From production, not pilots

Real deployments.
Real outcomes.

Every case study here is a live production system — not a demo, not a proof of concept. These are the exact problems we solved, the systems we built, and the numbers that resulted.

6Live deployments
4,500+Employees automated
0Manual steps in key workflows
2 wksEntry tier go-live
Manufacturing Conversational AI ERP
Conversational ERP layer across 3 departments — no new app, no training
Customer service, sales, and ops teams needed live ERP answers but were navigating 4 screens and 6 clicks per query — dozens of times a day.
Outcome
6 clicks → 1 message
3-second ERP response via WhatsApp, Teams, or Slack. Zero apps, zero logins, zero retraining.
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Manufacturing AI Agent Finance
Supplier invoice reconciliation AI agent — 10 suppliers, 0 manual steps
AP team manually matched invoices against POs across 10 fabric suppliers — hours of work weekly, frequent disputes, and errors that cost real money.
Outcome
0 manual steps
AI agent reads, matches, flags exceptions, generates reconciliation report automatically. Humans only see exceptions.
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Manufacturing Power Platform Supply Chain
Integrated supplier portal for a garment manufacturer — replaced WhatsApp ordering
Fabric ordering ran on WhatsApp messages, phone calls, and manual tracking. No visibility, no audit trail, and constant coordination overhead.
Outcome
70% overhead reduction
Power Apps portal + Power Automate workflows live in 2 weeks. Full supplier self-service with automated order tracking.
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Energy Tech Business Intelligence Open Source
Apache Superset embedded analytics — customers get live insights without a data analyst
An energy tech company needed customer-facing analytics for renewable energy data. Power BI licensing per customer made it economically impossible to scale.
Outcome
$0 per-user cost
Apache Superset on ClickHouse + PostgreSQL stack. Live analytics embedded in customer portal. Unlimited users, no licensing constraint.
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Managed Services Automation MS Graph
Employee lifecycle automation for an MSP — 4,500+ employees, 7 client companies
Manual onboarding and offboarding across 7 client companies: 5-system checklist, compliance risks, and security exposure every time someone left.
Outcome
4,500+ employees · 0 manual steps
MS Graph + Power Apps lifecycle automation. Full provisioning, access removal, and compliance across all 7 clients — no manual intervention.
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Manufacturing AI Agent Operations
How one invoice workflow changed how an entire organization thinks about AI
The first AI agent was scoped as a simple invoice workflow. What actually happened: it unlocked a conversation about operations that changed every department's roadmap.
Outcome
1 workflow → org-wide AI adoption
The deployment pattern for starting with AI in operations — and what happens after the first workflow goes live.
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Know someone with a similar bottleneck?

If any of these scenarios describe a colleague's operation, send them this page. The same architecture that solved these problems applies across manufacturing, logistics, and managed services environments.

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