As generative AI began reshaping how businesses approached automation, Intelswift recognized a growing need for vertical-specific AI agents—solutions tailored to domains like banking and healthcare. But building the infrastructure to support a developer hub where developers could build and submit vertical AI agents, along with native integrations and an AI agent marketplace, would have delayed their go-to-market by at least a year and consumed significant R&D resources.

The team needed a white-label platform that could:
  • Support a large number of integrations out of the box
  • Let developers build and submit AI agents without custom infrastructure
  • Allow non-technical users to activate ready-made AI agents instantly
  • Avoid the cost and distraction of building everything in-house

Intelswift chose Appmixer as the embedded automation platform to power their AI agent marketplace. With Appmixer, they were able to:
  • Enable third-party developers to create vertical AI agents using a no-code builder
  • Review and publish agents to a marketplace accessible to end customers
  • Launch AI agent templates that non-technical users could activate with a single click
  • Support complex workflows with built-in integrations and embeddable UI components

“Within a month, we had a production-ready platform,” says Marian Rydzanych, CEO of Intelswift. “We saved at least $150K in R&D and avoided a year-long delay to market. This gives us a tremendous competitive advantage in the crowded customer experience space.”

Intelswift didn’t just launch a marketplace—they launched value. Within weeks, their team and third-party developers deployed a set of specialized AI agents designed to tackle real business challenges across support, sales, and customer experience.

Here are five examples currently running in production:
  • Sentiment-based ticket prioritization agent: Flags and escalates tickets with negative sentiment in real time to ensure frustrated customers receive faster responses.
  • Proactive insights agent: Analyzes historical support and business metrics to suggest improvements that reduce churn and optimize the sales funnel.
  • SLA enforcement agent: Tracks ticket progress and proactively escalates cases at risk of breaching SLA thresholds, ensuring timely resolution and improved team accountability.
  • Lead scoring agent: Uses AI to analyze interaction history and behavior to score incoming leads, helping sales teams focus on those most likely to convert.
  • RAG-based sales optimization agent: Enables users to ask natural language questions like "What can I do to improve my sales based on the KPIs?" and receive actionable answers based on their data.

Each of these agents is available in Intelswift’s embedded marketplace and can be activated instantly by non-technical users—delivering rapid impact without custom development.

By partnering with Appmixer, Intelswift accelerated their roadmap and avoided the pitfalls of building a complex platform from scratch. What began as an idea for vertical AI agents quickly turned into a fully operational marketplace that impressed developers, enterprise clients, and internal stakeholders alike.

  • Go-to-market in 1 month instead of 12+
  • Estimated $150K in R&D savings
  • Successful hackathon where developers built deployable AI agents in just 3 days
  • Adoption by enterprise clients, including a major bank piloting three AI agents (quality assurance, ticket resolution, and inbound request analytics)
  • High developer satisfaction, thanks to fast prototyping and ease of integration
  • Strong end-user adoption, with customers able to activate agents without needing technical knowledge

Marian adds, “There’s no one-size-fits-all AI. Appmixer gave us the foundation to rapidly build vertical AI agents tailored to our customers’ specific needs—without reinventing the wheel.”