Use Case Intelligence RSS Search use cases Search
Microsoft Public Sector Greece

Hellenic Cadastre

Customer Service Automation · Document Processing · Enterprise Knowledge Search

Hellenic Cadastre, responsible for Greece's property records, faced delays and inefficiencies as property transactions required manual processing of paper documents, leaving some citizens waiting months or even years to legally own their property.

Read the original story Explore all use cases
One manual, time-consuming process that the Ministry decided to streamline was land purchases. Traditionally, a person intending to buy a house had to go to the local registry office with a large stack of documents.
The Ministry introduced these changes carefully and gradually across its offices. "Upskilling staff for AI is the biggest challenge for the public sector," reflects Kyranakis.
The system also tracks the cost per assessment. "Right now, the cost of each contract assessment is 0.11 euros, down from 15 euros before adopting Azure OpenAI," he notes.
Today, 90% of transactions across all local land registry offices are processed online. This gives the Ministry complete transparency.

Reported impact

Business outcome

Today, property transaction assessments take less than 10 minutes instead of hours, reducing costs from 15 euros to 0.11 euros per assessment.

  • Compliance
  • Cost Reduction
  • Productivity Improvement
  • Risk Reduction

Solution

Hellenic Cadastre, responsible for Greece's property records, faced delays and inefficiencies as property transactions required manual processing of paper documents, leaving some citizens waiting months or even years to legally own their property. To address this, Hellenic Cadastre built a system that reads and categorizes property contracts, applies legal rules, and provides assessments for approval using Azure OpenAI Service. Today, property transaction assessments take less than 10 minutes instead of hours, reducing costs from 15 euros to 0.11 euros per assessment. The system also enhanced property owners' legal security and boosted the Greek economy by enabling transactions to be completed sooner. Greece's Ministry of Digital Governance oversees digitizing public services for citizens and businesses. The Ministry optimizes and digitizes all sorts of processes, everything from shipping to paying fines.

Data flow

Operational and business data is gathered from the customer's source systems and published to teams through Power BI dashboards.

Solution architecture

2 components · 2 layers
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  2. Serving
    • Power BI Publishes dashboards and reports so teams can monitor operations and act on live insights.

Architecture clues

  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Greece's Ministry of Digital Governance oversees digitizing public services for citizens and businesses. The Ministry optimizes and digitizes all sorts of processes
  • One manual, time-consuming process that the Ministry decided to streamline was land purchases. Traditionally
  • Power BI: Publishes dashboards and reports so teams can monitor operations and act on live insights.
  • To address this, Hellenic Cadastre built a system that reads and categorizes property contracts, applies legal rules
  • Today, property transaction assessments take less than 10 minutes instead of hours, reducing costs from 15 euros to 0.11 euros per assessment.

Evidence from the source

Hellenic Cadastre, responsible for Greece's property records, faced delays and inefficiencies as property transactions required manual processing of paper documents
One manual, time-consuming process that the Ministry decided to streamline was land purchases. Traditionally, a person intending to buy a house had to go to the local registry office with a large stack of documents.
To address this, Hellenic Cadastre built a system that reads and categorizes property contracts, applies legal rules, and provides assessments for approval using Azure OpenAI Service.
Today, property transaction assessments take less than 10 minutes instead of hours, reducing costs from 15 euros to 0.11 euros per assessment.
Transparency Evidence & methodology 100/100 reference value · 89% confidence · 1 source

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value100/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact25/25
    3 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence89%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability21/25
    10 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency8/10
    1 source reference document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity10/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. Microsoft

    Hellenic Cadastre customer story

    First-party
    https://www.microsoft.com/en/customers/story/20308-hellenic-cadastre-azure-open-ai-service
    Source type
    Vendor-published customer story
    Published
    Dec 9, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date

Date evidence

  • Published on source page Dec 9, 2024 · Microsoft · First-party
    Open date source
Not separately sourced Industry, Region, Company size. Treat these normalized attributes as lower-confidence until a dedicated source is added.

Related

Similar use cases

See all like this
Microsoft Feb 5, 2025 Vodafone Telecommunications Global In the face of rising customer demand for new digital services, global telecommunications provider Vodafone is exploring innovative ways to enhance the customer experience, including better handling of complex inquiries… Africa, Vodafone serves more than 330 million customers in 15 countries Customer Service AutomationDocument Processing Azure AI Foundry · Azure AI Search · Azure AI Services Microsoft Jan 28, 2025 U.S. Venture Financial Services United States U.S. AutoForce pays thousands of invoices per day and 50% of orders are for same day delivery. Its legacy supply chain and warehouse management tools could no longer reliably perform at this volume and the finance team… A difference on day one with Microsoft 365 Copilot for Finance Customer Service AutomationDocument Processing Dynamics 365 Finance · Microsoft 365 · Microsoft 365 Copilot Microsoft Dec 3, 2024 KMS Lighthouse Software / SaaS Global Always seeking innovation, it aimed to enhance its knowledge management platform to provide more efficient content creation and advanced AI capabilities for its global clientele across various industries. "Our net new business exceeded $1 million in the first few months." We've seen an increase in demand for our… Customer Service AutomationDocument Processing Azure Marketplace · Azure OpenAI Service · Dynamics 365 Field Service