Hewlett Packard Enterprise has successfully cut down executive status meetings by adopting no-code apps built on the monday.com platform, enabling more live project tracking and automating routine tasks with AI agents.
- HPE cuts weekly executive review meetings to monthly using live dashboards.
- No-code apps built by employees accelerate workflow automation and reporting.
- AI agents automate routine reporting tasks while adoption is carefully managed.
What happened
Hewlett Packard Enterprise (HPE) implemented no-code application development across the company using monday.com's AI and workflow platform. An initial IT ticketing app created in just 24 hours inspired broader adoption by encouraging employees to build their own workflow solutions, with support from internal capability leaders.
This shift enabled real-time live project dashboards accessible to executives, significantly reducing the need for frequent status meetings. Routine tasks such as attendance tracking for live events are now automated by AI agents configured on the platform, saving time and improving accuracy.
Why it matters
HPE’s experience confirms that no-code apps produce the greatest value when the end users closest to specific tasks are empowered to build and customize workflows themselves. This decentralized development reduces dependency on traditional IT teams and accelerates process improvements.
In parallel, HPE is actively managing AI adoption by providing targeted training and controlling AI resource allocation, balancing creativity and control. This structured approach addresses a common challenge in enterprise AI deployment—enabling innovation without creating chaos.
What to watch next
Enterprises like HPE will continue to refine the governance of AI and no-code adoption to scale benefits across broader teams while maintaining system integrity and security. Observing how HPE expands no-code use cases and integrates AI agents for other routine processes will be instructive for similar large organizations.
Additionally, the impact on organizational culture around technology self-sufficiency and meeting efficiency offers a case study in evolving corporate workflows. Metrics like the sustained reduction in meetings and user satisfaction with self-built apps will help benchmark progress.