Services

Digital transformation, AI implementation, process automation, and project leadership through to results.

I help businesses define IT strategy, understand their processes, choose ERP/WMS/CRM solutions, and turn change into something that works in daily operations.

20+ yearsbusiness IT and RIVILE ecosystem experience
30%lower stock levels in an inventory project
800kfiles governed before safer AI use
4 countriesCRM, ERP, BSS and SharePoint integration context
10+ yearsinventory and ordering solution in use
Dovydas Gustys presenting AI, digitalization, ERP, WMS, and CRM directions

Commercial paths

Services can start from one of three clear directions.

AI consulting in Lithuania

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 implementation
ERP/RIVILE and operations

Warehouse, inventory, RIVILE MSCAN, integrations, and ERP readiness

When systems, data, and operations need to become one clear daily operating base.

View ERP consulting
Processes and IT direction

Diagnostic, priorities, vendor management, and project delivery

When there are many ideas but the business needs sequence, ownership, and execution rhythm.

Start with diagnostic
01

IT strategy and digital transformation roadmap

I 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.

02

Business process analysis and automation

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.

03

ERP consulting, RIVILE, and systems integration

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.

04

Project leadership to a working result

I lead work from an unclear need to real use: analysis, requirements, vendors, implementation, testing, launch, training, and adoption.

05

AI inside the organization

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.

06

Interim CIO / strategic partner

When experienced support is needed for direction, priorities, leadership decisions, and the pace of change.

How I contribute

Not isolated IT tasks, but the full logic of change.

Priority setting

What is worth doing now, what can wait, and what should not be done at all.

Solution selection

Turning business needs into practical requirements and a workable path.

Adoption into daily work

Not only launch, but training, habits, ownership, and real usage.

Interim CIO / strategic partner

When experienced support is needed for direction, priorities, and leadership decisions.

Data and knowledge order

SharePoint, data governance, shared rules, and trustworthy knowledge sources.

System connection

So ERP/WMS/CRM, documents, and data work as one logic, not separate islands.

Dovydas Gustys leading AI adoption training

AI inside the organization

The technical launch is only the beginning.

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

You do not need to arrive with a finished project brief.

Sometimes it is enough to know that time is being lost, data is fragmented, or people are doing more by hand than they should.

  • You are not sure what should be digitized first.
  • Processes have outgrown old habits.
  • Systems do not communicate and data is repeated in several places.
  • A project is moving too slowly or lacks clear ownership.
Approach

You can start with a conversation, not a technical specification.

First, the business situation has to be understood. Only then is it worth discussing tools, systems, and implementation paths.

Productized sprints

Clear sprints when you need a concrete result, not another general consultation.

Each sprint has a clear starting point, a 2-6 week path, a concrete output, client inputs and a related example from practice.

Download ERP, AI, RIVILE and ROI templates

2-4 weeks

AI start with company documents

SharePoint knowledge sources, ChatGPT Business or Copilot direction, M365 SSO, usage rules and practical training.

Problem: employees ask the same questions while answers are buried in documents.Best for: policies, procedures, instructions and internal knowledge.Not a fit: sensitive documents without access rules and owners.Path: knowledge sources, rules, pilot, training and adoption measurement.Output: a safe AI pilot, usage rules and a clear operating model.Client input: pilot team, document owners and M365/SharePoint context.
Related case study
2-4 weeks

ERP/RIVILE readiness sprint

Review of processes, data, RIVILE, WMS/MSCAN, integrations and vendor questions before a larger ERP change.

Problem: vendors show features, but leadership is not yet clear on real needs.Best for: ERP selection, RIVILE expansion, WMS or integration projects.Not a fit: confirming an already chosen solution without reviewing the process.Path: process map, data risks, integrations, test scenarios and vendor questions.Output: ERP readiness sheet, decision list and first-wave scope.Client input: process owners, current reports, integrations and pain points.
Related case study
2-6 weeks

SharePoint and M365 data readiness sprint before AI

Document structure, access rights, duplicate reduction and knowledge-base readiness for AI usage.

Problem: the AI idea is strong, but information is scattered, outdated or ownerless.Best for: SharePoint, Teams, policies, procedures and quality documents.Not a fit: connecting all documents without selection and access logic.Path: content inventory, permission model, owners, archive logic and AI readiness rules.Output: document governance model and a clear list of AI knowledge sources.Client input: document groups, owners and access rules.
Related project
2-5 weeks

Process automation ROI sprint

Power Automate, approvals, requests, reports and manual-work reduction where the business can see value quickly.

Problem: everyone feels the manual work, but nobody knows whether automation will pay back.Best for: Excel, email, approvals, data transfer and reporting routines.Not a fit: a process without clear rules or an owner.Path: process measurement, errors, time cost, ROI model and first pilot scope.Output: payback estimate, risks and first automation scenario.Client input: volume, frequency, duration, errors and process participants.
Read ROI guide
2-4 weeks

Stuck project rescue sprint

Review of project goals, decisions, vendors, testing, risks and user readiness so the work can move again.

Problem: the project is active, but decisions are late, vendors are waiting and the team is tired.Best for: ERP, CRM, WMS, AI, integration or automation projects mid-flight.Not a fit: no business-side decision owner.Path: status audit, risk register, decision backlog and 30-day recovery rhythm.Output: action plan, decision owners and project management rhythm.Client input: goals, vendor status, open questions and a decision owner.
View project delivery

Industries

Choose the context closest to your business.

The same tools solve different problems in different industries: inventory in one company, documents, approvals or production planning in another.

Trade

Trade and ecommerce

RIVILE, ecommerce, SharePoint, warehouse, orders and data flows between systems.

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Warehouse

Warehouse and logistics

MSCAN, locations, scanning, inventory, picking and reducing warehouse errors.

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Manufacturing

Manufacturing

Planning, materials, quality documents, ERP readiness and measurable process changes.

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Services

HoReCa and services

Requests, approvals, documents, M365, AI and reducing manual administration.

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FAQ

Common questions when choosing where to start

Short answers that help decide whether the first step should be strategy, process cleanup, ERP, AI, automation, or project delivery.

Which service should we start with if the real problem is still unclear?

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.

Do we need to choose a system or vendor immediately?

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.

Can you work with our existing vendors and systems?

Yes. I can help clarify requirements, coordinate vendors, manage testing, and make sure the solution works in daily operations, not only on paper.

What does AI consulting include for a Lithuanian company?

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 is the right time to get in touch?

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

Experience that can be applied to your situation

800k files

SharePoint and Microsoft 365 document governance before safer AI use and more reliable answers.

4-country CRM context

Coordinating CRM, ERP, BSS and SharePoint integrations across teams and operating models.

30% lower stock levels

Inventory, ordering and warehouse process improvements measured by operating outcomes, not slide decks.