Leading MedTech Company
Real-World Impact of Context-Aware Agentic AI in Medical Device Quality
Smarteeva's AI agents run autonomously in the backend, automatically populating fields, values, and data without users typing a single prompt.
A leading MedTech company sought to deploy AI agents not as an add-on, but as an embedded co-worker that could handle repetitive but complex investigations and documentation faster and more accurately, without increasing headcount or risking compliance.
Smarteeva's AI agents run autonomously in the backend, automatically populating fields, values, and data without users typing a single prompt.
The Challenge
Generic AI missed device-specific context, investigations took 8-12 days, 15-20% manual rework
- Generic AI missed device-specific terms, causing 15-20% rework on AI-assisted drafts
- Investigation cycles took 8-12 days vs. ideal 3-5 days
- Each investigation consumed 6-8 hours; 40% spent on data lookup and formatting
- Data preparation consumed 2-3 hours per complaint with 5-8% error rate
- Prior AI tools had low adoption and were rarely used for high-stakes decisions
How Smarteeva Solved It
Smarteeva partnered with the customer to design and deploy a purpose-built solution:
- Context-aware AI with session memory: loads device history, prior complaints, regulatory precedents
- SmartExtraction: 96% first-pass accuracy on field extraction from PDFs, emails, forms
- Semantic matching for similar-case intelligence (finds cases even when terminology differs)
- Dynamic compliance checklists with intelligent real-time validation
- Smart Summaries consolidating 10+ complaints into pattern-analysis summaries
- Continuous refinement based on regulatory feedback and acceptance patterns
Results
96%
First-pass extraction accuracy
3-5 days
Investigation cycle time (down from 8-12 days)
<2%
Pre-submission error rate (down from 12-15%)
35%
Reduction in regulatory resubmission rates
.png)
