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Case Study · Auctions

Customer answers,
self-served.

Azure AI Foundry · Agent Framework

A high-volume contact centre fielded the same questions on repeat. We built a governed conversational assistant that answers — source-grounded, cited, and safe — 24/7.

  • Auctions
  • Conversational AI
  • Azure
Overview

At a glance

What was built, on what, and why it matters.

Industry
Auctions & Valuation Services
Domain
Customer Support
Solution
Conversational AI · Customer Self-Service · Knowledge Management
Technology partner
Microsoft
AI accelerator
Microsoft Agent Framework
Impact

Key outcomes

Measured where it counts.

  • 0124/7 self-service support for customer enquiries
  • 02Source-grounded responses with transparent citations
  • 03Enterprise-grade AI governance and safety controls
  • 04Reduced manual effort for repetitive support interactions
The challenge

The same questions, on repeat.

The contact centre managed a high volume of repetitive enquiries — auctions, bidding, payments, collections, account support. The information already existed across FAQs and resources, yet customers kept relying on support teams to find it.

The business needed a conversational AI solution that delivered accurate, trustworthy responses while meeting enterprise requirements for governance, safety, traceability, and quality.

The solution

Grounded answers, governed.

Azure AI Foundry + Agent Framework, with enterprise safety controls.

DBiz designed and implemented an AI-powered conversational assistant that lets customers get answers through a natural-language interface.

Built on Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, and Azure Cosmos DB, it delivers source-grounded responses across key journeys. For enterprise deployment, it incorporates content safety, PII protection, prompt-injection defence, conversation-history management, governed response behaviour, and fallback handling — with transparent source references to build trust.

The result

Independent customers, lighter support load.

Customers resolve common enquiries independently through a secure, reliable self-service experience. By automating high-frequency answers, the organisation reduced pressure on support teams and improved consistency.

The implementation established a governed framework for conversational AI — the controls needed to scale future AI initiatives with confidence.

Under the hood

Technology stack

LayerTechnology
AI platformAzure AI Foundry
Generative AIAzure OpenAI
Search & retrievalAzure AI Search
AI acceleratorMicrosoft Agent Framework
Data storageAzure Cosmos DB
Governance & securityContent Safety · PII Protection · Prompt-Injection Defence
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