from customer service to complex business processes.
Supervisor agent
Acts as the central coordinator, managing workflows, enforcing constraints, and ensuring quality control across all agents.
Specialist agents
Purpose-built agents that perform a single task accurately and efficiently.
Central agentic AI handler
The execution environment that routes requests, maintains state, and connects agents into seamless workflows.
Agent orchestration
Structured processes to ensure outputs from one agent become valid inputs for others, enabling complex, multi-step automation.
State management
Maintains the complete state of workflows in real time, ensuring every agent has the context it needs and preventing data loss across complex processes.
Constraint enforcement
Applies operational and compliance limits at every step, terminating workflows when thresholds are breached and passing validated constraints to specialist agents.
Decision logic
Interprets outputs from agents, deciding whether to proceed, refine, or halt. This ensures workflows are dynamic, adaptive, and aligned with enterprise goals.
Quality control
Validates the structural integrity of agent outputs (e.g., JSON correctness, format validation) before acceptance, preventing corruption downstream.
How does it work?
Over 70% of AI agent projects never reach production. Consider GoML's Agentic AI Accelerator that ensures your agentic AI system does not die in POC.
GoML's Agentic AI Accelerator is a combination of ready-to-use multi-agent frameworks, pre-configured AWS architecture, Bedrock integrations, deployment templates, and enterprise governance patterns for seamless build and integration. If you want to build your autonomous agentic AI system, whether for healthcare or finance or operational workflows, adapting our Agentic AI Accelerator will get you there faster.
Integrate with popular agent platforms and Amazon Bedrock to give you the right tech stack for scaling your agentic AI system securely and cost effectively.
How to use?
From software testing to financial data analysis, GoML’s Agentic AI Accelerator is the foundation for many autonomous systems.
Here are some ways companies have adapted our accelerator for their own requirements.
Stop settling for simple AI chatbots and automations. Automate complex multi-step workflows with GoML's mlti-agent agentic AI framework built for scale, compliance, and real outcomes.
An API calls can handle single tasks, but we orchestrate complex workflows with intelligent agent coordination, state management, and enterprise-grade reliability.
Access to multiple foundation models through Amazon's secure infrastructure means you're never locked into one AI approach or vendor dependency.
Full audit trails, agent tracking, and governance workflows that actually work. We've already solved the compliance challenges that stop other agentic AI solutions from scaling.
20+ multi-agent agentic AI systems deployed across healthcare, finance, education, and others. We know what works because we've built autonomous agentic AI systems that work at scale.
Our Agentic AI Accelerator means you're not starting from scratch. Proven architectures and battle-tested agent patterns get you to production faster.
Have questions or ready to get started?
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