Praxent

Cloud and platform

Cloud and DevOps — Cloud Strategy, FinOps, and DevSecOps

Delivers cloud strategy and implementation, FinOps, and DevSecOps across AWS, Azure, and Google Cloud for financial services firms.

AI and ML

AI Command — Governed AI Agents in Production for Financial Services

Praxent helps financial services firms achieve 'AI Command' through a three-phase framework (Decode, Activate, Compound) that extracts legacy financial logic, deploys governed agentic AI inside regulated operations, and continuously innovates. Built on Anthropic Claude models with SOC 2 Type II compliance.

Product engineering

Digital Products — Designing and Building New Financial Products

Transforms concepts into reality by designing and building new financial products with specialization in digital experience, speed to market, and foundational architecture.

Product engineering

Enterprise Systems — Legacy Modernization and Engineering Productivity

Transforms legacy systems and maximizes engineering productivity with a focus on human-centered redesigns, systems integration, DevSecOps, and cloud infrastructure.

Design and experience

UX Strategy and Design — Human-Centered Financial Experiences

Provides end-to-end UX strategy and design services including roadmapping, design thinking workshops, customer research, wireframes, high-fidelity design, clickable prototypes, and design systems tailored to financial services.

Advisory and strategy

CanDone.os — Technology Operating Model for Engineering Teams

An operating model to enhance the performance of engineering teams, increasing on-time delivery and reducing rework. Includes agile transformation and CAN/DO cultural practices tracked weekly.

Product engineering

Fintech Talent — Staff Augmentation with US and LATAM Engineers

Augments client teams with US and LATAM-based talent hand-selected for their blend of financial services experience, technical expertise, and CAN/DO values. All team members operate in the Central Time Zone.

Data and analytics

Data Strategy and Architecture

Provides data strategy, architecture design, and implementation for financial services firms, including data lake and BI implementations.

AI-Accelerated Legacy Modernization service/framework that extracts and preserves the financial logic trapped in legacy platforms, rebuilding on modern architecture with full traceability from old system to new. Extracted 700+ financial requirements, 150+ SME clarification questions, and 1000+ inter-file dependencies from a legacy payments codebase.

Our assessment: Productized phase-one service with named methodology, case study proof, and quantified outputs — the most substantive IP on the site.

Fintech Agents In Production — designs and deploys production-ready agentic features inside governed frameworks built for regulated environments. Case study: enterprise payroll provider automated client onboarding with intelligent document processing agents.

Our assessment: Branded, productized phase with a named case study and clear regulated-environment framing — substantive and differentiated.

Continuous AI Innovation service — dedicated product pods that relentlessly improve chosen KPIs by continuously deploying leading-edge AI. Case study: cut underwriting effort 67% and compressed time-to-fund from 6 months to 30 days for an SMB lender.

Our assessment: Productized phase three with strong outcome metrics; reads as a retained-team model wrapped in AI delivery — credible and outcome-oriented.

The overarching three-phase framework (Decode, Activate, Compound) for transforming financial services firms into AI-native leaders. Positions AI as embedded in platforms — powering underwriting, compliance, claims, and personalization — governed, auditable, and delivering measurable ROI.

Our assessment: High-level brand wrapper for the three-phase methodology; substantive as a strategic positioning construct but dependent on the three sub-frameworks for proof.

A technology operating model to enhance the performance of engineering teams, increasing on-time delivery and reducing rework. Covers agile transformation and CAN/DO cultural practices with weekly sprint commitment tracking.

Our assessment: Branded operating model with cultural and process depth, but limited public detail on tooling or methodology specifics.

A scoping deliverable that maps business logic density, undocumented rules, compliance-critical workflows, integration dependencies, and modernization priorities inside a client's current system. Positioned as the first step toward AI Command.

Our assessment: Mentioned as a lead-gen offer on the homepage; insufficient public detail to assess depth beyond its description.