Two Global MedTech Companies

Two MedTech Companies, One Platform: How Smarteeva's Agentic AI Adapts to Different Quality Strategies

Both companies use the same Smarteeva platform yet in completely different ways. AI in MedTech does not have to mean compromise. With Smarteeva, it adapts to your strategy, whether that means human-in-the-loop or full automation.
John Connell
Director, Global Post-Market Surveillance
2 Models
Enterprise LLMs (GPT-4 + Claude) running in parallel
Days→Hrs
Documentation time cut with AI-assisted reporting
Zero
Prompts needed for fully autonomous intake processing

In MedTech, the question quality and regulatory teams ask most often about AI is straightforward: Can it actually work inside our processes without putting compliance at risk?

Two companies answered that question in completely different ways using the same Smarteeva platform. One chose a human-AI partnership model. The other configured full autonomy. Both succeeded on their own terms.

Both companies use the same Smarteeva platform yet in completely different ways. AI in MedTech does not have to mean compromise. With Smarteeva, it adapts to your strategy.

Customer A: A Diagnostics Company Focused on Human-AI Partnership

This organization integrated their enterprise LLMs with Smarteeva's Agentic AI to boost reporting efficiency. Two models were configured to run in parallel: GPT-4 for general analysis and Claude for risk assessments. The AI provides recommendations side by side, allowing quality leads to compare insights before making final decisions.

Their quality team uses Smarteeva AI to summarize complaint details, pre-fill regulatory reports, and generate multilingual translations. Documentation time dropped from days to hours. Human judgment stays in the loop at every step. The AI recommends. The team decides.

Customer B: A MedTech Enterprise Pursuing Full Autonomy

This company took a different approach. They configured Smarteeva AI to run autonomously in the backend, populating fields, values, and data without anyone typing a single prompt.

Administrators define which objects to enable AI for (complaints, investigations), control user permissions, and activate Smart Suggestions. The system continuously improves prompt logic in the background. When a complaint arrives, Agentic AI pulls product details from the ERP, cross-references customer history, identifies similar cases, standardizes the data, generates a summary, and produces an intake report ready for human review. The entire sequence takes minutes.

Why This Matters

Smarteeva ships pre-built AI Agents for fast out-of-the-box deployment. Teams can configure and extend agents for their specific processes, or build custom agents for domain-specific tasks. Data never leaves the Smarteeva environment. Every AI action is traceable for audits. And teams stay in control at whatever level of autonomy they choose, from full human oversight to near-complete automation.

The same platform. Two completely different strategies. Both compliant. Both measurable. Both working.

Results

2 Models
Enterprise LLMs (GPT-4 + Claude) running in parallel
Days→Hrs
Documentation time cut with AI-assisted reporting
Zero
Prompts needed for fully autonomous intake processing
100%
Audit trail coverage across all AI actions