Operational Intelligence Redefined

The Signals Are There.
Is Anyone Acting
on Them?

Stragentech's approach is grounded in fraud prevention systems built at Amazon — processing millions of daily decisions with minimal human review — and in modernizing 40+ legacy systems at Boeing before any AI work could begin. The sequence is deliberate: derisk the platform, unclog the decision bottlenecks, then scale autonomous action. That's the expertise Stragentech brings to industrial operations for $5M–$150M SMBs.

Free 30-min call · No commitment required

ops-agent · stragentech
$ agent.detect("equipment_signals")
✓ 1,247 signals ingested · 3 anomalies flagged
→ Motor bearing #7 | vibration +340% above baseline
$ agent.investigate(anomaly_id=7)
✓ 847 history points cross-referenced
→ Root cause: Bearing wear · Est. failure in 72h
$ agent.act(action="schedule_maintenance")
✓ Work order WO-9847 created
✓ Parts ordered · ETA 6h
✓ Crew scheduled: 2026-07-23 06:00
autonomous · 0 human reviews · 4.2s end-to-end

Your operations are generating signals. Nobody's acting on them.

📋

Manual review queues drowning your team

Equipment alerts, maintenance flags, and operational exceptions pile up faster than humans can process them — costing uptime and morale.

🔔

Alert fatigue killing response quality

300+ daily alerts, 80% false positives. Teams have learned to ignore the noise — which means missing the signal that matters.

🔧

Reactive maintenance eating profitability

You find out about equipment failures when the equipment fails. Every unplanned outage costs multiples of what prevention would have.

🤖

AI initiatives stalling without leadership

The tools exist. The budget was approved. But without a leader who's built agentic systems, pilots never reach production.

Built for companies where operations are the business

Best suited for companies where the core value proposition depends on operational reliability, transaction integrity, or connected systems at scale.

🏭

Industrial Manufacturers & MSPs

$25M–$150M manufacturers and managed services providers with connected equipment dealing with alert fatigue and first-generation IoT hitting its limits.

Predictive MaintenanceIoT ModernizationField Service Ops
💼

B2B SaaS & Platform Companies

$10M–$50M ARR SaaS companies carrying legacy technical debt, losing engineering velocity to maintenance, and needing technology leadership to navigate AI transformation.

ModernizationAI StrategyEngineering Ops
📈

PE Firms with IoT or Industrial Portfolio Companies

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.

Technical Due DiligencePost-Acquisition IntegrationValue CreationEBITDA Impact

Outcomes that show up in the business

Drawn from prior engagements at Amazon, Boeing, and Dedicated Computing — the same patterns applied to your scale.

AWS IoT Analytics · Industrial Platform

Managed IoT Services Platform

Owned and led delivery of AWS IoT Analytics — low-latency, highly available managed services continuously monitoring equipment and triggering automated responses.

5-9s
Availability
10x
Team scale built
Boeing / Jeppesen Foreflight · Modernization

Legacy Modernization & AI Automation

Led architecture reviews and modernization strategy for 40+ legacy on-premise applications, plus agentic AI automation in complex aviation data processing workflows.

95%
Compliance (from 30%)
85%
CVE reduction in 6mo
Dedicated Computing · PE-backed CTO

IoT Strategy & Managed Services Build

Defined IoT managed services strategy, built the software org from scratch, and drove $7M EMEA expansion for a PE-backed hardware company.

$7M
EMEA revenue
85%+
On-time delivery (from <50%)

From first call to first results in 60 days

A structured process designed to minimize your time investment while maximizing what gets learned and delivered quickly.

1
Week 1

Discovery Call

30 minutes to understand your context, primary pain points, and whether there's a fit worth exploring.

2
Weeks 1–3

Assessment

Operational Intelligence Assessment across 5 domains. Findings presented with a prioritized roadmap and quick wins.

3
Weeks 4–12

Implementation

Focused retainer executing the highest-value roadmap items with monthly progress reviews with leadership.

4
Ongoing

Scale & Sustain

Ongoing fractional CTO partnership or transition to internal ownership — with documentation, training, and handoff support.

Agentic Technology Partners

Stragentech is a specialized fractional CTO practice building autonomous operational intelligence systems for industrial manufacturers, managed services providers, and B2B SaaS companies. The practice draws on 25+ years of production experience at Boeing, AWS IoT, and Dedicated Computing — applied to the scale and urgency of growing businesses.

Work spans two core domains: industrial IoT intelligence and AI-led modernization for operations-heavy businesses. Every engagement is structured around measurable outcomes — uptime gained, cost eliminated, and manual processes retired.

Part of the CTOx Network
Member of CTOx.com — a vetted network of 220+ fractional CTO operators, providing access to specialized expertise when engagements require it
Seattle, WA · Available remote nationwide
Operational Intelligence Redefined

Download 1-Pager (PDF) →

Thinking on operations, AI, and scale

Practical frameworks for CEOs and operators navigating AI transformation without a full-time technology leader.

Discover What's Possible in 60 Days.

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.

✉️
Email
info@stragentech.com
💼
LinkedIn
linkedin.com/in/bilalakhan
🌐
Apps
apps.stragentech.com
📍
Location
Seattle, WA · Available Remote
Also a member of
CTOx.com — a vetted network of 220+ fractional CTO operators. Every engagement benefits from the network's depth when specialized expertise is needed.
Please enter your first name.
Please enter your last name.
Please enter a valid email address.
Please enter your company and role.
Please select your situation.