AI Systems Orchestrator & Architect
Stop Managing
Workflows by Hand.
Fixed-scope AI automations with measurable ROI in 10–30 days. No black boxes.
The Problem
Your team is drowning in manual opsAI should be handling.
Slow Lead Response
Hours pass before leads get a reply. By then, they've moved on.
Manual Copy-Paste Hell
Your team juggles 5+ tools, moving data by hand. Errors pile up.
Generic AI That Breaks
You tried Zapier or ChatGPT. It works for a week, then fails silently.
I design, build, and monitor end-to-end AI workflows that actually work — with guardrails, eval sets, and weekly ROI reporting.
Services
How I Work
Three engagement levels. Fixed scope. Measurable outcomes.
Workflow Quick Win
Test AI before committing.
What's included:
- 1 high-impact workflow identified + automated
- Basic logging & monitoring setup
- Weekly ops brief (Loom + written)
- Full handoff documentation
Best for: Teams wanting to validate AI ROI before a larger commitment.
AI Ops Sprint
Two workflows. Measured ROI. 30 days.
What's included:
- 2 connected automations + eval sets
- Response time / conversion measurement
- Weekly review + improvement plan
- Decision point: iterate or scale to retainer
Best for: Teams ready to systematize ops with structured testing.
AI Ops Partner
Ongoing orchestration, monitoring, and scaling.
What's included:
- 3–5 integrated pipelines
- Eval sets + regression testing
- Error monitoring + alerts (Sentry)
- Runbooks + monthly optimization
- Quarterly strategy reviews
Best for: Teams with multi-department workflow complexity.
All engagements include full documentation and handoff. Not sure which tier? Book a free 15-min diagnosis call →
Fit Check
Is This Right For You?
The clearer you are about your problem, the faster we can solve it.
This is for you if…
- You have a sales or ops team spending 5+ hrs/week on tasks that feel repetitive and predictable
- You've tried Zapier or ChatGPT and it half-worked, broke, or your team stopped trusting it
- You want a working system with documentation — not a demo that needs babysitting
- Budget: $750–$10k for a defined scope with a clear deliverable
- You can describe at least one painful manual workflow in a 15-minute call
This is not a fit if…
- You want hourly consulting with no defined deliverable
- You need a full engineering team — I work in focused, fixed scopes as a solo operator
- You can't identify a specific manual workflow problem (yet)
- You're looking for general AI strategy advice rather than production automation
Teams I commonly work with
Process
The Orchestration Process
From workflow diagnosis to monitored, production-ready automation.
Diagnose
Map your highest-pain manual workflows. Identify time cost, error rate, and automation feasibility. Deliver a written workflow audit.
Design
Architect the automation graph: triggers, tool calls, fallbacks, and guardrails. Define eval criteria before a single line of code is written.
Build
Implement with production-grade tooling: n8n for visual workflows, LangGraph for stateful agents, structured outputs, and error monitoring from day one.
Deploy & Measure
Go live with CI/CD pipeline. Establish baseline metrics: response time, throughput, error rate, conversion delta.
Monitor & Iterate
Weekly ops brief. Eval set regression checks. Model/tool updates. Continuous improvement on retainer.
Every workflow ships with eval sets, monitoring, and a runbook. No black boxes.
Production-grade AI infrastructure — not no-code patches
Track Record
What Gets Built. What Actually Changes.
Selected engagements. Real workflows. Measurable outcomes.
Enterprise Airport Operations · BCG Engagement
Senior AI Systems Engineer
The Problem
Airport ops team spending 15+ hrs/week manually routing incident tickets and coordinating shift handoffs across legacy systems.
What I Built
LangGraph-based incident triage agent + n8n automation connecting 4 operational systems. Structured outputs for consistent routing logic.
Result
~65% reduction in manual dispatch time. Deployed in under 4 weeks. Runs with zero-touch monitoring.
Fortune 500 Financial Services · McKinsey Engagement
GenAI Solutions Architect
The Problem
Analyst teams spending 3+ days per engagement manually reviewing and extracting structured data from thousands of documents.
What I Built
Multi-agent document processing pipeline with LangGraph + OpenAI structured outputs. Eval sets established from day one. Processing 10k+ documents/month.
Result
Review time cut from 3 days to under 4 hours per engagement. Measurable analyst capacity freed for higher-value work.
Higher Education Platform · EPI-USE
Full-Stack Platform Engineer
The Problem
University admissions teams managing student enrollment and reporting through disconnected spreadsheets and manual data entry — 20+ hours/week of preventable work.
What I Built
Automated enrollment + reporting workflows serving 15k+ users. Event-driven architecture with full audit logging. CI/CD from day one.
Result
99.9% uptime across 6 years. Eliminated 20+ hrs/week of manual data entry. Scaled to handle 3× peak load without intervention.
FAQ
Common Questions
The things buyers always ask before booking a call. Answered upfront.
Still have a specific question?
Book a Free Diagnosis Call →About
Built by an engineer. Scoped for operators.
I'm Pieter Le Roux — I design, build, and monitor end-to-end AI workflow systems for professional services teams and sales-led SMBs. Every engagement is fixed-scope, fully documented, and ships with monitoring built in from day one. Based in Austin, TX. Available worldwide.
Contact
Get a Free Workflow Diagnosis
15 minutes. I'll identify your highest-ROI automation opportunity and tell you exactly what it would take to build it.
Book a 15-Min Diagnosis Call
No commitment. I'll audit one of your manual workflows live and give you a concrete automation estimate — scope, timeline, and expected ROI.
What to expect:
- Your highest-pain workflow mapped in real time
- Automation feasibility assessment
- Recommended tier (Quick Win / Sprint / Partner)
- Concrete estimate: timeline, deliverables, price range
Prefer to reach out directly?
I respond to every email personally, usually within a few hours during business days.
Pieter Le Roux
AI Systems Orchestrator & Architect · Austin, TX
You get me on every project — not a junior account manager. 10+ years engineering, 40+ automations shipped, every one with monitoring and documentation built in.
“The call is genuinely free and genuinely useful. You'll leave with a clear picture of what automation is possible and what it's worth — even if we don't end up working together.”
— Pieter Le Roux
We'd tried building this in Zapier twice. Both times it broke within a month. Pieter shipped a LangGraph pipeline in three weeks that's been running clean for six months. We recovered about 8 hours a week in manual follow-up work.
Director of Operations
18-person legal advisory firm
What stood out was that he measured everything from the start. Before we even built anything, we established a baseline. After 30 days I had an actual number to show leadership — not a vague 'it's better now.'
Head of Revenue Operations
Series A SaaS startup
Client names anonymized by request. Results from real engagements.