Workflow · workflow
Ramp acquires Jolt team to scale internal AI platform and developer productivity
Ramp's incremental AI investments — prompt engineering, caching, and autonomous agents — paid off individually, but the company now needs to reimagine foundational systems to support reliable AI at scale, requiring new architectures, guardrails, and eval frameworks.
How it works
Common implementation structure
How this type of workflow is generally built, generalized across documented cases — not tied to any one vendor's stack. Click any stage to read what happens there. Specific products that implement these stages appear in “Tools commonly seen” below.
Stage 1 · Prompt engineering reduces errors
Prompt engineering is applied to reduce error rates in Ramp's AI systems.
Outcome
The Jolt team will improve Ramp's core AI platform, supercharge the internal developer experience, and help engineers build products with AI at higher velocity.
Results
Volumereduce error rates
Cost replacedcost and latency
Running sincepast few years
Grounding & classification
Source type: press release
13 fields verified against source quotes.
agentic workflowcode generationcode diff prnamed customerproduction runtime claimedworkflow describedfinancial servicessoftwareemployee productivitypress releaseagentic task execution