About Me
I design and build correctness-first financial infrastructure for regulated domains, where statutory requirements, operational execution, and real-world risk intersect. I am the Founder and Systems Architect at LeanLogic Systems, LLC, and the builder of LeanBuild™ — a compliance correctness layer for construction payments. My work focuses on isolating statutory correctness from workflow execution, enabling payment decisions to be validated, explained, and documented before funds are released, without displacing human judgment or existing systems. LeanBuild exists because deep compliance validation carries liability that workflow platforms cannot economically absorb. I design systems that surface uncertainty explicitly, preserve invariants under real-world conditions, and produce audit-ready evidence rather than opaque automation. Current work is centered on production systems, live market validation, and partner integrations — not public demos.
I am most interested in conversations with workflow platform builders, construction lenders, and fintech infrastructure partners working in liability-constrained environments.
Founder & Systems Architect
Designing correctness infrastructure that improves control, reduces risk, and supports defensible financial decisions in regulated environments.
- Website: https://mlbeau.github.io
- Location: Knoxville, Tennessee
- Email: michael@leanbuild.ai
My background is rooted in regulated financial and operational systems. Current work is focused on production infrastructure, live market validation, and partner integrations — not public demos.
Systems & Platform Skills
Capabilities used to design correctness-first financial infrastructure in regulated, liability-constrained environments.
Python
Deterministic validation logic, statutory rule engines, and evidence-generation workflows for compliance-critical systems.
SQL
Designing audit-ready data models that preserve payment history, validation outcomes, and decision context under regulatory scrutiny.
API Architecture
API-first system design for correctness layers that integrate safely with accounting systems, workflow platforms, and financial infrastructure.
QuickBooks API
Read-only and controlled-write integrations for payment context, invoice state, and reconciliation — without embedding business logic in accounting systems.
Embedded Finance
Designing liability-aware payment flows, including ACH, escrow-adjacent disbursements, and milestone-based release with auditability.
Correctness Infrastructure
Designing invariant-preserving systems that validate, explain, and document compliance before financial actions are taken.
Resume
View Background & Experience (PDF)This document provides background on my professional experience prior to founding and building LeanBuild. It reflects a career spanning systems architecture, financial data platforms, and applied analytics across regulated and operationally complex industries. My current work is focused on production-grade correctness infrastructure and live market validation of LeanBuild.
Summary
Founder & Systems Architect, LeanBuild — Construction Payment Correctness Infrastructure
Michael Beauchamp
Founder and systems architect specializing in correctness-first financial infrastructure for regulated and liability-constrained environments. I design systems that sit between workflows and risk, where statutory requirements, financial operations, and real-world execution must remain aligned. My background spans analytics, data engineering, and platform architecture across regulated and operationally complex industries. My current work focuses on isolating statutory and financial correctness from workflow execution — enabling payment decisions to be validated, explained, and documented before funds are released, without displacing human judgment or existing systems.
- Knoxville, TN
- michael@leanbuild.ai
Education
Certificate, Applied Data Science
July 2023
MIT Professional Education, Boston, MA
Master of Science in Predictive Analytics
2013 - 2016
Northwestern University, Evanston, IL
Bachelor of Science in Mathematics
Northeastern State University, Tahlequah, OK
Professional Experience
Senior Analyst, Supply Chain Intelligence
2011 – 2025
Carrier Corporation, Indianapolis, IN
- Designed and implemented API-integrated data platforms for executive reporting and operations.
- Developed scalable ETL frameworks in SQL and Python for high-volume transaction pipelines.
- Applied predictive models for forecasting and optimization in global supply workflows.
- Led cross-functional platform redesigns that later informed fintech and embedded finance architecture decisions.
Data Engineer, Healthcare Analytics
2011
UnitedHealth Group – Optum, Franklin, TN
- Built classification systems to identify fraud, saving over $2M in improper claims.
- Delivered automated pipelines and usage pattern detection for Medicaid data warehouses.
Data Engineer, Supply Chain Analytics
2008 – 2009
MRC Global, Tulsa, OK
- Engineered web-based analytics tools for inventory and logistics optimization.
- Used R and SQL to support statistical modeling and anomaly detection systems.
Selected Technical Work (Archive)
This archive includes selected analytical projects from earlier stages of my career. They illustrate foundational experience in quantitative modeling and systems thinking that informed later work in platform architecture and financial systems.
Current Focus
My current work is focused on building LeanBuild, a correctness infrastructure layer for construction payments that operates at the point of payment review — before funds are released. LeanBuild isolates statutory and financial correctness from workflow execution, enabling lien waiver and payment documentation to be validated, explained, and audited without displacing existing accounting systems, workflow platforms, or human judgment.
Correctness Infrastructure & API Design
Designing modular, API-first systems that surface statutory and operational constraints at execution time. Focused on validation layers, confidence-bounded outputs, and integration patterns that complement — rather than replace — existing platforms.
Statutory Validation & Rule Engines
Implementing deterministic, state-specific lien waiver validation logic with explicit uncertainty handling, statutory citation mapping, and correction guidance suitable for regulated, liability-sensitive environments.
Workflow-Adjacent Integration
Integrating with accounting systems and construction workflow platforms to receive documents and events for validation, without embedding business logic or decision authority inside partner systems.
Auditability & Evidence Preservation
Designing data models and validation pipelines that preserve evidence, context, and decision rationale, supporting defensible payment records and downstream review.
Execution-Stage Risk Visibility
Developing analytics that surface degradation patterns, exceptions, and coordination risks at payment review — enabling monitoring and early signal detection rather than enforcement or control.
Founder-to-Founder Advisory
Advising founders and technical leaders building regulated or liability-constrained systems on correctness-first architecture, integration boundaries, and early design decisions that reduce long-term risk.