· Reviewed by Issabela Masters
Why do Make users need a virtual assistant?
Make attracts people who outgrew simpler automation tools: routers, iterators, aggregators, data stores and error handlers let one scenario do real work. That power has a cost. A scenario with 30 modules is hard for anyone but its author to read, incomplete executions pile up after an API returns something unexpected, a webhook queue fills while nobody notices, operations usage creeps up because a scenario polls every minute for data that changes twice a day, and the blueprint exists only inside the account. An assistant turns your scenarios into an asset the business can manage. They read the execution history every morning, resolve and retry incomplete executions, reauthorize connections, document each scenario in plain language with a backed-up blueprint, build new scenarios from your brief on a clone with test data, and report operations used, errors and backlog every week.
What can a virtual assistant do inside Make?
- Execution history and incomplete executions
- Reviews the execution history daily, opens each incomplete execution to find the module and the input that failed, resolves and retries where the cause is fixed and escalates the rest with the execution log attached.
- Error handlers
- Adds Resume, Ignore, Break, Rollback or Commit handlers where a scenario has none, after you approve the behavior, and checks that break directives create incomplete executions you can act on rather than silent drops.
- Connections and webhooks
- Reauthorizes expiring connections, moves them to accounts your organization owns, monitors webhook queues and tests each webhook with a sample payload after any upstream change.
- Building scenarios
- Builds scenarios with routers, filters, iterators, aggregators, data stores and the HTTP module from your written brief, tests on a clone with sample data and schedules them to run only after your sign-off.
- Operations usage
- Tracks operations per scenario, changes polling intervals, adds filters and uses webhooks instead of polling where possible to reduce waste, and warns you before the monthly allowance is reached.
- Data stores and data structures
- Keeps data stores clean, removes stale records, maintains data structures when a source changes its fields and documents what each store is for.
- Documentation and blueprints
- Names scenarios by process, writes notes inside each scenario, exports blueprints to a folder you own after every change and keeps a register of scenario, owner, purpose and downstream dependency.
- Weekly report
- Sends runs, incomplete executions, operations used, connections due to expire and the build backlog every week, reviewed with the team lead on the weekly call.
Integrations we handle
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Make and Google Workspace
Maintains Sheets, Drive, Gmail and Calendar modules and catches expired Google connections before a scenario fails.
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Make and Airtable
Keeps record syncs and field mappings correct between Airtable bases and other tools after a base change.
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Make and Notion
Manages scenarios that create and update Notion pages and databases, and fixes property mismatches when a database changes.
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Make and Slack
Routes alerts, approvals and error notifications to the right channel and trims notifications nobody acts on.
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Make and HubSpot
Keeps contact, deal and ticket scenarios writing to the correct properties and checks for duplicates created by triggers.
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Make and ChatGPT
Maintains OpenAI modules that draft, classify or summarize inside scenarios, with a human review step where your policy requires one.
