AI Flowi Workflow: Visual AI Workflow Software

AI Flowi Workflow is a visual workflow builder from Ai Flowi (aiflowi.com, operated by AI FLOWI SDN. BHD.) for building AI agents, chatbots and automations from drag-and-drop components.

Go is USD8/month billed yearly (USD96/year) or USD10/month billed monthly.

Plus is USD16/month billed yearly (USD192/year) or USD20/month billed monthly.

Pro 100 is USD80/month billed yearly (USD960/year) or USD100/month billed monthly. Pro 200 is USD160/month billed yearly (USD1,920/year) or USD200/month billed monthly. Pro 500 is USD400/month billed yearly (USD4,800/year) or USD500/month billed monthly.

Tokens included each month: Go: 5,000; Plus: 10,000; Pro 100: 50,000; Pro 200: 100,000; Pro 500: 250,000. Each node run uses 1 Flowi Token. Build a workflow by connecting typed components — triggers, AI models, custom code and business-tool connections — on a visual canvas, or generate a starting point with Ask AI and review it before you use it.

Quick answer: Build an AI Flowi workflow by connecting typed components on a visual canvas, or review an Ask AI starting point before using it.

Facts checked 9 October 2026

By Ai Flowi · Technical review: Janice Lee, Technical Support, Ai Flowi.

Book a Demo → See how Ask AI builds a workflow →

AI Flowi Workflow · Workflow canvas
AI Flowi Workflow visual editor canvas showing connected workflow components with typed input and output ports
  1. 01 Build visually
  2. 02 Editor and components
  3. 03 Open the Playground

AI Flowi Workflow visual editor

Workflow canvas and settings

  1. Build visually.

    Assemble a workflow from components on a visual canvas, connecting typed inputs and outputs.

    Source: How it works
  2. Editor and components

    Visual, component-based workflow editor with typed input/output connections

    Source: Editor and components
  3. Open the Playground

    Open the Playground and send a short test message, such as “Explain what a workflow is in one sentence.”

    Source: Your first workflow
  4. Settings > Google Connections

    Open Settings > Google Connections and authorize the Google account you want to use.

    Source: Google connection guide
AI Flowi Workflow connection settings screen under Settings, showing where a Google account is authorized
AI Flowi Workflow · SettingsGoogle Workspace connections

Universal Webhook → JSON Operations (JQ) → Append Rows

Editor test, 1 October 2026 – not a production run

Verified no-model path (tested 1 October 2026)

  1. Universal Webhook

    Enable POST and enter a builder test body with fake data:

    {"name":"<test name>","email":"test@example.com","request":"Workflow demo"}

    Use the editor test controls; this test did not send an HTTP request to the production endpoint.

  2. JSON Operations (JQ)

    Connect the webhook JSON, select JQ Expression, and use

    {values: [[.body.name, .body.email, .body.request]]}

    Return this object, not a bare list: the component wraps list results as {"result": ...}, which failed at Append Rows in this test. The object with values passes through unwrapped.

  3. Append Rows (Google Sheets)

    Connect the JSON Operations output to Rows. Select an authorised Google connection and an app-created test sheet, set its Spreadsheet ID, use a Range such as Sheet1!A:C, and set USER_ENTERED. Run in the editor and inspect the sheet.

  4. Sheet1!A1:C1

    The recorded result was one row at Sheet1!A1:C1:

    <test name> | test@example.com | Workflow demo
    Google Sheet showing one row written by an AI Flowi Workflow test run: a synthetic test name, test@example.com, Workflow demo
    Real output of the 1 October 2026 editor test: one row written to an app-created Google Sheet.

This proof covers only the sample-body editor run and an app-created sheet. Production-endpoint delivery with the platform API key, sheets not created by the app, and field validation were not exercised. Before sharing a production endpoint, follow the webhook authentication guidance; keep credentials and private payloads out of examples.

The no-model result does not establish runtime success for the model-based recipe. Source: Expected result

Source for all replay steps, input, output and limitations: verified no-model path

What AI Flowi Workflow is

Ai Flowi (aiflowi.com) is an AI automation technology company serving businesses globally, operated by AI FLOWI SDN. BHD.; AI Flowi Workflow is Ai Flowi’s visual workflow builder, and AI Agent is its business setup and training offer.

Go is USD8/month billed yearly (USD96/year) or USD10/month billed monthly.

Plus is USD16/month billed yearly (USD192/year) or USD20/month billed monthly.

Pro 100 is USD80/month billed yearly (USD960/year) or USD100/month billed monthly. Pro 200 is USD160/month billed yearly (USD1,920/year) or USD200/month billed monthly. Pro 500 is USD400/month billed yearly (USD4,800/year) or USD500/month billed monthly.

Tokens included each month: Go: 5,000; Plus: 10,000; Pro 100: 50,000; Pro 200: 100,000; Pro 500: 250,000. Third-party API usage is not included. Every plan includes the workflow builder, custom nodes, workflow-link sharing, Ask AI, JSON workflow export, publish app, Marketplace and free and paid connections (Creator Center is available by application and approval only). See pricing

AI Flowi Workflow is Ai Flowi’s visual workflow builder: assemble a workflow from components on a canvas rather than writing an automation from scratch, and extend it with custom code only where you need to. For that balance between configuration and custom code, read the low-code and no-code overview before extending a flow.

It works on typed connections — every component publishes typed outputs and typed inputs, and a connection between two components requires the types to intersect. That is what keeps a visually assembled workflow structurally consistent as it grows. See workflow basics.

  • 514 built-in components as of 28 September 2026
  • 5,000 to 250,000 Flowi Tokens per month included, depending on the plan (Go, Plus, Pro 100, Pro 200 or Pro 500)
  • Go USD8/month billed yearly (USD96/year) or USD10 monthly;
    Plus USD16/month billed yearly (USD192/year) or USD20 monthly;
    Pro 100 USD80/month billed yearly (USD960/year) or USD100 monthly; Pro 200 USD160/month billed yearly (USD1,920/year) or USD200 monthly; Pro 500 USD400/month billed yearly (USD4,800/year) or USD500 monthly
    AI Flowi Workflow plan

How it works

  1. Build visually. Assemble a workflow from components on a visual canvas, connecting typed inputs and outputs.
  2. Choose from a large, documented component catalog. 514 built-in components across 101 categories (as of 28 September 2026).
  3. Extend it with custom code. Custom Python components can define their own typed inputs, outputs and runtime behavior, for cases the built-in catalog doesn’t cover.
  4. Trigger it. Start a workflow from a Universal Webhook (GET, POST, PUT, PATCH or DELETE, with test and production behavior) or a Schedule Trigger.
  5. Generate or refine a starting point with Ask AI. Flow-level Ask AI can analyze the current flow for context, generate a new workflow from a description, import the result as a new flow, or replace the current flow. Replacing a flow always requires your confirmation and includes locked-flow protection, so nothing changes without your review. Node-level Ask AI can explain, diagnose, help configure or suggest improvements to an individual component.
  6. Import, export and migrate. On every plan, workflows export as JSON — the default export path removes credential values, though secrets typed into ordinary text fields are not covered, so keep them out of text inputs. Exports import back in with compatibility handling for older formats, and components can be updated in place while preserving values that still apply.

Use workflow planning tools to check synthetic inputs and estimate node usage before building. Start your component map with the workflow diagram template before estimating the paths you plan to build.

Example workflow for a small business

Illustration – example setup, not a customer result. Sample input: a webhook request with a request type and an invented test identifier. Proposed configuration: validate required fields, route the request through connected components, and prepare a structured output for review. Expected output: the request type and route selected, not a claimed completed action. The team supplies and authorizes its connections, tests missing-field failure, and maintains the flow. No completed run or business outcome is claimed. For documented starting patterns, see AI workflow automation for Malaysian SMEs.

What AI Flowi Workflow does today

Editor and components

  • Visual, component-based workflow editor with typed input/output connections
  • 514 built-in components across 101 categories (as of 28 September 2026)
  • Custom Python components with typed inputs, outputs and runtime behavior

Every plan: AI-assisted building with Ask AI

  • Ask AI, built into AI Flowi Workflow, can analyze the current flow for context, generate a new workflow from a description, import it as a new flow, or replace the current flow after your confirmation — with locked-flow protection applied automatically
  • Node-level: explain a component, diagnose an error, help you configure it, and suggest improvements — advice only; it does not change the component for you

Triggers and connections

  • Universal Webhook — GET, POST, PUT, PATCH, DELETE, with test/production behavior and multiple response modes
  • Schedule Trigger
  • Webhook Response component for flow-controlled webhook replies
  • Google Workspace connections: Docs, Drive, Sheets, Slides

Import, export and lifecycle

  • Import and export workflows as JSON; the default export path removes credential values (secrets typed into ordinary text fields are not covered)
  • Controlled component update and migration that preserves compatible values

Publish a configured web app

AI Flowi Workflow provides a separate Publish Web flow for configuring a web app around a selected workflow. Choose an app type, configure its domain and settings, add branding, then review and publish. This dashboard publishing flow is separate from Ask AI assistance and Ask AI interface generation, which is not available.

Publishing requires the appropriate workspace permission and no outstanding validation errors. Read about web app publishing or follow the publish a workflow guide.

Coming soon

Ask AI interface generation is not available today. Configured web apps can be published to a live web address through Publish Web in AI Flowi Workflow.

Who it’s for

It’s built for teams and builders who want to:

  • Assemble a workflow visually from typed, reusable components rather than write an automation from scratch.
  • Start from a description. Use Ask AI to generate a first version of a workflow, then review, adjust or replace it — the review step is always yours.
  • Extend beyond the built-in catalog with Custom Python components when a project needs logic the catalog doesn’t already cover.
  • Trigger workflows from the outside world — an incoming webhook or a schedule — and read from and write to connected Google Workspace files in Docs, Drive, Sheets and Slides.
  • Move workflows using JSON export and import. The default export path removes credential values; secrets typed into ordinary text fields are not covered, so keep credentials in Connections rather than text inputs.

AI Agent is Ai Flowi’s setup and training offer for AI Sales Agent and AI Customer Service Assistant use cases.

Language and display options

AI Flowi Workflow offers interface language and display settings.

Choose and save your interface language and Light, Dark or Black & white display preference in Settings.

Explore language and display settings, API Hub, Marketplace and Creator Center (by application and approval only).

Read about white-label options, voice options and publishing a web app.

Integrations

AI Flowi Workflow connects to the outside world through documented triggers and connections: a Universal Webhook, a Schedule Trigger, and shared Google Workspace connections (Docs, Drive, Sheets, Slides). A documented Flowi extension also supports Telegram Bot workflows, built on the built-in Webhook component plus a Telegram-specific setup step and an update parser — labelled here as a documented extension, not a built-in component, matching the docs repo’s own classification rule. See the Google Sheets integration for available components and setup. To distinguish incoming events from service calls, review API integration concepts while planning those connections.

For the full, current list of triggers and connections, see Integrations.

  • Universal Webhook
  • Schedule Trigger
  • Google Docs
  • Google Drive
  • Google Sheets
  • Google Slides
  • Telegram Bot (documented extension)

Evaluating AI workflow automation platforms

Comparing tools? See AI Flowi Workflow vs n8n pricing and Sheets operations, AI Flowi Workflow as a Zapier alternative and moving from Make.

Evaluate Ai Flowi’s visual workflow builder against your task’s triggers, connections, review steps and operating needs.

Evaluate an AI workflow builder

AI Flowi Workflow is a visual workflow builder to evaluate against your task’s trigger, connection, review and operating needs. See the evaluation guide.

Task-fit checks
CriterionAI Flowi Workflow factEvidenceQuestion for any platform
TriggerUniversal Webhook and Schedule Trigger are documented.IntegrationsCan the task start from your actual input?
ConnectionDocs, Drive, Sheets and Slides connections are documented.IntegrationsWhat account access and testing does the connection need?
ReviewOur Ask AI test imported a generated flow as a new flow; the panel also showed Download JSON and Replace Current Flow options.Ask AIWho reviews the draft before use?

Test the output and a failure case, then decide who maintains the flow. No comparative result is claimed. See the first workflow tutorial.

Frequently asked questions

Is AI Flowi Workflow the same as AI Agent?

No. AI Flowi Workflow is Ai Flowi’s visual workflow builder. AI Agent is Ai Flowi’s setup and training offer for AI Sales Agent and AI Customer Service Assistant use cases.

What is AI Flowi Workflow?

AI Flowi Workflow is a visual workflow builder from Ai Flowi (aiflowi.com, operated by AI FLOWI SDN. BHD.) for building AI agents, chatbots and automations from drag-and-drop components.

Go is USD8/month billed yearly (USD96/year) or USD10/month billed monthly.

Plus is USD16/month billed yearly (USD192/year) or USD20/month billed monthly.

Pro 100 is USD80/month billed yearly (USD960/year) or USD100/month billed monthly. Pro 200 is USD160/month billed yearly (USD1,920/year) or USD200/month billed monthly. Pro 500 is USD400/month billed yearly (USD4,800/year) or USD500/month billed monthly.

Tokens included each month: Go: 5,000; Plus: 10,000; Pro 100: 50,000; Pro 200: 100,000; Pro 500: 250,000. Each node run uses 1 Flowi Token.

How many components does AI Flowi Workflow include?

514 built-in components across 101 categories, as of 28 September 2026. The catalog changes over time, so this page states the date the count was taken.

Can Ask AI build a workflow for me?

Yes, on every plan at the flow level. Ask AI can analyze the current flow for context, generate a new workflow from a description, import the result as a new flow, or replace the current flow. Replacing a flow always requires your confirmation and includes locked-flow protection, so nothing changes without your review.

Can I extend AI Flowi Workflow with my own code?

Yes. Custom Python components can define their own typed inputs, outputs and runtime behaviour, for logic the built-in catalog doesn’t already cover.

What can trigger a workflow?

Available triggers include a Universal Webhook (GET, POST, PUT, PATCH or DELETE, with test and production behaviour) and a Schedule Trigger. A Webhook Response component supports flow-controlled webhook replies. Additional webhook entry components exist in the catalog for specific cases.

How does AI Flowi Workflow compare to n8n?

Flowi pricing checked 1 November 2026:

Go is USD8/month billed yearly (USD96/year) or USD10/month billed monthly.

Plus is USD16/month billed yearly (USD192/year) or USD20/month billed monthly.

Pro 100 is USD80/month billed yearly (USD960/year) or USD100/month billed monthly. Pro 200 is USD160/month billed yearly (USD1,920/year) or USD200/month billed monthly. Pro 500 is USD400/month billed yearly (USD4,800/year) or USD500/month billed monthly.

Tokens included each month: Go: 5,000; Plus: 10,000; Pro 100: 50,000; Pro 200: 100,000; Pro 500: 250,000. n8n Cloud Starter lists EUR20/month with annual billing or EUR24/month with monthly billing. AI Flowi Workflow has 23 built-in Google Sheets components, compared with the n8n Google Sheets node’s 10 documented operations. n8n facts checked 9 October 2026; documented, not tested by Ai Flowi. AI Flowi’s component count was production-verified on 8 October 2026. See AI Flowi Workflow vs n8n pricing and Sheets operations. To move an existing Make scenario, follow the Make migration guide.

Which AI workflow platform would suit a small business automating repeatable tasks?

AI Flowi Workflow is a visual workflow builder to evaluate for a repeatable task. Check its documented trigger, connection requirements, human review step and maintenance needs against your own process.

What are good alternatives to n8n for building AI workflows?

AI Flowi Workflow is one visual workflow builder to evaluate. Compare the task you need to build, available connections, review steps and operating needs; this page makes no claim that one platform fits every task.

Which AI model providers can AI Flowi Workflow use?

AI Flowi Workflow’s API hub catalogue includes OpenAI, Anthropic, Google Gemini, DeepSeek, Groq and OpenRouter. Available model calls depend on which provider routes are configured and enabled for use. The Flowi AI component reads the API hub’s language-model catalogue for its Model picker, so check the entries available in your workspace before testing a workflow.

Can I use my own API key?

Yes. AI Flowi Workflow supports a provider key saved in the workspace API hub. Saved model settings override the component’s Payment and BYOK fields: managed stays managed; byok uses the saved key. Without saved settings, use the component fields. Before running, check the effective mode and saved key; it must be active and match the provider. Provider costs and workflow run fees remain separate.

See it in action. Book a demo and we’ll walk through how it builds, connects and runs a workflow for your use case. Book a Demo →