Praxent turns your Claude Code licenses into governed, AI-native engineering, with a custom harness that holds every change to your architecture and regulatory standards.


Claude Code writes the boilerplate and documentation, so your engineers spend their days on business logic, architecture, edge cases, and your next product.

Tests come straight from your own specifications and grow with every feature, so your QA engineers focus on the scenarios that nobody has thought about.

With work now built to your standards, there's less rework and review, so stories close sooner and your product managers see features ship in weeks.

Deny rules, allowlists, and audit trails live inside your workflows, so your security owner only needs to approve a scope once instead of ticket-by-ticket.

Adoption, spend, quality, and throughput sit in one view against a baseline that’s set before rollout, so you can measure ROI and show the board what changed.

DCI wanted to use AI to modernize its 30-year-old banking platform, but only with bank-grade governance, no data leaving its environment, and using a process its own engineers could run. Praxent built an on-premise AI workflow in which every change cites a business rule and requires positive test results and an engineer's approval to merge. DCI's engineers now run it themselves.

Your engineering leaders and our forward-deployed fintech engineers review how your team ships, then run Claude Code on your own codebase and check your security readiness.
What it produces
Your pilot team learns to direct and verify Claude Code on their own backlog, measured against a baseline set before day one and inside permissions that your security team helped design.
Your flagship workflows go live on PraxentHarness, your team runs it a full week without us, and your sponsor decides on expansion with the evidence in hand.
Governed and automated workflows connect your teams across the organization, cutting the wait between them, so more engineering time goes towards customer value and new products.
To deliver hyper-customized workflows, Praxent embeds Forward-Deployed Fintech Engineers (FDEs). These are certified experts who combine
AI-native engineers with hands-on experience around modern AI capabilities, governance, tokenomics, and rapid iteration to deliver results.
Specialists who deeply understand regulated financial operations, fraud, compliance, and core processing systems.
Our forward-deployed fintech engineers and your team write your regulatory and architecture rules into every task then adapt your code review for AI output. You stay compliant while shipping faster.