For $5M–$100M e-commerce and industrial companies: autonomous AI systems that detect fraud, equipment failures, and operational threats in real time — resolving them without manual queues or human delay.
Free 30-min call · No pitch · No commitment required
High-volume signal ingestion & anomaly detection at scale
Autonomous agent cross-references context & history
Corrective action without human review queues
The Challenge
Fraud alerts, anomaly flags, and exceptions pile up faster than humans can process them — costing money and morale.
300+ daily alerts, 80% false positives. Teams have learned to ignore the noise — which means missing the signal that matters.
You find out about equipment failures when the equipment fails. Every unplanned outage costs multiples of what prevention would have.
The tools exist. The budget was approved. But without a leader who's built agentic systems, pilots never reach production.
Services
Every engagement starts with a structured assessment so you know exactly what you're investing in before any retainer begins.
Autonomous detection and decisioning systems that replace manual review queues with AI agents that investigate, decide, and act in real time.
Move from reactive maintenance and alert fatigue to AI-powered operational intelligence that predicts and prevents failures before they occur.
For SaaS and B2B companies carrying legacy debt and losing ground to AI-native competitors — a clear roadmap from where you are to where you need to be.
Pre-acquisition technology assessments for PE firms with IoT or e-commerce portfolio companies. Fast, structured, and calibrated to investment decisions.
Ongoing executive technology leadership — strategy, team oversight, AI implementation, vendor management, and board-level communication.
A structured 3-week diagnostic that maps your current state, identifies the highest-value AI opportunities, and delivers a prioritized implementation roadmap.
How It Works
A structured process designed to minimize your time investment while maximizing what gets learned and delivered quickly.
30 minutes to understand your context, primary pain points, and whether there's a fit worth exploring.
Operational Intelligence Assessment across 5 domains. Findings presented with a prioritized roadmap and quick wins.
Focused retainer executing the highest-value roadmap items with monthly progress reviews with leadership.
Ongoing fractional CTO partnership or transition to internal ownership — with documentation, training, and handoff support.
Results
Drawn from prior engagements at Amazon, Boeing, and Dedicated Computing — the same patterns applied to your scale.
Re-architected legacy fraud systems onto AWS with ML-based automation for risk and abuse prevention across millions of daily transactions.
Owned and led delivery of AWS IoT Analytics — low-latency, highly available managed services continuously monitoring equipment and triggering automated responses.
Led architecture reviews and modernization strategy for 40+ legacy on-premise applications, plus agentic AI automation in aviation data workflows.
Defined IoT managed services strategy, built the software org from scratch, and drove $7M EMEA expansion for a PE-backed hardware company.
Who We Work With
Best suited for companies where the core value proposition depends on operational reliability, transaction integrity, or connected systems at scale.
$10M–$100M GMV companies struggling with fraud, chargebacks, seller abuse, or manual review burdens that scale with revenue.
$25M–$150M manufacturers and managed services providers with connected equipment dealing with alert fatigue and first-generation IoT hitting its limits.
$10M–$50M ARR SaaS companies carrying legacy technical debt, losing engineering velocity to maintenance, and needing technology leadership to navigate AI transformation.
Private equity firms requiring pre-acquisition technical due diligence or post-acquisition technology leadership. The practice understands both the technology and the EBITDA lens — with direct experience inside PE-backed companies.
Engagement Models
Every engagement starts with a conversation. Most begin with an assessment.
About Stragentech
Stragentech is a specialized fractional CTO practice building autonomous operational intelligence systems for e-commerce, industrial, and SaaS companies. The practice draws on 25+ years of production experience building systems at Amazon, Boeing, and AWS — applied to the scale and urgency of growing businesses.
Work spans three core domains: fraud and abuse prevention, industrial IoT intelligence, and AI-led modernization for legacy-heavy businesses. Every engagement is structured around measurable outcomes, not deliverables that sit on a shelf.
A concise one-pager covering practice areas, engagement models, and prior results — designed for sharing with your leadership team or board.
Download 1-Pager (PDF) →What Others Say
"The team brings a rare ability to translate deeply complex technical architecture into business decisions the whole executive team can act on. They don't just tell you what's wrong — they tell you what it's costing you."
"What stood out was the ability to walk into a room with the COO, CFO, and engineering leads and hold each conversation simultaneously — speaking the right language to each person without losing any of them."
"The practice brings the structured thinking of systems built at Amazon scale, but adapted immediately to what a $30M company actually needs. The assessment alone was worth the engagement."
Insights
Practical frameworks for CEOs and operators navigating AI transformation without a full-time technology leader.
The architecture patterns behind $37M in fraud savings — and how to apply them at 1/100th the scale.
Alert fatigue isn't a people problem. It's an architecture problem. Here's the fix.
Lessons from taking 40+ legacy applications and a 30% compliance posture to 95% in 18 months.
Get In Touch
Every engagement begins with a free 30-minute discovery call. No pitch, no pressure — just a conversation to see if there's a fit worth exploring.