Movate revealed their new strategic partnership with Kahuna Labs to build a next, generation model of technical support integrating both AI and human expertise. By working together, they want to change the enterprise support operations with AI as well as deliver measurable results in costs and speed in resolution, which are the two most important metrics of the Customer Experience environment today.
Through this partnership, they plan to bring together AI, driven intelligence and customer support engineering expert to deliver technical support services based on outcomes. The new model, contrary to in, trials of AI with no assurance, places an emphasis on performance, backed changes that not only improve the support productivity but also reduce the overall costs.
A fresh AI model for tech support
Support in big companies often takes a long time and costs a lot. Fixing problems needs many steps, team work, and careful checks. That can slow things down and make customer experiences uneven.
Movate and kahuna Labs are working together to fix this. Theyre adding AI to support that handles simple checks on its own, then hands off harder cases to humans. Their goal is to cut support costs without losing how fast issues get fixed, like MTTR.
They say this reduces each cases cost by up to 20% for tricky tech problems.
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The partnership combines two key capabilities:
Movate’s global delivery and CX services expertise, which spans digital engineering, infrastructure management, and enterprise platform support.
Kahuna Labs’ AI-driven troubleshooting platform, designed to guide support engineers through complex diagnostic workflows.
At the core of Kahuna Labs’ technology is a system called Troubleshooting Map™, which embeds contextual reasoning directly into support workflows. The platform prompts engineers with recommended questions, diagnostic checks, and next steps based on the evolving complexity of a support case.
Additional AI scoring models—such as Complexity Score™ and Completeness Score™—help determine the potential trajectory of a support case and ensure that sufficient diagnostic data is gathered early in the troubleshooting process.
Together, these abilities are meant to help technical support departments move away from unpredictable, variable, cost types of operations toward a more fixed and outcome, oriented way of working. Why This is Important to the Customer Experience Industry This collaboration is a reflection of the bigger change that is happening in the Customer Experience (CX) field.When businesses go digital, use cloud tools, and add AI, helping customers becomes key to satisfaction. They cant afford to take long to fix issues.
Speeding things up helps save money. Still, great service must stay at the core. AI is becoming a major force that can help them achieve these goals
AI helps customer service by spotting patterns in support data and suggesting quick fixes.
Teams dont just guess or check old guides, they get real, time tips during live issues.
This works well in fields like software, telecom, gadgets, and big company IT, where problems are tricky and change fast.
Lots of companies now use AI in support. But showing it actually brings value? Thats still hard. The Movate–Kahuna partnership attempts to solve this issue by linking AI adoption to measurable outcomes such as reduced cost per case and faster resolution times.
By offering a performance-driven delivery model, the companies aim to remove some of the financial uncertainty associated with AI deployments in customer support environments.
This deal might change how many industries handle tech support and customer care.
For software firms, heavy support loads are common. AI tools could speed up fixes and keep service smooth.
Telcos experience challenging system problems that require thorough inspections. Thanks to intelligent AI support, staff members might pinpoint issues in less time and lower downtime level.
More so, the quantity of service interruptions may lessen as the groups get better at uncovering problems at an earlier stage.
It’s fascinating that differences may not be seen at first however the results can build up with time.
Enterprise IT and SaaS Providers
Technical support represents a primary element of the consumer life cycle for companies that supply enterprise platforms. The fact that issues are resolved in a timely manner not only results in satisfied customers but also contributes to the formation of long, lasting client relationships.
Outsourcing and CX Service Providers
Customer experience service providers may increasingly adopt AI-guided delivery models to enhance efficiency and remain competitive. Outcome-based pricing models could also reshape how support services are contracted and delivered.
The Future of AI-Powered Customer Experience
The Movate–Kahuna partnership reflects a larger shift in the CX industry toward AI-augmented service delivery, where technology and human expertise work together to provide faster and more reliable support.
Rather than replacing human agents, AI systems are increasingly being used to enhance decision-making, automate repetitive processes, and provide real-time insights during customer interactions.
For businesses operating in the Customer Experience ecosystem, the adoption of AI-driven support models may soon become essential. Companies that integrate AI effectively into their service operations will likely gain a competitive advantage through improved efficiency, better customer satisfaction, and lower support costs.