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technologyreview.com·2h ago
Cloud & Infrastructure
The New Stack·Jun 10·5 min read
Ramp bets forward deployed engineers can do what off-the-shelf finance AI can’t
TL;DR
Many finance teams struggle with the limitations of off-the-shelf AI tools, which often lack customization for specific needs. Ramp has developed a solution by deploying engineers directly within client teams to create tailored financial AI applications.
✦ Why It Matters
Engineers can leverage embedded teams to create customized AI solutions that better meet client needs in finance.
Key Takeaways
- Explore embedding engineers within client organizations for tailored solutions.
- Assess the limitations of standard finance AI in your operations.
- Foster stronger client relationships through personalized service.
- Evaluate the potential for increased client satisfaction with customized approaches.
Full Summary
Ramp is betting on the effectiveness of forward-deployed engineers—professionals embedded within client organizations—to deliver customized financial solutions that off-the-shelf AI tools cannot provide. Traditional finance AI often lacks the flexibility and contextual understanding needed to address specific client needs.
By placing engineers directly in the field, Ramp can leverage their expertise to develop solutions that are not only more relevant but also more responsive to real-time challenges faced by clients. This model allows for a deeper understanding of client operations and fosters stronger relationships.
The initiative reflects a growing trend in the tech industry where personalized service is prioritized over generic automated solutions, potentially leading to better client satisfaction and retention.