Enterprise AI projects often promise efficiency gains in customer support—but when technical issues grow complex, the results can be unpredictable.
That’s the gap Movate and Kahuna Labs aim to close with a new partnership focused on AI-driven technical support backed by guaranteed outcomes rather than experimentation.
The two companies announced a strategic collaboration to deliver a hybrid AI-and-human support model designed to reduce the total cost of resolving complex technical cases while maintaining—or improving—key performance metrics like Mean Time to Resolution (MTTR) and customer experience.
According to the companies, the new offering could lower per-case support costs by as much as 20 percent in complex enterprise environments.
Moving Beyond AI Experiments
Enterprises have rapidly adopted AI tools across customer service and IT operations. Yet many organizations still struggle to measure the real economic impact—particularly in technical support environments where troubleshooting requires deep expertise and structured diagnostics.
AI chatbots and automated workflows work well for routine inquiries, but high-complexity technical cases remain heavily dependent on skilled engineers.
Movate and Kahuna Labs believe the solution is a tightly integrated AI-plus-expert model rather than automation alone.
Instead of deploying AI tools and leaving customers to manage uncertain results, the partnership introduces an outcome-based commercial model that ties AI adoption directly to measurable performance improvements.
“Enterprises are under enormous pressure to demonstrate real returns from AI investments, especially in customer-facing operations,” said Pradyumna Shirahatti, chief business officer at Movate.
Shirahatti said the partnership combines Kahuna’s AI diagnostics platform with Movate’s global support delivery network to create a faster, lower-cost support framework for complex cases.
AI-Guided Troubleshooting for Engineers
At the core of the joint solution is Kahuna Labs’ AI platform, which embeds context-aware troubleshooting intelligence directly into support workflows.
The platform includes several diagnostic tools designed to guide engineers through complex investigations:
- Troubleshooting Map™, which prompts support teams with the right questions, diagnostics, and actions as cases evolve.
- Complexity Score™, which predicts how difficult a case may become and helps allocate resources early.
- Completeness Score™, ensuring engineers collect the diagnostic signals needed for faster resolution.
Instead of replacing engineers, the system acts as a decision-support layer, helping teams avoid common troubleshooting blind spots and gather the right data early in the case lifecycle.
That early diagnostic accuracy can dramatically reduce resolution times—one of the biggest cost drivers in enterprise support operations.
Movate Brings Global Delivery Scale
While Kahuna contributes AI-driven diagnostic intelligence, Movate adds the operational backbone required to run large-scale enterprise support programs.
The company provides managed services across areas including:
- Technical product support
- Platform engineering
- Intelligent infrastructure management
- AI-enabled customer experience operations
Movate’s delivery model combines proprietary AI tools with global engineering teams that support enterprise software platforms and complex technology ecosystems.
By integrating Kahuna’s platform into this operational framework, the companies aim to transform support from a variable cost center into a predictable, outcome-based service model.
From Variable Costs to Predictable Economics
One of the biggest challenges enterprises face in technical support is cost unpredictability.
Complex support cases often require multiple escalations, repeated diagnostics, and collaboration across teams—driving up resolution costs and increasing customer frustration.
The Movate–Kahuna model attempts to address that by introducing data-driven diagnostics and structured workflows that standardize how cases are handled across support organizations.
“Most AI initiatives fail to deliver impact not because the technology is weak, but because complex work requires context, diagnostics, and guided decision-making,” said Sanjeev Gupta, CEO of Kahuna Labs.
Gupta noted that scaling AI in operational environments requires more than technology—it also demands organizational change and human adoption.
By combining AI recommendations with expert-led support services, the partnership aims to bridge that gap.
Designed for Enterprise Support Environments
The joint offering is targeted at organizations dealing with high-volume, high-complexity technical support operations, including companies running global software platforms, telecom infrastructure, or enterprise cloud services.
Key objectives of the solution include:
- Reducing cost per technical support case
- Improving Mean Time to Resolution (MTTR)
- Increasing diagnostic accuracy
- Enhancing customer experience outcomes
Importantly, the system is designed to integrate with existing enterprise platforms, including widely used CRM and support systems like Salesforce.
That approach allows organizations to modernize support operations without replacing existing infrastructure.
AI Accountability, Not Just AI Hype
The partnership also reflects a broader shift happening across enterprise AI deployments.
Early AI adoption often focused on experimentation—deploying tools to test potential benefits. Today, companies increasingly expect clear ROI and measurable operational improvements.
Movate and Kahuna are betting that outcome-based AI delivery models—where performance targets are tied directly to AI implementations—will become the next stage of enterprise adoption.
Currently, the companies are working with select enterprise customers to validate the solution and refine commercial models ahead of broader market availability.
If the approach proves successful, it could offer a roadmap for how organizations deploy AI in complex operational environments—not as a standalone technology experiment, but as a measurable business transformation tool.
Power Tomorrow’s Intelligence — Build It with TechEdgeAI
