Microsoft Public Sector Argentina

Government of the City of Buenos Aires

Customer Service Automation · Enterprise Knowledge Search · Real-time Analytics

The Government of the City of Buenos Aires faced a challenge in the management of multiple service channels and in the personalization of key services for residents and tourists.

50% operational load reduction and 6,539 real-time interactions in one night
Before Boti, citizen services in large cities faced common difficulties: long lines, saturated communication channels, and a poorly integrated experience.
Boti manages 2M queries per month without human intervention, alleviating the operational burden by 50%, improving the citizen experience and increasing efficiency.
During the pandemic, Boti established itself as a fundamental channel, providing updates on COVID-19 symptoms and prevention, monitoring mild cases, granting appointments for vaccination, delivering test results

Reported impact

Business outcome

Boti manages 2M queries per month without human intervention, alleviating the operational burden by 50%, improving the citizen experience and increasing efficiency.

  • Compliance
  • Customer Experience
  • Productivity Improvement
  • Scalability

Solution

The Government of the City of Buenos Aires faced a challenge in the management of multiple service channels and in the personalization of key services for residents and tourists. Boti with ChatGPT, developed with Microsoft Azure OpenAI Services, is a chatbot that centralizes data, enables natural language interactions, and scales to handle high demands. Imagine a city where running errands, getting key information, or planning your day is as easy as sending a message. In Buenos Aires, this is a reality. Boti, the AI-powered chatbot, handles over 2 million queries per month without human intervention. With the integration of Azure OpenAI Services and other tools, Boti has evolved with ChatGPT to offer more personalized interactions Before Boti, citizen services in large cities faced common difficulties: long lines, saturated communication channels, and a poorly integrated experience.

Data flow

Source content is gathered from the organization's documents and knowledge repositories, Azure OpenAI Service interprets or generates responses from that content, and the resulting answers or assessments are surfaced to employees or citizens through the application workflow.

Solution architecture

1 components · 1 layer
  1. Compute
    • Azure OpenAI Service Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.

Architecture clues

  • Azure OpenAI Service: Runs the large-language-model features for classification, summarization, retrieval, or conversational responses in the solution.
  • Before Boti, citizen services in large cities faced common difficulties: long lines, saturated communication channels, and a poorly integrated experience.
  • Boti manages 2M queries per month without human intervention, alleviating the operational burden by 50%, improving the citizen experience and increasing efficiency.
  • Boti with ChatGPT, developed with Microsoft Azure OpenAI Services, is a chatbot that centralizes data, enables natural language interactions, and scales to handle high demands.
  • Imagine a city where running errands, getting key information, or planning your day is as easy as sending a message. In Buenos Aires, this is a reality.
  • With the advent of large language models (such as ChatGPT), the GCBA decided to take the chatbot to the next level

Evidence from the source

Boti manages 2M queries per month without human intervention, alleviating the operational burden by 50%, improving the citizen experience and increasing efficiency.
Boti with ChatGPT, developed with Microsoft Azure OpenAI Services, is a chatbot that centralizes data, enables natural language interactions, and scales to handle high demands.
Imagine a city where running errands, getting key information, or planning your day is as easy as sending a message. In Buenos Aires, this is a reality.
The Government of the City of Buenos Aires faced a challenge in the management of multiple service channels and in the personalization of key services for residents and tourists.
Transparency Evidence & methodology 95/100 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 value95/100
  • 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
    2 metrics describe measurable impact.
  • Deployment scale5/10
    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

    Government of the City of Buenos Aires customer story

    First-party
    https://www.microsoft.com/en/customers/story/21596-government-of-the-city-of-buenos-aires-azure-open-ai-service
    Source type
    Vendor-published customer story
    Published
    Jan 28, 2025
    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 Jan 28, 2025 · 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.