Core Capabilities
Everything you need to build, govern, and run AI agents in production.
Visual Agent Canvas
Drag-and-drop nodes to design multi-step agent workflows: task decomposition, tool calls, conditional branching, parallel fan-out, and human-in-the-loop checkpoints. No agent framework boilerplate required.
MCP Tool Registry
Connect agents to any tool via the Model Context Protocol (MCP) — NinjaOne, SentinelOne, Microsoft 365, Slack, Teams, Google Workspace, Supabase, and your own internal APIs. New connectors deploy in minutes.
Governance & Kill-Switch
Every agent runs inside a permission envelope: approved tools, maximum spend, human approval gates, and a global kill-switch. Anomaly detection pauses agents that exceed defined boundaries before they cause harm.
Full Audit Trails
Every agent action is logged: tool called, parameters passed, response received, decision made, and output produced. Structured audit logs export to your SIEM or compliance platform with one click.
Scheduled & Event-Triggered Runs
Trigger agents manually, by webhook, by cron schedule, or via upstream agent handoff. The run queue manages concurrency, retries, and failure alerting — agents that fail send a Slack or Teams notification with context.
Multi-Tenant Agent Deployment
Deploy the same agent across multiple client tenants with per-tenant configuration and tool credentials. Each tenant’s agent run history, logs, and data are fully isolated — one build, many deployments.
Pricing
Flat monthly pricing. No per-agent-run fees.
Starter
Starter
Up to 5 active agents, 3 tool connectors, scheduled runs.
- 5 active agents
- 3 MCP tool connectors
- Visual canvas builder
- Scheduled & webhook triggers
- Full audit logs
Professional
Professional
Up to 20 active agents, unlimited connectors, multi-tenant deployment.
- 20 active agents
- Everything in Starter
- Unlimited MCP connectors
- Multi-tenant agent deployment
- Human-in-the-loop checkpoints
- SIEM audit log export
Enterprise
Custom
Unlimited agents, white-label client portal, dedicated agent engineer, SLA.
- Everything in Professional
- Unlimited agents
- White-label client portal
- Dedicated agent engineer
- Contractual SLA guarantee
FAQ
Common questions about AiT Agent Studio.
What is an AI agent and how does AiT Agent Studio help?
An AI agent is a system that takes a goal and autonomously executes multi-step tasks using tools and reasoning. AiT Agent Studio provides a visual canvas to design agent workflows, connect to tools via MCP, configure guardrails, and deploy to production — without writing infrastructure code.
What tools can agents connect to?
Agents built in AiT Agent Studio can connect to any tool with an MCP server, REST API, or webhook — including NinjaOne, SentinelOne, Microsoft 365, Slack, Teams, Google Workspace, Supabase, and your own internal APIs.
How are agents governed and kept within bounds?
Every agent runs within a configurable permission set: approved tools, maximum spend, human-in-the-loop checkpoints, and kill-switch triggers. All actions are logged with full audit trails — every tool call, decision, and output is recorded.
Can agents run on a schedule?
Yes. Agents can be triggered manually, by webhook, by schedule (cron), or by upstream agent handoff. Scheduled agents are managed through the Agent Studio run queue with retry and failure alerting.
Is Agent Studio available as a white-label product for our clients?
Yes on Enterprise plans. Clients get a branded portal to view running agents, approve checkpoints, and review audit logs — without seeing Intelligent IT branding.
Ship your first governed AI agent this week.
Book a 30-minute walkthrough. We build a live agent against your toolstack and show you exactly what it takes to go from canvas to production.
Page as of 2026-06-24. Pricing reflects current AiT Agent Studio reference tiers; final scope confirmed in discovery. Manuel Ruiz, Founder / CEO / CISO. © Intelligent Group (DBA Intelligent iT) · intelligentit.io