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Rival Enterprise

What is an agent

An agent is an AI worker that takes action toward a goal. You give it instructions, context, and a set of tools, and it carries out real work — not just answering a question, but doing the task.

Unlike a standard AI chatbot that only writes text or answers questions, an agent actually carries out work across your connected company apps. That is the whole difference: a chatbot gives you a text answer, an agent uses functions to complete an actual task.

The four main parts of an agent

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  • Goal — the clear task assigned to the agent, such as sorting support tickets, checking expense reports, or researching new sales leads.
  • Context — the background instructions and guidelines the agent uses to make good decisions and follow company tone.
  • Knowledge base — the company documents, PDFs, manuals, or database files attached to the agent so its work is grounded in your organization’s actual facts.
  • Functions — the approved action capabilities the agent can perform across your software, such as sending an email, looking up a record, or updating a spreadsheet.

Keeping agents safe with enterprise governance

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Autonomous AI workers never operate without supervision inside Rival. Admins set clear safety boundaries to keep work secure:

  • Pre-approved tools — team members adopt agents, workflows, functions, and MCP servers that IT and security leads have already reviewed and approved.
  • Strict permission boundaries — an agent can only see and touch the specific data and functions its assigned role permits.
  • Human approval gates — important actions, like updating database records, committing funds, or sending external emails, pause for human sign-off before anything is changed or executed.

A quick example: sorting support tickets

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  1. Read and analyze — a new ticket comes in and the agent reads the customer’s message.
  2. Look up and draft — the agent checks your CRM using a connected function, categorizes how urgent the issue is, and drafts a helpful reply.
  3. Ask for approval — before sending anything, the agent pauses and sends the draft to a human team member for review.
  4. Approve and send — the team member clicks Approve, and the agent sends the message and updates the ticket status.

The agent handles the repetitive data gathering and drafting behind the scenes, while a human keeps final say over what gets sent to the customer.

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