diff --git a/inventory/20260421-1.yml b/inventory/20260421-1.yml
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+
+template_date: 2026-04-21
+template_version: 1.0.1
+basic:
+    date: 2026-04-21
+    version: 1.0.0
+    contact_info:
+        - name: Sreenivas Karpurapu
+          division: Response Security and Data Integrity 
+          mail: sreenivas.karpurapu@census.gov
+        - name: Ama Danso
+          division: Response Security and Data Integrity 
+          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: 20260421-1
+  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: |
+   Yes, Demographic data from census survey responses
+  dms_project_number: 7535836
+  cms_project_number: none
+
+
+deployment_details:
+    crf_number
+    finOps_project_number: fs0000000001
+    finOps_project_name: edl_ditd
+    project_role: edl_ditd_quantm
+accounts:
+-account_id: 001502248272
+ account_alias: edl-addcp-prod-ew
+ environment: prod
+ management_account_name: edl-management-ew
+ management_account_project_role: edl-u-7535836
+ tenant_account_project_environment_role: r-edl-prod-7535836
+
+
+history:
+-date: 20260421
+ comment:
+ 
+