From production
Real deployments.
Real outcomes.
Every case study here is a live production system. These are the exact problems we solved, the systems we built, and the numbers that resulted.
If this sounds familiar
Every ERP answer needs 4 screens and 6 clicks.
6 clicks → 1 message
Access stayed live two days after the exit.
4,500+ employees, 0 manual steps
AP matched invoices by hand, every week.
0 manual steps
12 buyers ran on WhatsApp, phone, and memory.
Live in 5 days
Fabric orders ran on WhatsApp. No audit trail.
70% overhead reduction
Another BI user meant another license.
$0 per-user cost
The first AI deployment covered one invoice workflow.
Org-wide adoption followed
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Take the diagnostic →Garment manufacturer · Custom ERP · 3 departments · 4-week deployment
Conversational ERP layer across 3 departments: no new app, no training
Ops, sales, and dispatch teams needed live ERP answers but were blocked behind 4 screens and 6 clicks per query, dozens of times a day. Every data request meant a login, an IT ticket, or a wait.
Outcome
6 clicks → 1 message
3-second ERP response via WhatsApp, Teams, or Slack. Zero apps, zero logins, zero retraining.
Managed Services Provider · 7 client companies · 4,500+ managed employees · 6-week deployment
Employee lifecycle automation for an MSP: 4,500+ employees, 7 client companies
Manual onboarding and offboarding across 7 client companies: 5-system checklist, and deboarded users with live account access for 24–48 hours after their last day.
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.
Garment manufacturer · 10 fabric suppliers · AP automation · 2-week deployment
Supplier invoice reconciliation AI agent: 10 suppliers, 0 manual steps
AP team manually matched invoices against POs across 10 suppliers: 3–4 hours weekly, disputes that blocked payments for weeks, and reconciliation errors found after the fact.
Outcome
0 manual steps
AI agent reads, matches, flags exceptions, generates reconciliation report automatically. Humans only see exceptions.
FMCG distribution · Anveeka Trade · 12 buyers · 11 SKUs · 5-day build
When the Roadmap Is Three Months but the System Breaks in One
3-person team coordinating 12 buyers across WhatsApp, phone, and in-person orders. Manual SOPs broke in month one. No pipeline visibility, no factory packing plan, no buyer tiers. Coordination ran on verbal briefings every shift.
Outcome
5-stage pipeline · live in 5 days
Structured order pipeline from buyer intake to factory dispatch: role-gated portals, rate master with per-buyer overrides, production queue. Built and deployed in 5 days.
Garment manufacturer · Supply chain automation · 2-week deployment
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.
Garment manufacturer · SE Asia · Internal BI · Power BI replacement · 3-week deployment
Apache Superset embedded BI: executives get live analytics without a separate login
Power BI licensing was a ceiling on internal data access. Executives weren't using BI, not because they didn't want to, but because every additional user meant another license.
Outcome
$0 per-user cost
Apache Superset on ClickHouse + PostgreSQL, embedded directly in the manufacturer's ERP. Unlimited internal users, no licensing constraint.
Mid-market manufacturer · First AI deployment · 1-workflow entry
Automating one invoice workflow: what replaced the manual process
Mid-market manufacturer reconciling supplier invoices manually. First AI deployment scoped to one workflow, delivered in 2 weeks. What happened next reshaped how every department thought about their own process.
Outcome
1 workflow → org-wide AI adoption
The entry deployment for manufacturers who know the problem, have the ERP, and need a low-risk first proof point.
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The architecture behind each case applies across manufacturing, logistics, and managed services.
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