Generative AI Consulting Services
for Smart Industrial Maintenance

Why do industrial enterprises need Gen AI Consulting Services

Industrial customers face significant challenges when machinery breaks down resulting in downtime, lost productivity, and missed delivery timelines. Traditional reactive approaches, such as dispatching technicians with paper manuals or limited phone support, are inefficient, error-prone, and slow. Technicians still rely on outdated systems and disconnected processes. For instance, diagnosing and repairing a CNC machine can take hours due to manual checks, fragmented support systems, and delays in spare part availability further compounding production losses.

By equipping technicians with Generative AI chatbots (text or voice-enabled), manufacturers can provide context-aware support to execute their tasks seamlessly. These AI-driven assistants can help speed up fault diagnosis, deliver guided troubleshooting, and provide predictive intelligence, helping to revolutionize maintenance and ensure operational continuity.

At Saviant, we understand the critical need for speed and accuracy in industrial operations. We help our clients with generative AI consulting services to leverage the power of the most suitable LLMs to design and build intelligent, responsive, and integrated chatbots accessible via both text and voice that enable:

Real-Time Diagnostics

Instant access to step-by-step guidance and historical data tailored to the specific machine.

Parts Recommendations

Automatic identification of required parts and real-time inventory checks with order placements if necessary.

Training and Documentation

On-demand access to training modules and updated manuals.

Increased Efficiency

Drastically reduced diagnostic and repair times, minimizing downtime and improving productivity.

How we work with you - our approach

Our teams build customized Generative AI solutions to help achieve your objectives using a strategic approach, which includes:

1. Assessing
Readiness

Understanding your field service operations, data sources, and existing systems to identify gaps in AI maturity and integration capabilities.

2. Constructing
a roadmap

Creating a step-by-step plan to build your chatbot, including workflow design and integration with real-time equipment data.

3. Designing the
architecture

Choosing the right technology stack and creating a scalable chatbot with intuitive text and voice interfaces that integrate seamlessly with existing systems.

4. Implementing and Supporting

Deploying the chatbot with robust security and compliance, while providing training and ongoing support to ensure adoption and continuous improvements.