Industry, team, systems
What type of business, which systems were involved and where decisions had to be made.
Projects
AI, ERP, RIVILE and automation case studies.
Anonymous examples from AI, ERP, RIVILE, automation, warehouse, data and IT strategy work. Each case shows the business outcome, the delivery risk and what can be reused in another company.
How to read the case studies
The important part is not the technology, but what changed in daily work.
This model helps compare your situation: industry, problem, my role, outcome and the lesson that can be reused in another company.
What was really stuck
Manual work, data, vendors, ERP/RIVILE, warehouse, AI knowledge or project governance.
What I did in the project
Beyond recommendations: process clarification, decision preparation, vendor coordination and adoption.
What can be measured
Lower stock levels, clearer data, faster decisions, less manual work or a safer AI start.
What to reuse
Where to start, what not to buy too early and which first sprint fits the situation.
Themes
Problems
AI - knowledge
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ChatGPT Business + SharePoint
Employee questions, internal documents, and Microsoft 365 SSO connected into a safe AI usage model.
Strategy - growth
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IT strategy 2025-2030
A roadmap for a growing company that needed clearer systems, vendors, risks, and priorities.
RIVILE - WMS
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Warehouse processes and MSCAN
Warehouse logic, mobile work, QR codes, and less manual effort in goods movement.
RIVILE - inventory
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Inventory and ordering
Rules, reporting, and ordering logic that helped reduce stock and manage turnover.
Data - SharePoint
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SharePoint Data Governance
Order across 800k files and a stronger foundation for AI usage.
CRM - integrations
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Salesforce CRM in 4 countries
Sales and HR processes connected with RIVILE, BSS, and SharePoint.
Mini project library
More practical situations where processes, systems, data, and people had to work together.
These are not fictional promises. They are short examples from real work, showing the problems I most often help solve and where a useful conversation usually starts.
Connecting Salesforce and RIVILE data
A CRM, ERP, and BSS process map: fields, ownership, test scenarios, and less double entry.
Related case studyBSS API and systems integration coordination
Not just a technical API connection: data fields, business rules, exception handling, and vendor ownership.
Related directionPreparing warehouse processes for MSCAN
Locations, QR codes, goods flow, and test scenarios before mobile warehouse work starts.
Related case study800k files organized before AI
Clear owners, structure, access, and document logic before AI is used with company knowledge.
Related case studyApprovals and audit trail
Requests, rules, approvals, exception handling, and reporting in one controlled flow.
Related directionIT solution and vendor selection
A requirements map, process priorities, proposal comparison, and a clearer decision before investment.
Related directionCRM implementation change management
Aligning sales stages, reporting, ownership, and integrations across multiple teams and markets.
Related case studyData quality cleanup
Consistent sources, clear metric owners, and fewer arguments about which report is correct.
Related insightInventory and ordering rule review
Min/max logic, turnover, supplier lead times, and clearer reorder signals with measurable impact.
Related case studyEmployee AI usage start
Practical scenarios, security rules, M365 sign-in, and responsible use in daily work.
Related directionHow to use this
If you recognize a similar situation, start with diagnosis, not with a tool.
The project examples help identify whether the issue sits in process, data, systems, vendors, or ownership. In the first conversation we choose the direction: audit, sprint, implementation leadership, or a few practical decisions.
Typical outcome
A clearer path from problem to working change.
No inflated promises, no unnecessary system replacement, with clear priorities and ownership.
Start with a diagnostic callAdded from practice
New case studies from real delivery experience
These examples safely anonymize project experience across integrations, automation, supplier selection and data governance.
CRM · ERP · integrations
CRM and ERP integrations led into a working process
When sales, operations, finance and service teams use different systems, integration must connect real work, not only technical fields.
Automation · audit trail
Process automation with approvals and audit trail
Manual work often hides more than time waste. It hides unclear responsibility, missing approvals and weak process history.
Suppliers · decision support
IT supplier selection when the decision affects process and data
When buying a system or integration, the cheapest proposal is not always the safest path. The real question is who can deliver the operating result.