Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
2Distinct papers
24Unique collaborators
2/2Semantic Scholar citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Semantic Scholar:
2334335853
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Abdul Rahman (semantic scholar, provider refresh)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 2 papers
- Adoption: 1 paper
- Governance: 1 paper
- Org Design: 1 paper
- Productivity: 1 paper
Claim outcomes
- Governance And Regulation: 1 paper
- Organizational Efficiency: 1 paper
- Regulatory Compliance: 1 paper
- Adoption Rate: 1 paper
- Task Allocation: 1 paper
- Ai Safety And Ethics: 1 paper
- Automation Exposure: 1 paper
- Decision Quality: 1 paper
- Firm Productivity: 1 paper
Papers in the Semantic Scholar view
Latest stored Semantic Scholar author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Embedding governance inside LLM agents yields high compliance in one retail deployment: a four-layer Pre-Action Governance Reasoning Loop delivered 95% compliance and no false human escalations in a production supply-chain workflow; however, the result rests on a single proprietary implementation with limited methodological transparency.arxiv | Abdul Rahman provider id |
2026-04-28 | 0 |
| A modular agentic AI system, Flowr, cut manual coordination and tightened demand-supply alignment in a supermarket-chain pilot by automating decision-intensive supply-chain tasks while keeping managers in the loop; findings are promising but rest on a single-firm deployment without rigorous causal controls.arxiv | Abdul Rahman provider id |
2026-04-07 | 1 |
Citation observation summary
Semantic Scholar supplied counts for 2 of 2 papers in this view; 0 are missing. The observed paper counts sum to 1 cumulative citations. This is a coverage summary, not an author score or h-index.