Hardening Enterprise RAG Workflows for Safer AI Adoption

Challenge

Enterprise teams wanted to ship AI copilots fast, but had no practical guardrails for indirect prompt injection, data leakage, and policy violations across CRM-heavy workflows.

Approach

• • Defined the MVP around the highest-risk customer path: retrieval + response generation in CRM use cases.
• • Partnered with engineering to prioritize real-time middleware checks over heavyweight post-processing.
• • Designed measurable trust signals for buyers: detection coverage, false-positive rate, and time-to-remediation.
• • Mapped product packaging to security and platform buyers to tighten go-to-market positioning.

Outcome

• • Established a clear product narrative that connected model risk to business impact for non-technical buyers.
• • Delivered a focused v1 scope that reduced implementation complexity for pilot customers.
• • Created a repeatable discovery framework now used to prioritize new integration opportunities.

Skills Demonstrated