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AI Integrations for Business Apps

AI is most useful when it works inside the software you already run. These guides show how to connect AI to accounting, CRM, CMS, databases, messengers, e-commerce, payments, email and office tools: what you can automate, how to keep data safe and which automation platforms help you build the workflow.

Price

From $1,500

Typical project $1,500–5,000.

You get a written fixed quote before work starts.

XeroQuickBooksMYOBFreshBooksSage
HubSpotSalesforcePipedriveZoho CRM
WordPressWebflowGhostHubSpotWooCommerce
PostgreSQLMySQLAirtablesupabase
SlackTelegramWhatsApp BusinessMicrosoft Teams
ShopifyWooCommerce
StripePayPal
GmailOutlookGoogle CalendarGoogle WorkspaceMicrosoft 365
Google WorkspaceMicrosoft 365NotionMicrosoft Teams
n8nZapierMakeactivepieceshuginn

Start with one process, not one tool

Pick a process that crosses your apps and wastes time today, such as invoices arriving by email and being typed into accounting, or leads from a form that wait hours for a reply. Map where the information comes in, what happens to it and what goes out. The apps involved tell you which integrations you need.

Three ways to connect AI to your apps

Built-in AI features inside the app are the quickest start but limited to that app. Automation platforms such as n8n, Zapier or Make connect several apps and add AI steps without much code. Custom integrations through each app's API give the most control for complex or high-volume processes. Many businesses combine all three.

FAQ

Do I need a developer to connect AI to my software?

Not always. Automation platforms let non-developers connect common apps. Complex processes, sensitive data or high volumes usually benefit from a developer or integration partner.

Is it safe to give AI access to business apps?

It can be, with limits: use the narrowest permissions, prefer read-only access at first, log every action and require human approval for anything that sends messages, changes records or moves money.

Which integration should I build first?

The one where a frequent, rule-based task causes delays or errors today and success is easy to measure, such as time to answer leads or invoices processed per hour.

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