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 →
1Distinct papers
1Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5137069924
ORCID evidence
No valid ORCID is stored.
Observed aliases (1)
- Sumana Chaudhuri (openalex, provider refresh)
Topics and outcomes in this view
Assessment themes
- Adoption: 1 paper
- Governance: 1 paper
- Productivity: 1 paper
- Skills Training: 1 paper
Claim outcomes
- Adoption Rate: 1 paper
- Output Quality: 1 paper
- Ai Safety And Ethics: 1 paper
- Error Rate: 1 paper
- Firm Productivity: 1 paper
- Organizational Efficiency: 1 paper
- Research Productivity: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex 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 |
|---|---|---|---|
| AI can noticeably strengthen SMEs' financial management—improving cash‑flow forecasting, credit risk assessment and fraud detection—but real gains require data, staff skills and proper governance; cloud solutions, targeted training and explainable AI are key enablers.openalex | Sumana Chaudhuri provider id |
2026-05-26 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.