25+
years in financial services
200+
AI Natives
500+
Transformations delivered
$3T+
Managed on Praxent-built tech
100+
Claude Certified Architects

Automate routine engineering work and scale your senior engineers’ [i]judgment[/i].

Automate routine engineering work and scale your senior engineers’ [i]judgment[/i].

Automate routine engineering work and scale your senior engineers’ [i]judgment[/i].

Automate routine engineering work and scale your senior engineers’ [i]judgment[/i].
Automate routine engineering work and scale your senior engineers’ [i]judgment[/i].
Engineers and tech leads

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

QA and test automation

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.

Product and feature delivery

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.

Security and compliance

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.

Engineering leadership

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.

When you’re AI native . . .

Your engineering organization ships quality products at scale, safely

We’ll get you there

AI-native engineering case study

How a core banking provider built [i]governed AI[/i] into its engineering.

How a core banking provider built [i]governed AI[/i] into its engineering.

How a core banking provider built [i]governed AI[/i] into its engineering.

How a core banking provider built [i]governed AI[/i] into its engineering.
How a core banking provider built [i]governed AI[/i] into its engineering.

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.

2x
Planned scope delivered
2.8x
Growth of engineers using AI
25
Pull requests across 4 repos
Where you start

See where your engineering team [i]stands[/i].

See where your engineering team [i]stands[/i].

See where your engineering team [i]stands[/i].

See where your engineering team [i]stands[/i].
See where your engineering team [i]stands[/i].

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.

Half a day

AI-Native Engineering Summit

AI-Native Engineering Summit

AI-Native Engineering Summit

AI-Native Engineering Summit
AI-Native Engineering Summit

What it produces

A map of how your team ships today and where work slows down
A hands-on Claude Code session on your actual codebase
A governance and security readiness review mapped to PraxentGuard
A prioritized transformation roadmap with team effort estimates
Our approach

How your engineering team becomes [i]AI native[/i].

How your engineering team becomes [i]AI native[/i].

How your engineering team becomes [i]AI native[/i].

How your engineering team becomes [i]AI native[/i].
How your engineering team becomes [i]AI native[/i].
3 to 8 weeks

[i]01[/i]

[i]01[/i]

[i]01[/i]

[i]01[/i]
[i]01[/i]

Activation: Fundamentals Fluency

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.

4 to 5 weeks per cycle

[i]02[/i]

[i]02[/i]

[i]02[/i]

[i]02[/i]
[i]02[/i]

Acceleration: Codify Skills

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.

2 to 3 months, then ongoing

[i]03[/i]

[i]03[/i]

[i]03[/i]

[i]03[/i]
[i]03[/i]

Expansion: Adopt and Measure

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.

Meet the

Meet the

Meet the

Meet the
Meet the
FORWARD DEPLOYED FINTECH ENGINEERS

To deliver hyper-customized workflows, Praxent embeds Forward-Deployed Fintech Engineers (FDEs). These are certified experts who combine

Elite AI Architects

Elite AI Architects

Elite AI Architects

Elite AI Architects
Elite AI Architects

AI-native engineers with hands-on experience around modern AI capabilities, governance, tokenomics, and rapid iteration to deliver results.

BFSI Expertise

BFSI Expertise

BFSI Expertise

BFSI Expertise
BFSI Expertise

Specialists who deeply understand regulated financial operations, fraud, compliance, and core processing systems.

Paul Tidwell
Nolan Egly
Matthew Wooley
Rico Callirgos
René López
Kara Konop
100+
more AI Natives
100+
more AI Natives
Paul Tidwell
Claude Certified Architect

“On a lending platform the model is rarely the hard part. The hard part is deciding which credit decisions a person still owns, and making that line clear to an examiner.”

Nolan Egly
Claude Certified Architect
Microsoft Azure AZ-305 Certified

“Most core banking code holds twenty years of business rules nobody wrote down. I pull those rules out and turn them into something an agent can follow and an auditor can read.”

Matthew Wooley
Claude Certified Architect
Microsoft Azure Certified

“A pilot runs on clean sample data. Production runs on real customer files with missing fields and edge cases, and that’s where I spend my time.”

Rico Callirgos
Claude Certified Architect
AZ-305 Solutions Architect Expert

“Before I design anything, I sit with the people doing the work. In servicing and collections, the real process is usually a few steps longer than the documented one.”

René López
Claude Certified Architect
Microsoft Azure Certified

“Every model output in a regulated workflow needs a trail: what data it used, which version ran, who approved it. I build that in from the first sprint.”

Kara Konop
Claude Certified Architect
Microsoft Azure Certified

“I judge an engagement by what happens after I leave. If your team can extend what we built without calling us, it went well.”

We build your regulatory standards into Claude Code for [i]faster, safer releases[/i].

We build your regulatory standards into Claude Code for [i]faster, safer releases[/i].

We build your regulatory standards into Claude Code for [i]faster, safer releases[/i].

We build your regulatory standards into Claude Code for [i]faster, safer releases[/i].
We build your regulatory standards into Claude Code for [i]faster, safer releases[/i].

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.

AI-Native Engineering in Banking →
AI-Native Engineering in Lending →
AI-Native Engineering in Payments →
AI-Native Engineering in Investing →
AI-Native Engineering in Insurance →
AI-Native Engineering in Health Benefits and PBM →

PraxentGuard℠ runs 29 security checks that protect your data, code, and credentials.

See How This Works →
OWASP LLM Top 10
SOC 2 alignment
AI Business Transformation

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].

Become an AI-native market leader by transforming your [i]full stack[/i].
Become an AI-native market leader by transforming your [i]full stack[/i].
Governed engineering workflows become the pipeline for your production agents.
01
Digital Experience

Customers state what they want and an agent does the work.

02
Cowork

Your teams run codified procedures at AI-native speed.

03
Agents

Governed agents take over your routine financial operations.

04
Data

The AI context your people and your agents both work from.

05
Platform

Advanced AI demands modern architecture and rapid engineering.