Mindsprint has announced a partnership with monday.com, a global AI work platform. This collaboration brings together monday.com’s flexible AI platform capabilities with Mindsprint’s deep expertise in process re-engineering and enterprise transformation.
Through this partnership, Mindsprint will deliver integrated solutions spanning IT Service Management (ITSM), Customer Relationship Management (CRM), and Work Management (WM) — all unified within the monday.com ecosystem. This integrated approach enables organizations to break down silos, streamline workflows, and drive greater visibility and control across business functions.
“At Mindsprint, we partner with platforms that are not only best-in-class but also aligned with how enterprises are evolving,” said Nitesh Mirchandani, Chief Business Officer, Mindsprint. “monday.com stands out for its ability to bring together ITSM, CRM, and work management into a single, intuitive platform. This partnership allows us to help organisations of all sizes minimise operational complexity, and build more connected, high-performing businesses.”
Together with Mindsprint, we’re helping organizations unify workflows and unlock the full value of AI across their operations,” said Chris Jordan, RVP & Country Manager, ASEAN & India at monday.com. “By combining our AI platform with Mindsprint’s expertise, businesses can reduce complexity, gain real-time insights, and scale more efficiently.”
Together, Mindsprint and monday.com will help customers operationalize transformation by embedding intelligent workflows, improving decision-making through real-time insights, and enabling more agile, connected ways of working. Mindsprint will bring its strengths in implementation, integration, and domain-led transformation to ensure customers can translate platform capabilities into tangible business value. By combining ease of use with enterprise-grade capabilities, monday.com provides a scalable work platform that allows growing organizations to adopt modern operating models without the complexity traditionally associated with large-scale systems.
