Four Specialists. Full Lifecycle.
Stack-Labs is a lightweight four-specialist AI systems and automation team delivering end-to-end agentic solutions for government, enterprise, and regulated industry environments. Built to move fast with advanced technology — no overhead, no coordination drag, no bloated timelines. Stack-Labs takes engagements from concept to production independently, covering the full lifecycle from BD and stakeholder alignment through secure architecture, compliance documentation, and audit-ready program controls.
Meet the Specialists
No generalist gaps, no single points of failure. Four specialists, one complete engagement lifecycle.
Emiel Madonna
AI Systems Architect
Automation Engineer · Technical Advisor
AI Systems Architect and Automation Engineer operating across the full delivery spectrum — from executive stakeholder alignment through production deployment. Specializes in agentic workflow development, LLM-driven automation, RAG-based retrieval, conversational AI, and compliance-aligned platform design. Equally fluent in C-suite business language and engineering execution: translates AI strategy for non-technical executives while simultaneously directing technical teams on architecture. Delivers enterprise-grade AI systems independently — concept to production without handoff delays. Track record includes systems driving $170K+ in fundraising, saving 10+ hours/week per user, and prompting full executive-level organizational direction changes.
Parker Boynton
AI Systems Architect
Project Manager · Federal Procurement Specialist
AI Systems Architect and Project Manager specializing in secure, automated, agentic workflow systems for enterprise and federal environments. Expertise in LLM-driven application development, secure data architecture, process automation, and compliance-aligned system design. Proven record of deploying production-grade AI agents supporting federal procurement, financial operations, contract analysis, and organizational performance management across regulated and government-adjacent environments.
Andrew Aiona
AI Systems Product Lead
Automation Engineer · Operations & Growth Strategist
AI systems product lead and automation engineer with a track record of designing, launching, and scaling production software in high-velocity environments. Proven ability to translate ambiguous goals into measurable KPIs, clear requirements, and durable systems — spanning workflow automation, dashboards, CRM pipelines, and agent-assisted operations. Strong stakeholder communicator experienced in aligning executives, operators, and engineers on scope, rollout, and adoption. Scaled and operated a production AI application serving 200,000 users, demonstrating reliability, performance, and operational maturity at real-world production scale.
Dominic Bal
Program Controls Lead
Quality Assurance & Risk Management · Mobile Application Engineer
Program Controls Lead and Mobile Application Engineer with a track record of managing deliverables, budgets, risk, and documentation across concurrent high-velocity workstreams. Specializes in program scheduling and milestone tracking, cost-volume analysis, contract and legal review, subcontractor management, QA, and configuration management — keeping projects on scope, on budget, and audit-ready throughout the delivery lifecycle. Finance-trained with applied experience in cost modeling, unit economics, and BOE development applicable to proposal pricing and LPTA/best-value evaluations. Co-built a production AI platform at 200,000-user scale while simultaneously managing cost controls, legal coordination, subcontractor operations, platform compliance, and QA across iOS, Android, and web.
Problems We Solve
Common blockers we eliminate for government, enterprise, and regulated-industry clients.
AI Adoption Friction
Clients need a partner who speaks both C-suite and engineering — no separate strategy and implementation vendors.
Slow Delivery Timelines
Large integrators take months to scope what Stack-Labs ships in weeks — lean, high-output, no handoff chains.
Manual Workflow Overhead
Staff hours lost to repetitive processes — Stack-Labs automates full pipelines end-to-end.
Compliance-Ready AI
FISMA, NIST 800-53, SOC 2, HIPAA, FAR — designed in from day one, not bolted on after.
Data Privacy Blockers
Sensitive data can't leave the environment — Stack-Labs deploys local and self-hosted LLMs on controlled infrastructure.
Program Controls Gaps
Primes need subcontractors with BOE, milestone tracking, QA, and audit-ready docs — Stack-Labs delivers all of it.
Why Stack-Labs
A four-specialist unit built to win contracts, architect secure solutions, and ship production code — independently.
Full-Cycle Coverage
BD & capture → executive advisory → architecture → production → compliance → audit-ready controls. No handoffs, no gaps.
Four-Specialist Model
No generalist gaps, no single points of failure. Four specialists, one complete engagement lifecycle.
Production Scale Credibility
AI systems deployed and operated at 200,000-user scale — real reliability, not demo-ware.
Federal Procurement Fluency
FAR documentation, SAM.gov / SLED integration, FISMA / NIST 800-53 — applied in practice.
Speed & Lightweight Delivery
Concept to production without extended dependencies, handoff chains, or coordination overhead.
Regulated Industry Experience
SOC 2, HIPAA, P22, GAAP — applied across real estate, property management, insurance, and gov-adjacent work.
Privacy-Preserving AI
Local and self-hosted LLM deployment — sensitive data stays in controlled environments.
Technical Translation
Aligns C-suite on ROI while directing IT teams on implementation — in the same engagement.
Program Controls & QA
Milestone tracking, BOE development, cost-volume analysis, QA, and config management built in.
Subcontractor & Vendor Ops
50+ contractor program management with SLA tracking, auditable payment admin, and compliance records.
Team Coverage Matrix
✓ indicates primary ownership or proven delivery experience in each capability area.
Agentic Workflow Design & Automation
LLM Prompt Engineering & System Architecture
Executive AI Advisory (C-Suite to IT Translation)
AI Product Strategy & Roadmapping (0→1)
Federal Procurement & SAM.gov / FAR Alignment
Program Controls, Scheduling & Milestone Tracking
Cost Analysis, BOE Development & Budget Forecasting
Quality Assurance & Acceptance Testing
Configuration Management & Document Governance
Subcontractor Mgmt & Contract Administration
Risk Management & Risk Register Maintenance
Conversational AI & Chatbot Development
Voice AI & RAG-Based Retrieval Systems
Multi-Channel Campaign Automation
AI-Powered CRM Design & Lead Pipeline Management
Secure API & Backend Development
Database Architecture & Security (RBAC, Encryption)
Privacy-Preserving / Local LLM Deployment
Production Systems Scaling & Operational Stability
Analytics Dashboards & KPI Reporting Frameworks
AI-Assisted Contract & Document Analysis
Compliance: SOC 2 / HIPAA / P22
Compliance: FISMA / NIST 800-53 / SOC 2 Principles
Compliance: GAAP & Audit Traceability
Solo Full-Stack Delivery & Independent Workstreams
Process Optimization & Systems Integration
CI/CD Pipelines & DevOps (Docker, AWS, Azure)
UX Design & Human Factors / 508 Accessibility
Vendor Evaluation, SOP Design & Change Management
AI Strategy Consulting & Business Integration
Growth Systems, BD & Stakeholder Enablement
Mobile App Dev (iOS Swift / Android Kotlin)
| Capability Area | EM Madonna | PB Boynton | AA Aiona | DB Bal |
|---|---|---|---|---|
| Agentic Workflow Design & Automation | ||||
| LLM Prompt Engineering & System Architecture | ||||
| Executive AI Advisory (C-Suite to IT Translation) | ||||
| AI Product Strategy & Roadmapping (0→1) | ||||
| Federal Procurement & SAM.gov / FAR Alignment | ||||
| Program Controls, Scheduling & Milestone Tracking | ||||
| Cost Analysis, BOE Development & Budget Forecasting | ||||
| Quality Assurance & Acceptance Testing | ||||
| Configuration Management & Document Governance | ||||
| Subcontractor Mgmt & Contract Administration | ||||
| Risk Management & Risk Register Maintenance | ||||
| Conversational AI & Chatbot Development | ||||
| Voice AI & RAG-Based Retrieval Systems | ||||
| Multi-Channel Campaign Automation | ||||
| AI-Powered CRM Design & Lead Pipeline Management | ||||
| Secure API & Backend Development | ||||
| Database Architecture & Security (RBAC, Encryption) | ||||
| Privacy-Preserving / Local LLM Deployment | ||||
| Production Systems Scaling & Operational Stability | ||||
| Analytics Dashboards & KPI Reporting Frameworks | ||||
| AI-Assisted Contract & Document Analysis | ||||
| Compliance: SOC 2 / HIPAA / P22 | ||||
| Compliance: FISMA / NIST 800-53 / SOC 2 Principles | ||||
| Compliance: GAAP & Audit Traceability | ||||
| Solo Full-Stack Delivery & Independent Workstreams | ||||
| Process Optimization & Systems Integration | ||||
| CI/CD Pipelines & DevOps (Docker, AWS, Azure) | ||||
| UX Design & Human Factors / 508 Accessibility | ||||
| Vendor Evaluation, SOP Design & Change Management | ||||
| AI Strategy Consulting & Business Integration | ||||
| Growth Systems, BD & Stakeholder Enablement | ||||
| Mobile App Dev (iOS Swift / Android Kotlin) |
Combined Technical Skills
The full technical toolkit across all four specialists.
Languages
Frameworks
AI / ML
Automation
Voice AI
Mobile
Cloud & DevOps
Databases
Security
Compliance
Program Controls
Product & Ops
UX & Design
Business Information & NAICS
Stack-Labs
AI Systems & Automation
Emiel Madonna — Founder & AI Systems Architect
emiel@useoutreachpilot.com · 206.409.9185
stack-labs.ai
Ready to Work Together?
Download our complete capabilities document or schedule a capability briefing with the team.