Tech, ExplainedData platforms and AI
Product

Embedded iPaaS

Integrations a SaaS product ships to its customers.

BEFORE ITAFTER ITEmbedded iPaaSCobaltCOVERSReady-madeconnectorsCustomer sign-inField matchingAI-builtconnectorsData connectorssupplyready-madeconnectorsAI agent framework↗ GENERATIVE AI APPLICATIONSbuilds newconnectorsEach customer's records arecopied into its other apps,from inside the software italready usesCONCEPTS IT USESAI coding agentsBEFORE ITAFTER ITEmbedded iPaaSCobaltCOVERSReady-madeconnectorsCustomersign-inField matchingAI-builtconnectorsData connectorssupplyready-madeconnectorsAIagent framework↗ GENERATIVEAI APPLICATIONSbuilds newconnectorsEach customer'srecords are copiedinto its otherapps, from insidethe software italready usesCONCEPTS IT USESAI coding agentsBEFORE ITData connectors↓ supply ready-made connectorsAI agent framework↗ GENERATIVE AI APPLICATIONS↓ builds new connectorsEmbedded iPaaSCobaltReady-made connectorsCustomer sign-inField matchingAI-built connectorsAFTER IT↓Each customer's records are copied into itsother apps, from inside the software italready usesCONCEPTS IT USESAI coding agents
Embedded iPaaS takes ready-made connectors and AI-built connectors, and ends with each customer's records copied into its other apps from inside the software it already uses.
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Embedded iPaaS is a platform that a software company builds into its own product, so that its customers can connect that product to the other apps they already use. iPaaS stands for integration platform as a service. "Embedded" means the connections appear inside the software company's own product, under its own name. The product's customers never see the platform underneath.

The buyer is a company that sells software as a service (SaaS), software that customers rent and use over the internet. Its customers keep asking for connections to their accounting app, their CRM, their calendar or their payroll. Building each connection by hand is slow. The team has to learn each app's API, the set of requests that the app accepts from other programs. It has to handle each app's login, and keep the code working whenever the app changes. Fifty apps can keep a whole engineering team busy.

An embedded iPaaS gives the software company ready-made connectors for many apps. It also provides a sign-in screen, through which each customer approves access to its own accounts without sharing a password. It adds a screen on which the customer matches fields, such as "patient name" to "customer name". And it runs the connections, retries them when they fail, and shows the software company which ones are broken.

These products are sold mainly to software companies in the United States, so here is an American case. Consider a company in the United States that sells appointment and billing software to 3,000 dental clinics. Many clinics keep their accounts in one of five accounting apps. The company adds an Integrations page to its product, built on an embedded iPaaS. A clinic in Ohio clicks "Connect accounting", signs in to its accounting app and approves access. From then on, every evening, the day's paid invoices are copied into the clinic's accounts, for example 46 invoices worth $8,900. The clinic sees only the dental software's own screen.

The newest products go further. An AI agent reads the documentation of an app's API, writes a new connector, tests it and fixes it, an idea explained on the page on AI coding agents. Such agents are built on an AI agent framework.

How is it different from a plain iPaaS? A plain iPaaS connects a company's own apps, for its own use, which is the work of enterprise integration. An embedded iPaaS lets a software company offer connections to all of its customers. And how is it different from data connectors for a warehouse? Those copy data for a data team's analysis. Embedded connections move records between apps, so that each customer's daily work continues in the other app.

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