The prototyping tax is killing your AI roadmap
Platform-native agents grounded in business semantics—like Databricks Genie plus Unity Catalog—eliminate the "prototyping tax" of fragmented context and siloed domain knowledge, hitting 77% accuracy versus 56–72% for general coding agents at roughly half the cost. Abacus Insights proved the approach even in regulated settings, cutting new-client onboarding time by about 50% and manual data-mapping effort by 40% inside a HIPAA-grade environment.
* The "prototyping tax", fragmented context, siloed domain knowledge, and API boundaries, stalls AI initiatives between idea and working prototype, killing momentum before teams can ship. * Platform-native agents grounded in business semantics (like Databricks Genie + Unity Catalog) eliminate the tax by giving agents governed context from the start achieving 77% accuracy vs. 56–72% for general coding agents at roughly half the cost. * Abacus Insights cut new-client onboarding time by ~50% and reduced manual data-mapping effort by 40% by deploying agentic data engineering inside their HIPAA-grade environment, proving the approach works even in heavily regulated industries.