Skip to content
18 Jul, 2025

Transforming Field Operations with Multimodal Agentic AI

Industry Telecoms

At Zinkworks, we are reimagining the future of field operations using cutting-edge AI technology to tackle longstanding inefficiencies in field technician workflows, specifically, those associated with complex field operations and producing a scalable, multi modal, hybrid solution.

 

The Challenge: Field Complexity at Scale

Field engineers often encounter situations that require on-the-spot decision-making and analysis, frequently with limited documentation or expert support. This is especially true in use cases like onsite incidents, pole inspections, where image-based data, obscure labelling formats, and multi-step layered technical documents are a core part of the knowledge base.

 

The Vision: A Smart Assistant for Field Engineers

Our vision is to empower technicians with real-time, intelligent assistance directly in the field. To address this, the solution integrated advanced AI capabilities into a multimodal Field Operations Chatbot, offering engineers an intuitive interface to:

  • Upload and analyze images of field equipment.
  • Audio recording and playback for audio-based question and answering for ease of use from the field using mobile devices
  • Upload and analyze videos from the field equipment including the alarm lights, alerts and cable connectivity
  • Receive contextual operational instructions based on the images, videos and accompanying documentation.
  • Access intelligent search and troubleshooting support, even in low-connectivity environments.

This isn’t just another chatbot, it is a robust, multi-modal assistant leveraging video, audio, image recognition and textual reasoning, purpose-built for the realities of field work.

 

The Solution: A Hybrid AI Architecture

At the heart of the solution lies a hybrid AI approach with a combination of powerful engines:

  • Classification Models to categorize the data sources based on the content structure and format.
  • Vision AI to denoise and enhance the image quality for more accurate interpretation of field specific dataset.
  • LLM Chaining for prompt reasoning, pre-processing and intent classification.
  • RAG and CAG Engine for advanced image analysis, multi-step reasoning and precise multimodal document retrieval.

The system dynamically classifies incoming user queries and documentation to route them through the appropriate AI engine, ensuring every interaction is processed with optimal context.

 

Key Innovations
  • Smart Data Ingestion: The field datasets are automatically extracted, chunked, and embedded into a knowledge base using Vertex AI.
  • Advanced Document Analysis: The documents are automatically analysed using tooling such as Document AI to improve data extraction and gain deeper insights from unstructured or structured document information; thus, creating high-accuracy processors to extract, classify, and split documents.
  • Image Driven Intelligence: Advanced algorithms to detect poor quality images, analyse, de-noised, and augmented via Vision API to generate rich descriptions.
  • Intent Decision Agent via LLM: A large language model intelligently interprets technician queries, choosing the correct AI models for the task.
  • Model Chaining: The multi-agentic platform seamlessly integrates document retrieval, data processing, and response generation for consistent and accurate results.

The solution is capable of handling multi-modal, multi-step logical reasoning under real-world conditions. Whether parsing complex wiring at the site, pole plug tables embedded within noisy images or surfacing the correct procedural documentation to troubleshoot a problem, the AI assistant consistently delivered actionable responses with high relevance and clarity.

Why This Matters

Zinkwork’s AI-powered Field Operations solution isn’t just a technological leap, it is a workforce enabler. By putting powerful tools in the hands of field engineers, it minimizes downtime, reduces errors, and enhances overall operational efficiency. More importantly, it marks a pivotal shift in how telcos can deploy GenAI to tackle practical, high-impact challenges in the field.

This is a glimpse into the future of telecommunications, where the power of cloud AI meets the boots on the ground. Contact us to learn more about our innovative solutions and collaborative opportunities.

Author
Priya Saxena
Chief Technology Officer Cloud AI Services