Agent Studio

The control plane for
enterprise AI agents

48 hours
First agent deployed from onboarding to production
0
Data migrations required to connect existing systems
Any LLM
Model-agnostic. Configure and govern any provider.
100%
Audit trail coverage across every agent step and system.

A control plane, not another agent builder

Most enterprise teams don't lack AI agent capabilities. They lack a centralized environment to manage, govern, and scale them. Agent Studio is that environment. It’s the layer that sits between your enterprise systems and your deployed agents, giving you control over how those agents operate in production. Unframe delivers AI solutions for specific business functions. Each solution is composed of task-level agents that handle individual steps across a workflow. Agent Studio is where those agents are configured, orchestrated, and governed as a single system.
Core Capabilities

Six modules that make agents operational

Each module addresses a distinct requirement for running agents in a production enterprise environment, so they operate as part of a system, not in isolation. Configure what you need for your first workflow, then expand from the same platform as your use cases grow.

Create and configure agents

Rapidly create AI agents using predefined templates aligned to enterprise workflows. Control which tools agents use, what data they access, which models power them, and how they interact with your systems. All without rebuilding integrations for each new agent.

Template library for common enterprise workflows
MCP-compatible connectors for internal APIs and external services
Natural language configuration. No engineering for setup

Establish enterprise context

Agents run on your instance of the our Knowledge Fabric, which is a shared context layer connecting your enterprise data, systems, and organizational knowledge. You get to teach the system how information should be interpreted, in natural language.

No data migration required. Connects to existing systems
Context updates propagate across all agents instantly
Shared institutional knowledge compounds with each new use case

Validate before production

Before any agent touches live systems, test it interactively in Agent Studio. Simulate interactions, observe exactly how it queries data and selects tools, and refine configuration until behavior is exactly right. No surprises after deployment.

Interactive simulation environment against real data shapes
Output evaluation tools to verify agent reasoning
Configuration refinement without code changes

Inspect every agent run

Administrators can inspect the complete execution record for any agent run. Know which steps it took, what queries it executed, which tools and systems it accessed, and how it arrived at its outputs. This is the level of auditability that takes AI agents from experimental to trustworthy.

System and tool access audit trail
Configurable governance policies per agent
Human-in-the-loop approval gates for high-stakes actions
Built for compliance and regulated industry requirements

Configure for central governance

Agent Studio supports a flexible multi-model architecture. Configure supported providers, set model availability across your environment, and align agent behavior with internal standards for cost, performance, and governance. Swap models without rebuilding agents.

Multi-provider support. You’re not locked to any single LLM
Centralized model governance and availability controls
Align model selection to cost, quality, and compliance requirements

Deploy new agents in hours

Once validated, agents deploy through APIs and integrations. Because every agent runs on the shared Knowledge Fabric and, each new one inherits existing connectors and context patterns. Your first deployment is the hardest. Every one after it gets faster.

API-first deployment into enterprise environments
Shared infrastructure. No rebuilding integrations per agent
Compounding velocity across use cases
Use Cases

Agent Studio across the enterprise

Agent Studio is the control plane and the use cases it supports are determined by your workflows, not by the platform's limits. These are some examples of how our customers use the studio, as workflows powered by multiple agents working together:
Demand forecasting
Supplier document processing
Purchase order reconciliation
Inventory exception monitoring
Logistics coordination
Vendor compliance tracking
Enterprise search
Incident triage and routing
Risk detection and monitoring
IT ops workflow automation
System health reporting
Contract review and extraction
Regulatory change monitoring
Compliance reporting
Audit trail management
Policy validation processing
Workflow automation
Document processing
Data extraction at scale
Cross-system orchestration
Exception routing
Conversational agents
Research and synthesis
Internal copilots
Knowledge retrieval
Onboarding automation

Where Agent Studio fits

Capabilities

Agentic AI Building Blocks

The core capabilities that power every Unframe agentic solution: search and retrieval, reasoning and analysis, extraction and structuring, automation and orchestration.

How it runs

Agent Studio

The control plane where those building blocks become configured, tested, governed, and deployed agents running across your enterprise systems.
What you get

Agentic AI Solutions

Unframe delivers AI solutions for specific business functions, not isolated tools. Each solution is powered by multiple agents working together across a workflow.

Explore the platform

Discover how Unframe works, our building blocks approach, and more.
Learn more
Integrations

Integrate with anything. Fast.

We know how complex and unique your tech stack is. That’s why Unframe has unlimited integrations, to any system you might use.
Any SaaS
Any API
Any DB
Any File
Any Environment

See Agent Studio in a live demo

Book a 30-minute demo and see Agent Studio configured for a real enterprise workflow. We'll walk through agent creation, execution tracing, governance controls, and deployment.
Book a demo