What is an AI operations platform?
An AI operations platform coordinates specialist AI agents, tools, workflows, files, approvals, and outputs so business work can be executed from a single request instead of managed across disconnected apps.
Real workflows
Your AI team chains tools together automatically. Here's what a single prompt sets in motion.
Prompt
“Launch a Black Friday campaign across all ad platforms”
Execution
Getting started
No sales call. No onboarding deck. Sign up, connect your keys, and start talking to your AI team.
Sign up with Google SSO or email. Your isolated tenant is provisioned instantly - database, vault, and permissions included.
Add your OpenAI, Google, or any third-party keys to the encrypted vault. Each key is scoped to your company and never shared.
Open the chat interface and describe what you need. Your AI team picks the right agents and tools automatically.
Agents execute autonomously and deliver results. Review outputs, approve actions, and iterate - all from the same conversation.
Launch workflows, review results, and approve deliverables - all from your phone.
Integrations
Cloud services, local desktop apps, and custom APIs - all connected through the Model Context Protocol.
4 connected services
Connect desktop tools directly
Design tools, editors, browsers, and terminals - connected through local MCP servers.
Build your own in hours
Define a handler, connect any API. The MCP protocol makes it simple.
Enterprise ready
Enterprise-grade security, compliance, and operational control from day one.
JWT authentication with SSO (Google, SAML). Every API call is authenticated and authorized.
Complete data isolation per company. Your data never mixes with anyone else's - enforced at the database layer.
Every tool execution is visible and requires approval. Full audit trail of all AI actions.
Per-user encrypted vault for API keys and secrets. No shared credentials.
Real-time billing by provider and model. Set budgets and track spend.
Granular RBAC - control who accesses which tools and data.
FAQ
Short answers for teams comparing AI operations platforms, automation builders, and single-model chat tools.
An AI operations platform coordinates specialist AI agents, tools, workflows, files, approvals, and outputs so business work can be executed from a single request instead of managed across disconnected apps.
A chatbot mainly answers prompts. UnaGo plans work, assigns specialist agents, calls connected tools through MCP, coordinates serial and parallel tasks, and returns finished outputs such as campaign plans, research briefs, media assets, CRM updates, and operational reports.
Zapier and Make automate predefined app-to-app sequences. UnaGo starts from a natural language goal, plans the work, chooses the right agents and tools, runs multi-step execution, and keeps human approval in the loop where needed.
UnaGo connects to AI models, media generation tools, advertising platforms, CRM systems, research sources, storage, browser automation, developer tools, and internal APIs through Model Context Protocol integrations.