Case Study
February 20, 2026
How SurveyMonkey Is Scaling AI - Without Compromising Trust
Blair King Bader
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SurveyMonkey is scaling AI across the enterprise - without compromising trust. See how they partnered with Solid to standardize business logic, improve AI accuracy, and move from experimentation to production with confidence.
Every enterprise wants to embed AI into how work gets done.
But as AI adoption grows, one challenge becomes clear: if AI doesn’t deeply understand your business logic, it can’t be trusted at scale.
That’s exactly the challenge SurveyMonkey set out to solve.
Under the leadership of SVP of Data Meenal Iyer, SurveyMonkey is advancing AI across the organization - from natural language data exploration to AI-powered workflows and decision-support systems. But they’ve taken a deliberate approach: prioritizing governed, trusted data before automation.
Instead of treating AI as a standalone feature, SurveyMonkey is embedding it as a dependable interface to the business - grounded in logic they can stand behind.
If you’re thinking about scaling AI across your enterprise, this case study offers a clear look at what it takes to move from experimentation to production.
👉 Download the full case study here to see how SurveyMonkey is building AI that works in the real world.
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