Your Complaint Volume Is Growing. Your Team Isn't. Now What?

Smarteeva lets you scale post-market surveillance across more products, more markets, and more regulatory requirements, without proportionally scaling your team. The answer to growing volume isn't more headcount. It's better technology.

Trusted by 450+ MedTech companies of every size

Volume is compounding. The traditional response isn't working.

Portfolios and markets keep expanding
More products, more geographies, more regulatory frameworks. EU MDR alone added significant new PMS reporting requirements that didn't exist before.

Complaint volumes follow device volumes

More devices in the field means more feedback, more adverse events, and more reporting obligations. The workload grows whether your team does or not.

Hiring more people doesn't fix the process
Qualified professionals are scarce, expensive, and slow to onboard. And when you do hire, you're adding people to the same manual, disconnected processes.

Costs scale linearly with volume. Efficiency doesn't. Smarteeva breaks the equation.

AI handles what scales with volume

Intake, classification, triage, adverse event detection, data assembly, report generation, all automated so your team focuses on decisions, not data work.

Same team. Any volume

A system that handles 100 complaints per month handles 10,000 with the same team, the same quality, and the same regulatory rigor.

That's not a claim. It's how it works.

When AI handles the data-intensive work and humans focus on expertise, capacity scales with the platform, not with headcount.

The Five Scaling Bottlenecks Smarteeva Eliminates

Bottleneck 1: Complaint Intake

Without Smarteeva: Every complaint requires manual data entry, classification, and routing. As volume grows, your intake team becomes the bottleneck. Complaints sit unprocessed. Triage delays accumulate. Regulatory clocks tick while complaints wait in queue.

With Smarteeva: AI automates intake from every channel, auto-classifies complaints, risk-scores them in real time, and routes them to the right team. Processing time per complaint drops from hours to seconds. Your intake process handles 100x the volume with the same team.

Bottleneck 2: Adverse Event Detection

Without Smarteeva: Every complaint narrative must be manually reviewed to determine if a reportable adverse event is present. At low volumes, this is manageable. At high volumes, it's impossible to maintain the same level of scrutiny for every complaint. Events get missed. Regulatory risk increases with every complaint your team doesn't have time to read carefully.

With Smarteeva: AI scans every complaint narrative — every word, every time — with the same level of attention regardless of volume. If you process 50 complaints per day or 500, the AI reviews them all. Potential adverse events are flagged with evidence. Your team reviews the flags, not the entire queue.

Bottleneck 3: Investigation & CAPA

Without Smarteeva: Investigations start from scratch every time. As complaint volume grows, investigators are overwhelmed. Investigation cycle times stretch. CAPA backlogs grow.

With Smarteeva: Machine learning provides intelligent starting points — surfacing similar past complaints, suggesting root causes, and auto-populating investigation forms. Investigations that took weeks now take days. Your team handles more investigations at higher quality because the setup work is automated.

Bottleneck 4: Regulatory Reporting

Without Smarteeva: Every MedWatch report, every MDR, every PSUR requires manual data assembly. As the number of reportable events and product families grows, your regulatory team's reporting burden grows proportionally.

With Smarteeva: Regulatory submissions are generated automatically. MedWatch reports in minutes. PSURs in 8 minutes. Your regulatory team reviews and submits — they don't assemble. The reporting burden doesn't scale with volume because the data assembly is automated.

Bottleneck 5: Quality Analytics & Trend Detection

Without Smarteeva: Quality trends are discovered reactively. At higher volumes, the signal-to-noise ratio worsens. Important patterns are buried in massive datasets.

With Smarteeva: AI-powered analytics detect trends automatically, in real time, across all products and complaint types. Anomaly alerts trigger when patterns deviate from historical baselines. Your team sees emerging issues before they escalate — regardless of total complaint volume.

Real-World Scaling with Smarteeva

Scenario 1: Product Portfolio Expansion

Your company acquires a new product line. 200 new devices in the field. A new complaint history to integrate.

Scenario 2: Geographic Expansion

You're entering the EU market for the first time. EU MDR requires PMS plans, PSURs, PMSRs, and vigilance reporting you haven't done before.

Scenario 3: Complaint Volume Surge

Visibility across every complaint, investigation, CAPA, and trend in real time. Walk into management reviews and regulatory inspections with complete confidence.

Questions? We’re glad you asked.

Can Smarteeva handle large complaint volumes?

Yes. Smarteeva's AI-driven intake, classification, and routing processes are designed to scale with volume.

How does Smarteeva help when we acquire new product lines?

New product lines are configured into the existing Smarteeva platform with product-specific workflows and reporting templates.

Do we need to hire more staff as complaint volume grows?

Smarteeva is specifically designed to break the linear relationship between complaint volume and headcount. AI automates the tasks that scale with volume.