THE REALITY
Most AI today fails even basic scrutiny for MRX value but also creates barriers to pace.
Large language models (LLMs) have transformed the internet - and your surveys. Respondents can now generate text responses and navigate checks with tools that didn’t exist two years ago.
At the same time, MR teams are asked to do more with less. Manual reviews, endless back-and-forth with vendors, late-stage surprises — all bottleneck the research workflow.
AI can help, but only if it’s built from inside the research process.
OUR PHILOSOPHY
Human-Led. AI-Supported.
We don’t believe AI should replace researchers or take over your judgment calls.
Instead, OpinionRoute AI acts as a co-pilot, handling repetitive checks, surfacing issues early, and giving researchers more space to think.
Our rule is simple:
AI should amplify expertise — never override it.
WHAT OUR AI ACTUALLY DOES
AI Built Into the Parts of Research That Slow You Dow
OpinionRoute Tech doesn’t sit on the sidelines. It embeds and detects AI directly within programming, testing, fieldwork oversight, and data review.

Survey Programming Workflow
- Identifies question & answer structure and logic
- Starts programming work
- Connects to different survey platforms
- Accelerates research survey testing/ QA

In-Survey Quality
- Detects AI-generated text
- Identifies translator or utility interference
- Flags suspicious patterns without penalizing real respondents

Post-Survey Review (QC Flow AI Co-Pilot)
- Evaluates open-ends with context-aware scoring
- Surfaces questionable cases for human review
- Reduces manual reading without losing nuance

Operational Oversight
- Highlights risk earlier in the field
- Detects anomalies vendor dashboards miss
- Helps PMs and researchers adjust course faster
BUILT FOR MRX, NOT GENERIC AUTOMATION
AI Aligned to How Research Actually Works
Most AI tools fail in MR because they assume over-standardization, simply client needs and low impact bar. Research rarely looks like that.
OpinionRoute AI is trained on patterns inside Navigator, CleanID, ResponseID, and thousands of real projects — giving it the context general-purpose AI models don’t have.
This is AI tuned to:

Real Research workflows

Complex Survey Execution

MR-specific quality threats

Target Audience nuances

Sample vendor irregularities

Dynamic team structures
It’s not generic automation — it’s applied research intelligence.
HOW AI PROTECTS YOUR DATA
Quality Protection That Keeps Up With Modern Threats
The rise of AI-enabled respondents and cheap fraud means old quality methods break quickly.
OpinionRoute AI helps you stay ahead by:

Detecting AI-written responses

Catching impossible patterns earlier

Understanding hospital network behaviors (reducing false positives)

Identifying out-of-context or incoherent answers

Guiding human reviewers to the cases worth inspecting
Why it matters for the MRA
AI That Gives Researchers Time Back
Every MRA feels the squeeze — shrinking teams, rising expectations, and more unpredictable sample environments.
Our AI co-pilots restore margin, reduce risk, and help teams do more in less time.
With AI doing the repetitive work, researchers finally get space to think again.
Ready for AI That Makes Your Work Better?
Let us show you how Navigator’s AI co-pilots can remove friction from your workflow and strengthen your data quality — without replacing the expertise that makes your work valuable.

