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Khalid Muaydh, Founder and CEOWhen a required integration is unavailable, a SaaS company may lose a deal, delay the request on its product roadmap, or commission a third-party provider to build a bespoke integration. Each option can slow delivery, increase costs and create another integration to maintain.
fastn, Inc. addresses the challenge by embedding an integration catalog and a custom integrations builder inside the SaaS product. HP embeds fastn in its Workforce Experience Platform, where customer onboarding cycle time fell roughly 75 percent, and 85 percent of integrations are reused across teams.
A SaaS company embeds the fastn widget in its product with a few lines of code, under its own brand. Behind it sits an integration catalog of more than 1,000 integrations, ready today. Customers connect their own accounts, pick the integrations they need and customize them to fit how they work. Nothing lands on the SaaS company’s engineering team.
Stocking the catalog is a configuration, not a build. The SaaS company picks the integrations it wants, describes what each should do, and fastn’s agents build them and publish them as templates customers can customize.
“We’re turning integrations into configuration, reducing work that once took weeks or months to something customers can complete in a day or even minutes,” says Khalid Muaydh, founder and CEO.
Integrating the same application does not mean every customer needs the same workflow. Two businesses using Salesforce or NetSuite may follow entirely different processes. fastn lets SaaS companies offer customers a customizable integration experience, with logic tailored to their own requirements rather than a fixed integration built for a predefined use case.
Its custom integrations builder extends that flexibility. When an integration is not in the catalog, the customer describes what they need in plain words, fastn’s agents pick the apps, write the logic and run the checks, and it goes live once the customer approves it.
Making Integrations Manageable after Deployment
fastn’s work does not end once integrations are live. One dashboard shows every customer’s integrations, including what synced, what retried, what failed and what needs attention. Issues are classified by source; API breakages, data errors and customer configuration problems.
We’re turning integrations into configuration, reducing work that once took weeks or months to something customers can complete in a day or even minutes.
An agent-based layer now covers the integration lifecycle, turning customer requirements into working integrations, running the checks, diagnosing failures, and writing and testing fixes as APIs change. Auth rotates, and versions get retired, so the work stays with fastn rather than the SaaS company’s team.
Securing Data Flows between Agents and Tools
fastn extends the same integrations to AI agents, with controls that let customers govern which tools agents access and what information they exchange. Rules can restrict sensitive information, including personally identifiable information, before it reaches an LLM.
Visibility into data flows and agent actions helps customers identify abnormal behavior and detect attempts to manipulate agents into interacting with unauthorized tools. fastn supports SOC 2, GDPR, ISO, HIPAA and PCI requirements and can be deployed through its own cloud, a third-party cloud or a customer’s private cloud.
fastn’s longer-term vision is to connect the world’s data in real time, safely; every system a business runs, reachable by its products and its AI agents, without each company having to build and maintain its own integrations.
By combining embedded integrations and monitoring with an agent-based approach to building, testing and maintaining integrations, fastn makes each integration a customer asks for a matter of configuration rather than another engineering project. Its recognition as the Top AI-Powered Embedded Integration Infrastructure Platform 2026 reflects that approach.
Embedded Integration beyond the Connector Count
Software companies can build and launch products faster than they once could, but each new product enters a customer environment crowded with business applications. A SaaS vendor that once only needed to support a few widely used systems may now encounter dozens of CRM platforms alone. That changes integration from a secondary product feature into a buying condition. If a required connection is missing, the sale can stall, or the request can sit on a roadmap. A third-party integrator may still build something bespoke, but that path adds cost and creates another asset that must be maintained.
Breadth, therefore, matters, but connector count by itself is a weak measure. Executives should examine how quickly a platform can turn an integration request into something usable inside the product. The more engineering effort required for each new connection, the harder it becomes to support a long tail of customer systems without pulling developers away from the core application. Embedded delivery is especially relevant because it lets the integration experience appear inside the software customers already use rather than as a separate external project.
Configurability is just as important as availability. Two customers may use the same CRM or ERP but run different processes inside it. A fixed workflow can technically provide the connection while still failing to match the way either business handles data or actions. Buyers should look for integration infrastructure that can be adjusted by administrators and, where appropriate, personalized by end users. Extensibility matters for the same reason. An integration that covers only a predefined use case can become another backlog item once the customer asks for a variation.
Maintenance deserves equal scrutiny because APIs and data structures change after deployment. Breakage that appears silently can push support teams into reactive troubleshooting and leave customers unsure whether the problem sits in their own product or the integration layer. Useful platforms should expose failures clearly and help classify the cause. Repair support should keep each change from becoming another engineering project. Monitoring should also show how data moves between applications so teams can trace unexpected behavior.
AI-powered applications add another layer to the decision. Connections may need to restrict what data reaches a model, mask sensitive information, limit which tools an agent can invoke and record how data moves. Deployment options and compliance controls, therefore, matter alongside connector coverage. The integration layer should also manage how agents interact with external systems because inefficient exchanges can consume context unnecessarily and degrade application performance.
Fastn provides an embedded integration platform that SaaS companies can white-label inside their products, supported by a gallery of connectors and AI agents that help build and maintain integrations. Administrators can configure workflows to match customer processes, while monitoring classifies integration errors and assists with remediation.
Fastn also gives end users a wildcard connector that can generate a missing integration from stated requirements, reducing the need to turn an unsupported connector into a lost deal. Its controls can govern data passed to tools or models and support private cloud or other cloud deployment. For buyers trying to expand embedded integration coverage without creating a larger engineering burden, Fastn merits consideration....Read more
Company
fastn, Inc.
Management
Khalid Muaydh, Founder and CEO
Description
fastn, Inc. provides AI-native integrations for SaaS products and AI agents. SaaS companies embed fastn's widget to give customers a branded integration catalog they configure themselves, with monitoring, maintenance and governed AI agent access handled by fastn.
