Reported impact
Business outcome
The tool saves time for associates, speeds up drafting and summarization, supports multilingual use across international markets, and frees employees to focus on strategy, idea generation, and relationship-building.
- Productivity Improvement
- Scalability
Solution
Walmart built My Assistant as an internal generative AI workspace for associates and rolled it out first to 50,000 U.S. campus employees before extending access across international markets. The employee-facing serving layer is the My Assistant application, which accepts prompts in associates' native languages and returns first drafts, large-document summaries, and topic-specific thought starters. The system is grounded in Walmart-specific knowledge, indicating an internal knowledge base is loaded into the assistant to tailor responses to company context, although the article does not identify the upstream data sources, storage services, retrieval method, or external model provider. Walmart says its existing technology foundation let the team move from vision to viable in about 60 days, then improve the tool using associate feedback as it expands globally. The implementation described is therefore a multilingual enterprise GenAI assistant embedded in internal employee workflows.
Data flow
Associates submit prompts to My Assistant in their native language; the tool uses Walmart-specific knowledge to generate first drafts, summarize large documents, and provide thought starters, then returns the output directly to associates for strategy, idea generation, and relationship-focused work. The article does not disclose the underlying storage, retrieval, or model orchestration layers.