19th May 2025
The role of Embedded iPaaS in the AI Gold Rush
Picks and Shovels Getting it out of the way first, AI is… Read Article
19th May 2025
Picks and Shovels Getting it out of the way first, AI is… Read Article
14th April 2025
As enterprises look to leverage AI for automation, the limitations of Large… Read Article
29th July 2024
In recent years, AI (Artificial Intelligence) platforms have exploded onto the software… Read Article
10th March 2025
AI features in SaaS applications are becoming synonymous with each other, and… Read Article
13th January 2025
2024 has seen growth and spending in the software and SaaS industry,… Read Article
23rd September 2024
In the ever-evolving landscape of digital transformation, technology leaders are continuously tasked… Read Article
9th September 2024
26th August 2024
That’ll not be too AI for me, please. Cyclr is sailing against… Read Article
3rd January 2024
In an era of technological innovation, the convergence of Artificial Intelligence (AI),… Read Article
21st August 2023
ChatGPT entered the fold in a major way last year, yet AI… Read Article
16th June 2023
The last year has seen AI hit the mainstream with the overwhelming… Read Article
4th January 2023
SaaS continues to scale and evolve with cloud tech now ballooning in… Read Article
21st August 2020
AI is getting smarter. You’ve probably seen the latest text-generating neural network… Read Article
AI brings a lot of advantages and opportunities when it comes to product development and organizational optimization.
How it interacts with external third-party data and how it’s deployed in external systems are big challenges, especially with the wide range of models and external systems available.
We explore how AI has a place in SaaS and Services companies, looking for ways it can be implemented using Embedded iPaaS.
Pairing an AI platform with an embedded iPaaS (Integration Platform as a Service) creates a powerful synergy for SaaS applications. The iPaaS provides a structured, secure integration environment that ensures data flows correctly and with proper authentication
You can extend your SaaS platform’s functionality by plugging AI services into your integration workflows via pre-built connectors. Cyclr’s connector library includes integrations to popular AI tools (e.g. OpenAI’s ChatGPT, Azure AI), which unlock capabilities like natural language processing, image recognition, and predictive analytics
Ensuring security and governance is crucial when introducing AI into your SaaS workflows. Key practices include:
Use your iPaaS as a gatekeeper: Let the integration platform orchestrate AI calls and control what data is sent, formatting prompts carefully
Keep AI external to core code: Deliver AI-driven features via integration workflows instead of embedding AI directly in your SaaS codebase
Secure credentials in the iPaaS: Store API keys and credentials in the integration layer (a secure lockbox) so the AI service never directly handles sensitive auth details
By following these practices, product managers and developers can confidently implement AI integrations that remain secure, compliant, and within their control.
Book a demo to see Cyclr in action and start creating integration solutions for your customers