# Bedrock Inventory Information

Please copy this file **exactly**. Do not remove sections.  Enter data as requested.
For checkboxes, put an `x` in the box in lowercase, without spaces, like `- [x]`.

When complete, submit to OIS.  OIS will place this into the `ai-inventory/requests/` directory
and then submit a PR to have it configured and addressed.

## Version 

* Date: 2026-05-15
* Version: 1.0.4

## Links

* https://docs.aws.amazon.com/govcloud-us/latest/UserGuide/govcloud-bedrock.html
* https://docs.aws.amazon.com/bedrock/latest/userguide/models-region-compatibility.html

## Basic Information

1. Contact Name(s): Kenneth Dawson, Kevin Shaw, Pramod Chandewar
1. Contact Division(s): Decennial Information Technology (DITD)
1. Contact Email Addresses:

## Bedrock Requested Information

1. Company name
   * _U.S. Census Bureau_
1. Company website URL
   * _https://census.gov/_
1. What industry to you operate in? *Government*
1. Who are your intended users?
   - [x] Internal employess
   - [ ] External users
1. Describe your use cases (do not share any PII or IP information):
1. Bedrock Models Desired
   - Available in govcloud west and east
     - [x] anthropic.claude-4-5-sonnet
     - [ ] amazon.titan-embed-text
   - Available in govcloud west only
     - [x] meta.llama3-8b
     - [ ] meta.llama3-70b
   - Not yet available but FedRAMP validated
     - anthropic.claude-4-6-sonnet
   - Legacy, cannot enable
     - anthropic.claude-3-haiku
     - anthropic.claude-3-5-sonnet
     - anthropic.claude-3-7-sonnet
   - Remove, cannot enable
     - amazon.titan-text-express
     - amazon.titan-text-lite

## Federal Standards Requested Information

1. Unique ID
   * To be assigned upon configuration, of the form YYYYMMDD-S.
1. Project Name
   2030 Clerical Matching and Map Update
1. Project Summary
    *Case Review and Resolution Support This AI helps staff review unresolved cases more efficiently by reducing manual matching work, speeding up processing, and providing suggested explanations or comments to support human decision-making.
Model Evaluation and Improvement This AI helps teams test and improve AI models by identifying weaknesses more quickly, improving accuracy, and providing insights that guide model updates and refinements.
Duplicate Detection and Data Quality This AI helps identify and resolve duplicate records with less manual effort, leading to more consistent decisions, clearer explanations for matches, and higher-quality, more accurate data.
1. Development Stage
    *Research
1. Data Sensitivity
   * Does the system process PII or other Sensitive data? No
   * If so, what type(s)
     - [ ] Title 5/PII
     - [ ] Title 13
     - [ ] Title 26
     - [x] Others (describe types)Pseudo Data
1. DMS or CMS Project Number
   * 7531778
1. Dates (if CMS/DMS projects, enter the project start/end dates here)
   * Start Date:12/14/2022
   * End Date:02/15/2027

## Deployment Details

1. List of AWS account numbers and aliases where this will be used
   - GovCloud Account ID : 001522620024
   - GovCloud Account Alias : edl-addcp-dev-ew
1. Regions where this will be used (not all models directly available in all regions)
   - [ ] us-gov-east-1
   - [x] us-gov-west-1
1. CSVD CRF Number:NA
1. FinOps Project Number:fs0000000001
1. FinOps Project Name:edl_ditd_cmmu

# CHANGELOG

- 1.0.0 -- 2026-04-20
  - initial
- 1.0.1 -- 2026-04-21
  - added Models
  - added finops and CRF
- 1.0.2 -- 2026-05-05
  - add Regions
  - add links
- 1.0.3 -- 2026-05-07
  - add data sensitivity, change to checkboxes
  - added date start/end
- 1.0.4 -- 2026-05-15
  - remove models not available
     - amazon.titan-text-express
     - amazon.titan-text-lite