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OB360

AI case studies

Anonymized case studies of OB360’s agentic AI, multi-agent, knowledge graph and document intelligence work. Each one is labeled by stage, so delivered client work, pilots, reference architectures and research are never confused.

How to read these

Four kinds of work, clearly labeled

Client names, project names and identifying details are withheld from every case study. The label on each one states exactly what it is.

  • Delivered client work

    Solutions and consulting engagements that OB360 delivered for a client.

  • Solution design and pilot

    A designed or piloted solution whose production outcomes have not been validated.

  • Reference architecture

    A design proposed by OB360 to show how a class of problem can be solved. Not a client deployment.

  • Research demonstration

    Research and engineering work that explores a capability. Not a deployed product.

Delivered

Delivered client work

Engagements that OB360 delivered for clients in legal and insurance, financial services, multi-channel commerce and agriculture.

Enterprise Knowledge Retrieval and Workflow Automation

Delivered client engagement

Financial Services

Unified internal knowledge retrieval and downstream task automation within a familiar conversational workplace interface.

OB360 implemented an enterprise knowledge assistant inside Microsoft Teams for a financial-services support operation. It retrieves answers from static and live information sources in one conversation and can carry out authorized downstream actions, such as creating an incident.

Read the case study: Enterprise Knowledge Retrieval and Workflow Automation

Multi-Agent Business Intelligence for a Multi-Channel Enterprise

Delivered client engagement

Multi-channel enterprise: sales, inventory and supply chain

One enterprise assistant coordinating product, inventory and portfolio agents, answering business questions from governed data inside Microsoft Teams.

OB360 delivered a multi-agent business intelligence assistant for a multi-channel enterprise. An orchestration hub in Microsoft Teams and Microsoft 365 Copilot Chat routes each question to a product, inventory or portfolio agent, and combines their answers for cross-domain questions.

Read the case study: Multi-Agent Business Intelligence for a Multi-Channel Enterprise

Connected Farmer Intelligence Using Knowledge Graphs

Delivered client engagement

Agriculture and Dairy Ecosystem

A relationship-centric intelligence solution linking farmers, households, livestock, campaigns, societies and service interactions using an enterprise knowledge graph.

OB360 delivered a knowledge-graph solution for a farmer and livestock ecosystem. It reconciles farmer identities across source systems and connects farmers, households, livestock, societies, campaigns and service interactions in a Neo4j graph, exposed through a graph API and relationship-driven dashboards.

Read the case study: Connected Farmer Intelligence Using Knowledge Graphs

An Enterprise Roadmap for Agentic AI Adoption

Delivered consulting engagement

Legal and Professional Services

Aligned business motivations, organizational readiness and technical delivery gaps into an enterprise AI transformation roadmap.

OB360 ran a consulting engagement for a legal services organization that needed an agreed AI strategy. The work assessed people, process and technology readiness, identified the gaps, and produced an AI roadmap built on three pillars: operational efficiency, workforce productivity and decision intelligence.

Read the case study: An Enterprise Roadmap for Agentic AI Adoption

Pilot

Solution design and pilot

Designed and piloted work. The benefits described are intended benefits, not validated production results.

AI Document Intelligence for Product Quotation Preparation

Solution design and pilot

Testing, Inspection and Certification

Designed a document intelligence workflow to extract product specifications, complete questionnaires and assist quotation preparation.

OB360 designed a document-intelligence workflow for a testing, inspection and certification business. It extracts specifications from customer technical PDFs, proposes questionnaire values, compares them with historical quotation context and identifies missing information.

Read the case study: AI Document Intelligence for Product Quotation Preparation

Reference

Reference architecture

A design published to show how OB360 approaches governed multi-agent systems. It is not a client deployment.

Governed Multi-Agent Billing Exception Management

Reference architecture

Legal Services

Reference architecture demonstrating collaborating agents, human approvals, traceability and staged resolution of invoice exceptions.

This OB360 reference architecture shows how six specialized AI agents could coordinate the lifecycle of a legal billing exception: detecting a rejected invoice, retrieving billing context and the applicable guidelines, following up with people, and preparing a correction or appeal.

Read the case study: Governed Multi-Agent Billing Exception Management

Research

Research demonstration

Applied research that shows how OB360 engineers specialized models. It is not a deployed or diagnostic product.

Custom Computer Vision for Livestock Health Screening

Research demonstration

Agriculture and Livestock

Developed a specialized image-model pipeline for assessing visual anemia-risk patterns from lower-eyelid conjunctiva images.

OB360 explored a custom computer vision pipeline to support visual screening of anemia-risk patterns in goats from images of the lower-eyelid conjunctiva. It combines synthetic data generation (DDPM), SAM-assisted annotation, Attention U-Net segmentation, hybrid deep-learning classification and explainable AI.

Read the case study: Custom Computer Vision for Livestock Health Screening

Discuss your AI project

Tell us about your business workflow, users and existing systems. We will discuss the architecture, engineering support and next steps that fit your needs.

Discuss your AI initiativebusiness@onboard360.com