ChatGPT Business, SharePoint, AI rules, and training
When you want to use AI safely with company documents, Microsoft 365, employee tasks and a clear adoption model.
View AI implementationServices
I help businesses define IT strategy, understand their processes, choose ERP/WMS/CRM solutions, and turn change into something that works in daily operations.
Commercial paths
When you want to use AI safely with company documents, Microsoft 365, employee tasks and a clear adoption model.
View AI implementationWhen systems, data, and operations need to become one clear daily operating base.
View ERP consultingWhen there are many ideas but the business needs sequence, ownership, and execution rhythm.
Start with diagnosticI help define what should change first, how technology should support business goals, and what path turns IT into a growth enabler rather than a separate function.
I identify where time is lost, work is duplicated, or information breaks down, and turn that into a clear change plan, from standardization to automation.
I help connect systems, data, and processes so the business can work from one reliable information base with less manual effort and clearer daily operations.
I lead work from an unclear need to real use: analysis, requirements, vendors, implementation, testing, launch, training, and adoption.
I help companies choose the right AI solution, compare ChatGPT, Gemini, Claude, Microsoft Copilot, or other models, prepare the data, connect knowledge sources, and teach people to use AI in a way that supports real daily work.
When experienced support is needed for direction, priorities, leadership decisions, and the pace of change.
How I contribute
What is worth doing now, what can wait, and what should not be done at all.
Turning business needs into practical requirements and a workable path.
Not only launch, but training, habits, ownership, and real usage.
When experienced support is needed for direction, priorities, and leadership decisions.
SharePoint, data governance, shared rules, and trustworthy knowledge sources.
So ERP/WMS/CRM, documents, and data work as one logic, not separate islands.
AI inside the organization
The real value appears when people understand how to use AI in daily work and the data is prepared well enough for the answers to be genuinely useful.
That is why AI work is not only about models and integrations, but also about knowledge order, safe use, training, and adoption.
When to reach out
Sometimes it is enough to know that time is being lost, data is fragmented, or people are doing more by hand than they should.
First, the business situation has to be understood. Only then is it worth discussing tools, systems, and implementation paths.
Productized sprints
Each sprint has a clear starting point, a 2-6 week path, a concrete output, client inputs and a related example from practice.
SharePoint knowledge sources, ChatGPT Business or Copilot direction, M365 SSO, usage rules and practical training.
Related case studyReview of processes, data, RIVILE, WMS/MSCAN, integrations and vendor questions before a larger ERP change.
Related case studyDocument structure, access rights, duplicate reduction and knowledge-base readiness for AI usage.
Related projectPower Automate, approvals, requests, reports and manual-work reduction where the business can see value quickly.
Read ROI guideReview of project goals, decisions, vendors, testing, risks and user readiness so the work can move again.
View project deliveryIndustries
The same tools solve different problems in different industries: inventory in one company, documents, approvals or production planning in another.
RIVILE, ecommerce, SharePoint, warehouse, orders and data flows between systems.
View directionMSCAN, locations, scanning, inventory, picking and reducing warehouse errors.
View directionPlanning, materials, quality documents, ERP readiness and measurable process changes.
View directionRequests, approvals, documents, M365, AI and reducing manual administration.
View directionFAQ
Short answers that help decide whether the first step should be strategy, process cleanup, ERP, AI, automation, or project delivery.
The best first step is a short diagnosis: where manual work is highest, where decisions get stuck, where data conflicts, and what result leadership needs. After that, it becomes clearer whether the right starting point is digital transformation, automation, ERP, or IT strategy.
No. In many cases it is better to clarify the process, data, and requirements first. Then vendor proposals become comparable, and the decision depends less on a polished demo.
Yes. I can help clarify requirements, coordinate vendors, manage testing, and make sure the solution works in daily operations, not only on paper.
AI consulting starts with practical use cases, company knowledge sources, data readiness, risk rules, tool selection and adoption. For Lithuanian companies this often means connecting AI decisions with Microsoft 365, SharePoint, ERP or CRM context instead of buying a standalone AI tool.
When a process is stuck, decisions are scattered, vendors speak different languages, or the team no longer knows where to start. In those moments, the first conversation often saves a lot of time.
Proof from practice
SharePoint and Microsoft 365 document governance before safer AI use and more reliable answers.
Coordinating CRM, ERP, BSS and SharePoint integrations across teams and operating models.
Inventory, ordering and warehouse process improvements measured by operating outcomes, not slide decks.