The ROI of MadeAi™ for Literature Reviews
Traditional literature reviews in life sciences are slow, resource-intensive, and expensive. On average, in-house teams spend over 1,000 hours and $90,000 to complete a single review.
MadeAi™ changes that. By combining GenAI automation with expert services, MadeAi reduces both cost and effort—while maintaining the rigor, transparency, and quality demanded by regulatory and HTA stakeholders.
ROI at a Glance
The detailed model below demonstrates how proven GenAI capabilities are leveraged to accelerate certain phases of the literature review process. To understand how this model plays out in day-to-day research checkout our whitepaper on The ROI of GenAI Enablement for the Literature Review Process that details the considerations for the model and compares various delivery methods for conducting a literature review.
| Phase for Literature Review Process | Traditional Human Approach (hours) | Madeai-LR AI (hours) | Madeai-LR Human Validation (hours) |
Total (hours) | Savings (%) | Time Saving Areas |
|---|---|---|---|---|---|---|
| Search | 2 | - | 0.08 | 0.08 | 96% | Integration to PubMed & Embase |
| Deduplication | 2 | 0.008 | - | 0.008 | 100% |
|
| Title & Abstract Screening (Custom - 2,500 articles) | 400 | 0.2 | 80 | 80.20 | 80% |
|
| Full Text Screening (Custom - 500 articles) | 320 | 0.5 | 200 | 200.50 | 37% |
|
| Full-text Purchase and Management | 10 | - | 5 | 5.00 | 50% | Access to CCC RightFind |
| Data Extraction (Summary-Level Extraction - 25 articles) | 20 | 0.25 | 10 | 10.25 | 49% | Links to source text enhance validation |
| Quality Appraisal (25 articles) |
40 | - | 35 | 35 | 13% | Converts results to charts and tables based on standard appraisal tools |
| Individual Article Summary (SAS - 25 articles) | 120 | 0.5 | 50 | 50.5 | 58% |
|
| Literature Summary (1 MAS) |
25 | 0.17 | 10 | 10.17 | 59% |
|
| CO Report (Literature Review section) | 80 | 0.2 | 50 | 50.2 | 37% |
|
| PRISMA Chart | 4 | Real time | 0 | 0 | 100% | Automatically populated chart in no time |
| Total | 1,073 | 1.828 | 490.08 | 441.9 | 54% |
Why it Matters
- Cut Time & Cost: Reduce review expenses by more than half while accelerating project delivery.
- Scale Confidently: Handle large review volumes without overburdening internal teams.
- Maintain Rigor: Built-in transparency and validated AI processes ensure scientific quality.
- Leverage Expertise: Access a seasoned services team with experience co-authoring peer-reviewed publications.
- Bottom Line: MadeAi transforms literature reviews from a resource-heavy bottleneck into a faster, more cost-effective, and strategically valuable asset.
Contact Info
Connect with our experts to see how MadeAi slashes literature review time and costs.