How Lemonade achieves consistent design reviews at scale with agentic AI
H.01
Consistency across reviews Control frameworks are applied the same way across teams, reducing variance in outcomes.
H.02
Throughput that matches development Review cycle time decreased from about two hours to about fifteen minutes, allowing reviews to keep pace with delivery.
H.03
Visibility into design risk posture A single view of design risk consolidates findings by framework, service, severity, and status.
IndustryInsurance
RegionNorth America
Integrations
Intro
As a full-stack insurer that builds both customer experiences and core back-end systems in house, Lemonade has invested in AI from the outset, well before generative AI. Security follows the same principle, using automation and security engineering as a competitive edge. As generative AI enables machine reasoning, Lemonade is moving toward agentic security systems. Clover operationalizes this approach, acting as a fleet of tireless reviewers consistently applying control frameworks across designs, documents, and business-specific data.
challenges
Human reviews are inconsistent
Manual design reviews varied by reviewer, time pressure, and context. Control frameworks were not applied the same way across teams, and feedback loops were unreliable, making it hard to confirm when issues were resolved.
Development velocity outpaces human-only scale
Development velocity outpaced what a human-only process could handle. Designs were triaged by perceived risk, which left coverage gaps.
Design risks lack visibility
Security lacked a clear view of design-stage risks. It was difficult to quantify risk types and counts across services, track whether feedback was addressed, or see trends tied to specific control frameworks.
solutions
Standardized agentic design reviews
Clover’s agentic AI acts as a tireless reviewer, applying multiple control frameworks the same way across teams. Policies are encoded as controls and extended with custom checks for business-specific sensitive data, so reviews stay aligned to Lemonade’s standards.
Automation that keeps pace with development
Reviews shift from manual cycles to a consistent, parallel AI process. Agentic reviewers run continuously to keep pace with development, enabling broader coverage without adding human burden. By interpreting designs in context and incorporating related documents, Clover sustains quality at scale.
Design risk visibility from review to remediation
Design findings roll up into a single view that tracks risk types, counts, and status across services and control frameworks. Progress is visible from first review through remediation, so leadership can see trends and teams can verify that feedback was addressed.
Execution
Turning policy into practice with agentic reviewers
Lemonade moved from ad hoc, person-to-person checks to agentic reviews that apply policy the same way every time. Clover encodes Lemonade’s control frameworks as machine-readable checks, then runs them against each design in context, pulling linked specs, diagrams and insights from existing code, so the review reflects the real system. Where Lemonade has business-specific sensitivities, such as particular data attributes that must never be exposed or retained, custom controls make those rules explicit and enforceable.
quote
“Machines do not have before coffee and after coffee variation, they are consistent. Consistent application of a control framework across documents and consistent review quality.”
Each review produces clear, explainable findings that appear directly in the working document. Every item is tied to the specific control that triggered it, with rationale and references that make decisions easy to audit. Because the reviewers run automatically and do not get tired, teams see a consistent standard across services without waiting on individual availability. The outcome is a single, reliable way to translate policy into practice so engineers can focus on remediating what matters.
Efficiency
Turning hours into minutes with agentic automation
Lemonade replaced manual reviews that took about two hours with agentic automation. The result is a predictable, repeatable process that completes a typical review in roughly fifteen minutes while removing the coordination burden that slowed teams down.
quote
“Reviews dropped from about two hours to around fifteen minutes. Without GenAI we reviewed by risk due to volume; with Clover, reviewing all documents becomes feasible.”
Because Clover does not get tired or context switched, the program scales with development. Lemonade can run many more reviews in the same window, moving from risk-based sampling toward broad coverage without adding human overhead, and keeping work flowing with less friction.
Visibility
From scattered signals to a single view of design risk
Clover turns design findings into measurable insight. Each review is tagged by service, control framework, severity, and status so teams can see which risks appear, how often they recur, and whether they were addressed. Because agentic reviewers apply the same standards every time, the data is consistent enough to quantify counts, types, and closure over time, giving leadership a clear picture of the design risk posture.
quote
“Secure by design is often treated as a buzz phrase, but tools like Clover help build security in before deployment. You still need production security, but better design reduces introduced vulnerabilities and exposure time.”
Business needs are captured through custom controls, including checks for sensitive data unique to Lemonade’s environment, so the view reflects real risk rather than generic rules. As consistent reviews feed this system, posture improves in a way that is both visible and verifiable.
next for lemonade
Keeping design promises in production
Lemonade's next steps are to expand Clover's automations to proactively review, verify, and enforce designs from spec to runtime. Ensuring that the product as delivered matches the product as designed. With Clover documents near completion will trigger reviews, identify risks accurately, and provide actionable remediation. Providing developers with approved patterns and code samples as they build directly in their tools of choice. Once code is written, Clover will compare specs to code to find gaps, verify deployed code matches the spec, and ensure later changes do not undo security requirements. Meaning faster launches with fewer late surprises and less rework for Lemonade.
Engineering and product teams are making critical security decisions daily, but security just can’t keep up. Too many product changes; too few security engineers to go around.
That was then. Let’s scale your ProdSec team.
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