Normalized claim
Response time: 80%
"response times by 80 percent"
Municipality of Panama improves inquiry response times by 80% with Grupo TX’s generative AI chatbot on AWS
Use case typeCitizen service managementUpdated Jul 15, 2026
The Municipality of Panama uses a generative AI chatbot on AWS to help employees answer construction-regulation inquiries faster and more consistently. Grupo TX designed the solution with a retrieval-augmented generation architecture, Amazon Lex for chat interaction, Amazon S3 for document storage, AWS Lambda for backend orchestration, and Amazon Bedrock for less common questions. The chatbot is embedded into the municipality's contact-center workflow and is designed to handle Spanish and colloquial language.
- Organization
- Municipality of Panama
- Industry
- Public Sector
- Location
- Panama
- Published
- July 2026
Reported outcomes
80%
response timeTime & speed
+100%inquiries handled per representative per day100%uptime150%roi
Strategic outcomes
Customer experience & trustFaster access to regulatory answersRisk & complianceMore consistent regulatory guidance
Why do we believe this?Outcome claims, sources, and evidence checks
Normalized claim
Inquiries handled per representative per day: 100% increase
"more than doubled the number of constituents each staff member could help daily"
Normalized claim
Uptime: 100%
"99.999 percent uptime"
Normalized claim
Roi: 150%
"a return on investment of 150 percent in just six months"
Why do we believe this deployment?Customer identity, provider attribution, maturity, and source checks
- Customer
- Municipality of Panama
- Provider
- AWS
- Maturity
- Unknown
- Linked source
- AWS Solutions Case Study
No explicit deployment-stage evidence found.
Customer identity supportedSource describes one deploymentMaturity evidence evaluated
Primary read
Use case focus
Showing 3 of 3
- 1Citizen service management
- 2Customer service automation
- 3Regulatory inquiry automation
- Construction-regulation inquiries required in-depth research or consultation with specialists, causing long wait times.
- Staff struggled to keep up with high call volumes and provide consistent answers.
- The municipality needed a solution that improved service while staying within a tight public-sector budget.
- Built a specialized generative AI chatbot on AWS and embedded it directly into the employee contact-center workflow.
- Used a two-tier response system: FAQ matches for common questions and Amazon Bedrock for less common questions.
- Stored documentation in Amazon S3 and connected the chatbot to information repositories with AWS Lambda.
- Added guardrails to avoid sensitive or political topics and included support for Spanish and colloquial phrasing.
- Average response time fell from about 15 minutes to less than 3 minutes.
- The number of inquiries each representative can handle per day more than doubled.
- The chatbot achieved 99.999 percent uptime.
- The municipality reported 150 percent ROI in six months.
Sources & evidence1
Evidence: Medium50/100Evidence strength
- Customer explicitly identified
- Primary source available
- Quantified outcome available
- Technical implementation details available
Type: Customer StoryPublished: Jul 15, 2026Publisher: AWSEvidence: PrimaryConfidence: High
AI-generated summary. Verify important details with the linked sources before relying on this case.
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