Build Autonomous Agents That Actually Run Inside Your Operations.

Agentic Studio lets you configure AI agents that reason, decide, and act, connected to your models, your systems, your knowledge, and your governance. Not agents you build and then spend months integrating.

AgenticStudioPro
RAP
Agentic Workgroups > Create with AI

Craft agents. Let automation do the heavy lifting.

Model: GPT-4o
Customer Support Triage
Route and classify incoming tickets by urgency and department
Invoice Data Extraction
Extract line items, totals, and vendor info from invoices
RFQ Response Generation
Match parts, pull pricing, and draft quotes from incoming RFQs

Describe It. Configure It. Deploy It.

Describe what you want to build.

Tell the platform your goal in plain language. It generates a workgroup with supervisor, workers, and tools.

Configure every detail.

Set prompts, boundaries, LLM provider, tools, knowledge bases, and guards per agent.

Run it as part of your operation.

Deploy and see work in Orchestrator, governed by VerifyMe, connected to systems.

Multiple Supervisors. Multiple Workers. Real Delegation.

Real operations don't run on a single agent. A supervisor agent coordinates multiple worker agents, each with their own tools, knowledge, and boundaries. The supervisor delegates, the workers execute, and the results come together as one completed task. This mirrors how your teams actually work, a manager delegates to specialists.

RFQ_Supervisor
Supervisor
Extract Data
Parse RFQ documents and extract line items
Worker
Match Parts
Cross-reference against product catalog
Worker
Validate Pricing
Pull current pricing and check margins
Worker
Update CRM
Push completed quotes to Salesforce
Worker

Governance Is Not an Afterthought. It's Per Agent.

Every agent in Agentic Studio has governance built in at the individual level. Not a blanket policy across the platform. Each agent gets its own rules.

LLM Guards

Add guards that inspect and control inputs and outputs of the LLM. Per agent. Define what goes in, what comes out, and what gets blocked.

Boundaries and Escalation

Set max iterations, define output types, and configure when the agent should stop and escalate to a human or a supervisor agent.

Knowledge Scoping

Connect each agent to specific knowledge bases. The agent only sees what you want it to see. No cross-contamination between workgroups.

Observability

Every stage of every AI operation is transparent and trackable. You see what the agent did, why it did it, and what data it used.

Let AI Reason, Decide, and Act on Your Terms.

See how agentic AI fits into your operation. We'll show you where it works and where it doesn't.