diff --git a/inventory/20260504-1.yml b/inventory/20260504-1.yml
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+template_date: 2026-05-05
+template_version: 1.0.2
+basic:
+    date: 2026-05-04
+    version: 1.0.0
+    contact_info:
+        - name: Sreenivas Karpurapu
+          division: DITD
+          mail: sreenivas.karpurapu@census.gov
+        - name: Ama Danso
+          division: DITD
+          mail: Ama.A.Danso@census.gov
+
+bedrock_information:
+  company_name: U.S. Census Bureau
+  website_url: https://census.gov/
+  industry: Government
+  intended_users:
+    internal_employees: true 
+    external_user: false
+    use_case_description: |
+      QUANTM's AI Enhanced Clerical Matching Solution evaluates the application of large language models to support
+      In Field Enumeration (IFE) and Census Data Quality Assurance (CDQA) by performing intelligent matching of complex records,
+      reducing manual clerical effort while producing transparent, explainable decisions consistent with expert human judgment.
+
+bedrock_models:
+  - anthropic.claude-4-5-sonnet
+
+federal_standards_information:
+  id: 20260504-1
+  project_name: QUANTM
+  project_summary: |
+    As part of the quality operations of the US Census Bureau, computer matching and clerical operations are employed.  These efforts help in the assessment
+    of the quality of data collection. The existing operations have constraints in their ability to accurately match and compare complex datasets, resulting in high number
+    of cases being flagged or removed. This process is time-intensive and expensive, creating a significant burden on human resources. 	With the advanced AI capabilities
+    available in the industry, QUANTM is assessing their feasibility to support the quality assessment efforts and reduce the clerical footprint. The bureau aims to explore
+    whether large language model (LLM) technology can replicate and improve upon the reasoning processes used by human clerks.
+  development_stage: active
+  data_sensitivity: |
+   Title 13. Demographic data from census survey responses
+  dms_project_number: 7535836
+  cms_project_number: null
+
+deployment_details:
+  crf_number: NUMBER
+  finops_project_number: 1
+  finops_project_name: edl_ditd
+  accounts:
+    - account_id: 001502248272
+      account_alias: edl-addcp-prod-gov
+      regions:
+        - us-gov-west-1
+      environment: prod
+      commercial_account_id: 563127383709
+      commercial_account_alias: edl-addcp-prod-ew
+
+history:
+  - date: 20260505
+    comment: created