Agent Workflows

AI Workflow Automation

Give an agent a trigger, your tools, and a goal. It works out the steps on every run, records each one, and stops for your approval before anything risky — no code required.

AI workflow automation puts an AI agent where a rule-based tool needs a fixed branch. In Ideople, a trigger (a schedule, webhook, message or new table row) starts an agent that decides its own steps, acts through your integrations, and pauses for approval before high-risk actions. Unlike Zapier or Make, there is no canvas to wire: the agent plans the work on each run. Free plan available.

Built for speed

82

Integrations

263

Ready-made actions

Every step

Traced and timed

24/7

Runs without you

3 steps

Set Up an Agent Workflow

1

Describe the Job

Tell the agent creator what the work is in plain English, or start from a template in the agent library.

2

Connect Tools and a Trigger

Connect the integrations it may use and choose what starts it: a schedule, a webhook, a message, or a new row in a table.

3

Approve and Watch

Runs start on their own. Approve risky actions when they pause, and read the step-by-step trace of every run.

Building blocks

What a Run Is Made Of

Triggers

Start a run on a schedule, a webhook, a Slack or WhatsApp message, a business event posted to the API, or a new row in a datatable.

Agents with tools

An agent decides which of 263 actions to take across 82 integrations, and can hand a sub-task to another agent.

Datatables

Spreadsheet-style tables where a column can be an agent (one run per row) or a direct integration call. Columns that depend on each other run in order.

Plan-first runs

For bigger jobs the agent writes a step-by-step plan first, including steps that run side by side and join. A plan that touches risky tools waits for your approval.

Approvals

Sending email, deleting records, publishing: high-risk actions pause with the exact arguments for you to approve or reject. Approving continues the run where it stopped.

Run trace and safe retries

Every step is recorded with its tokens and duration. Retrying a failed run replays the actions that already succeeded instead of doing them twice.

Build the workflow

See the workflows your business should ship first

Take the 2-minute audit. We'll match the workflow patterns above against the work eating your week and recommend the highest-leverage automation to ship next.

Comparison

Ideople vs n8n

Agents that plan the steps vs a canvas you wire by hand.

Ideoplen8n
Autonomous AI agents
Visual canvas editor
Build by describing it in plain EnglishPartial
Agent columns on a table (one run per row)
Risk grading on every action
Fully managed, no serversn8n Cloud
Self-hosted option
Free planYesSelf-hosted

FAQ

Frequently Asked Questions

AI workflow automation is a run of automated steps where an AI model makes the decisions a rule cannot: reading an email to decide what it is, researching a lead before scoring it, drafting a reply in context. The automation still starts from a trigger and acts through your tools; the AI decides what happens in between.
No. Ideople is built around agents, not a node canvas. You describe what the agent should do, give it tools and a trigger, and it works out the steps on each run. For bigger jobs it writes a plan first, which you can review. If you want to wire every branch by hand on a canvas, n8n or Make suit that better.
Zapier and Make run the steps you wired, in the order you wired them. Ideople agents decide the steps on each run, act through the same kind of integrations, and stop for your approval before anything high-risk. Choose Zapier or Make for fixed, predictable automations; choose Ideople when each case needs judgement.

Ready to Automate Your Workflows?

Start from a template in the agent library, or describe the job and let the agent creator set it up.