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Autonomous AI Agents

Smart Agents

Let agents do the work themselves, while how far they may go stays your decision.

Smart Agents help carry out recurring operational steps within defined triggers and permissions. The goal is to turn follow-up and routing work into visible rules, not to create an opaque automation layer.

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Smart Agents in action

Menus, filters, and record flows work in the real interface. Explore freely with sample data.

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Sample data
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Smart Agents

The real Rocketly interface with sample data. No sign-up, none of your data is used.

What you can do

  • Agent roster and knowledge base

    Each agent gets its own system prompt and a knowledge base fed by documents, websites or FAQs. You try it out in the test chat before going live.

  • Write permissions

    An agent can only perform the actions you tick: opening a task, updating a lead status, sending a WhatsApp message. Everything else stays out of reach.

  • Approval policy and autonomy

    Choose between human approval, reversible auto and fully automatic. Autonomy by topic lets sensitive subjects carry a rule of their own.

  • Safety guardrails

    Forbidden topics, things never to reveal, conditions for escalating to a human and a blocked-action list add a second boundary on top of permissions.

  • Deterministic playbooks

    Define steps that run in order, a trigger and a condition; the agent follows the flow you wrote instead of deciding freely. Dry-run simulates it first.

  • Preview, cap and audit trail

    Run with no write side effects, set a monthly credit cap, and follow every execution and everything awaiting approval from the history.

A REAL SCENARIO

A real working day

The flow that helps a team decide before a meeting

Catching leads that arrive overnight

Leads dropping in from the form at night used to wait until morning. When a new lead arrives the agent runs the playbook, tidies the record, opens a follow-up task and sends the first message. Critical actions such as sending a quote wait in the approval queue, and the rep starts the day by clearing that list.

Who is it for?

They fit operations teams that need the same rule for recurring work such as lead routing, task creation, or standard follow-up.

SETUP PLAN

How to start

03clear steps
  1. Choose one low-risk recurring step.

  2. Define the trigger, owner, and reversal path explicitly.

  3. Start in a limited scope and review outcomes and exceptions.

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ANSWER CENTER

Frequently asked questions

Explore the questions teams ask before deciding, with short and direct answers.

Open a question to see the scope of the product and its practical boundaries.

What exactly does Smart Agents do?

Smart Agents help carry out recurring operational steps within defined triggers and permissions. The goal is to turn follow-up and routing work into visible rules, not to create an opaque automation layer.

Who is Smart Agents for?

They fit operations teams that need the same rule for recurring work such as lead routing, task creation, or standard follow-up.

What can I do with Smart Agents?

Agent roster and knowledge base: Each agent gets its own system prompt and a knowledge base fed by documents, websites or FAQs. You try it out in the test chat before going live. Write permissions: An agent can only perform the actions you tick: opening a task, updating a lead status, sending a WhatsApp message. Everything else stays out of reach. Approval policy and autonomy: Choose between human approval, reversible auto and fully automatic. Autonomy by topic lets sensitive subjects carry a rule of their own. Safety guardrails: Forbidden topics, things never to reveal, conditions for escalating to a human and a blocked-action list add a second boundary on top of permissions. Deterministic playbooks: Define steps that run in order, a trigger and a condition; the agent follows the flow you wrote instead of deciding freely. Dry-run simulates it first. Preview, cap and audit trail: Run with no write side effects, set a monthly credit cap, and follow every execution and everything awaiting approval from the history.

What does Smart Agents look like on a real working day?

Catching leads that arrive overnight. Leads dropping in from the form at night used to wait until morning. When a new lead arrives the agent runs the playbook, tidies the record, opens a follow-up task and sends the first message. Critical actions such as sending a quote wait in the approval queue, and the rep starts the day by clearing that list.

How should a team start with Smart Agents?

Choose one low-risk recurring step. Define the trigger, owner, and reversal path explicitly. Start in a limited scope and review outcomes and exceptions.

What does Smart Agents not replace?

An agent cannot exceed permissions it has not been given. Customer communication, money movement, and policy changes that require approval should not be automated without human control.

Which industry was Smart Agents verified for?

The verified industry scenario for Smart Agents is Digital Agency. The industry page shows that end-to-end workflow. Other products used alongside it in the same scenario: GEO Visibility.

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