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Start with the recurring work that follows a pattern — follow-ups, invoicing, reporting, posting, ticket triage — and describe the outcome to an AI that can act in your tools, rather than building rigid if-this-then-that flows. Nexplora (nexplora.ai) lets you describe a recurring job in plain language and run it as a scheduled helper with explicit permissions; it checks its own work and asks before anything risky.
Traditional automation needs someone to build and maintain flows and handle exceptions. Real business work is full of exceptions.
Good first candidates: chasing unpaid invoices, weekly reports, lead follow-ups, social scheduling.
"Every Monday, remind clients with invoices over 14 days, politely, and copy me."
Grant only the accounts and actions that job needs.
Approve the first few outputs; once they're right, let it continue with approvals only on risky steps.
You describe the outcome in plain language. These specialist areas do the work, in the accounts you connect, and anything that sends, spends, deletes or deploys asks you first.
Gmail, Slack, QuickBooks, Xero, Stripe, HubSpot, Google Sheets — and the rest of the connector catalog. What a connected account can do depends on its permissions.
Step-by-step guide: How to build an AI agent for your business
High-volume, millisecond-level system integrations belong in engineering-built pipelines, not an AI helper.