Imagine you have just spent Monday morning copying leads from Facebook Ads into your CRM, then updating a spreadsheet, then sending a Slack message. That is three hours of your life gone to manual work. Make (formerly Integromat) exists to fix exactly this problem — it is a visual platform where you build automation scenarios that move data between hundreds of apps. But there is a catch: you still have to design those scenarios yourself, and every new tool or data format means more configuration.
Now imagine asking an AI agent to handle that entire process for you. That is what ASI Biont does. Instead of dragging blocks and setting up filters, you explain what you need in plain English, give the AI agent your Make API key, and it writes the integration code on the fly. No dashboard buttons, no Add Integration menu — just a conversation.
What Make (Integromat) Actually Does
Make is a no-code automation platform that connects apps and services through scenarios. A scenario can watch for a new email, extract data, transform it, and send it to another tool. According to Make's official API documentation, the platform exposes a complete REST API for managing scenarios, webhooks, connections, and data structures. This makes it possible to automate almost any workflow — from simple notifications to complex multi-step data processing.
The challenge is that building these scenarios still requires understanding of JSON, webhooks, and API endpoints. Non-technical users often give up, and technical users spend hours on repetitive configuration. This is where an AI agent becomes valuable: it can handle the technical details and generate the integration code itself.
How ASI Biont Connects to Make
Here is what makes this different: ASI Biont does not have a pre-built connector that you have to wait for. The AI agent talks to any REST API, including Make's API. You simply paste your API key into the chat, describe the desired workflow, and the agent generates the necessary code — webhook URLs, JSON parsing, scenario logic, data transformations, and error handling. If Make's API has an endpoint for it, the agent can use it.
This is a huge departure from traditional integration platforms. With most tools, adding a new integration takes weeks because a developer has to write and test the connector. With ASI Biont, the integration is written instantly in conversation. Need a webhook that receives order data from WooCommerce and sends it to Google Sheets? The agent can create a Make scenario for that in minutes — and you do not have to touch a single line of code if you do not want to.
Real Use Cases
Marketing: Automated Campaign Reporting
A marketing manager at an e-commerce company was spending an hour every morning compiling stats from Google Ads, Facebook Ads, and email platforms. Now they ask ASI Biont to set up a Make scenario that pulls metrics from each platform, normalizes the data, and sends a daily summary to the team's Slack channel. The AI agent writes the HTTP requests, payload transformations, and notification logic. The manager simply reviews the result and publishes it. The same approach works for lead generation: ASI Biont can connect Make to CRMs like HubSpot or Pipedrive, score leads, and route them to sales.
Support: Ticket Triage and Response
A SaaS support team receives hundreds of messages per day. The AI agent connects to Make and builds an automation that reads new tickets from their help desk, classifies them by urgency and topic, assigns them to the correct support engineer, and even drafts a first response for the engineer to review. In one real example, a team reduced their average first-response time from four hours to under twenty minutes. The AI agent uses Make's API to listen for webhooks from the help desk, and then calls back into Make to update the ticket with the classification and draft. No custom backend was required.
DevOps: Intelligent Alert Routing
A DevOps engineer uses Make to collect alerts from Kubernetes, Sentry, and custom log pipelines. ASI Biont analyzes patterns in those alerts, filters out known false positives, and triggers a Make scenario that creates a Jira issue with stack traces, severity estimates, and suggested next steps. This cuts down on alert noise and makes on-call rotation manageable. The AI agent can also modify the Make scenario over time as the infrastructure changes, without requesting a code deployment.
How to Connect: A Simple Chat Conversation
The process requires no technical training:
- Go to Make (Integromat) and create a free account.
- Generate an API key in your Make profile settings.
- Open a chat with ASI Biont and paste the key.
- Describe the workflow: "Build a scenario that watches this webhook, adds rows to Google Sheets, and notifies me on Slack if the value is above 100."
- ASI Biont provides the webhook URL, configures the scenario, and guides you through the final click.
That's it. The AI agent handles the integration on top of Make's API. And because Make uses a standards-based REST API, the same approach works with thousands of other services — from Stripe and Salesforce to custom internal systems. If there is an API, ASI Biont can connect to it.
Why This Saves Time and Money
Traditional integration development has a hidden cost: waiting. A request to the engineering team might take two weeks. Integration platforms with pre-built connectors are faster, but they only support the apps the vendor has already built — and you still have to manage data mapping yourself. With ASI Biont, the AI agent is the developer, and the API is the connector. You do not wait for anyone, and you are not limited to a fixed list of services.
| Task | Without ASI Biont | With ASI Biont + Make |
|---|---|---|
| Write a new integration | 2–4 hours of developer time | 5–10 minutes in chat |
| Add a new data source | Wait for vendor support | Ask AI to write code now |
| Modify existing workflow | Find code, test, deploy | Describe change in chat |
| Maintain automation | Manual monitoring | AI can review and suggest fixes |
According to Make's official API documentation, the platform exposes a complete REST API for managing scenarios, webhooks, and connections. This means the only real requirement for an integration is an API key and a clear description — both of which fit naturally into a conversational interface.
The practical impact is significant. Teams that automate routine tasks free up hours every week. More importantly, they free up mental bandwidth. When the AI agent handles the plumbing, your team can focus on decisions that require human judgment.
Give It a Try
You do not need a developer, a migration plan, or six months of waiting. If you already use Make (Integromat) for automation, you can extend it with an AI agent that writes its own integrations. Just log in to asibiont.com, grab your Make API key, and ask the AI to automate your first workflow. The integration is waiting for you in the conversation.
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