A U.S.-based cloud human capital management (HCM) software provider partnered with Mindex to integrate AI-powered capabilities into its platform and accelerate software development.
AI agents can accelerate software development by automating coding tasks and working in parallel, but achieving meaningful results requires experienced engineers to guide the process. Mindex combines AI-agent-driven development with engineering expertise, human oversight, and established quality controls to help teams deliver more software without compromising technical standards. In this engagement, that approach helped a U.S.-based cloud human capital management (HCM) software provider achieve an estimated three times the delivery output of a traditional sprint team.
The provider wanted AI to be part of its software experience, not a separate chatbot. Users needed to do more than read answers in a chat window; they needed to interact with AI-generated information and take action directly inside the application.
Because the platform handles payroll and employee data, the AI experience also needed built-in safeguards. It had to detect and remove personally identifiable information (PII), support safe testing, and give the team control over when new features reached customers.
The provider also wanted to rethink how it built software. Under its traditional process, a project could spend around six months in UX and architecture before development began, then move through two-week sprints. That pace no longer matched how quickly the market was moving.
Mindex engineers shifted from writing code manually to orchestrating AI agents, allowing them to spend more time guiding development, reviewing results, and applying their engineering expertise.
Each piece of work moved through four steps:
Using AI to define stories also helped surface gaps, questions, and opportunities earlier in the process. Instead of resolving every detail months before development began, the teams could learn and adapt as they built.
The teams moved from two-week sprints to continuous Kanban flow, with weekly demos and three-month milestones. This gave stakeholders regular opportunities to review progress, provide feedback, and prioritize what mattered most for each milestone.
Mindex engineers helped build an AI workspace that brings conversational AI, interactive widgets, and file storage together in one place inside the application. Generative UI presents AI responses as interactive elements, allowing users to engage with information in more useful ways.
The workspace includes:
When development began moving faster than UX design, the teams used that time to prepare the back end. They evaluated the platform's existing APIs and organized them so AI agents and new interfaces could use them as soon as designs were ready.
The Mindex team delivered an estimated three times the output of a traditional sprint team, and the AI workspace is now live.
Together, these results show how combining AI agents with experienced engineers can help software teams deliver more, adapt faster, and bring new capabilities to customers sooner.
AI-accelerated development can help software companies bring AI features to market faster and get more from their existing engineering teams. It's especially relevant for organizations exploring AI-assisted development or building products that handle sensitive data and need appropriate safeguards from the start.
Mindex works alongside clients to explore what's possible, apply the right tools and workflows, and turn ideas into practical solutions.
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Wondering where AI fits in your own development workflow? Mindex's AI Lab is a hands-on way to find out. Bring your software, your team, and a real development challenge. Mindex engineers will work alongside you to build and demonstrate an AI-assisted solution, using your own code instead of a generic demo.