Train people to work with AI. Not in theory — in real work.
MetaCore Academy teaches controlled human + AI work: context, sources, tools, handoff, verification and accountability. From one AI provider to an operator and a company AI work system.
AI Boosting1 or up to 3 providers · unlimited sessions during plan TTL
Operator Boostinghuman → AI operator · real work process
Business Boostingprocesses · knowledge field · AI roles · integrations
Human AuthorityAI assists · people approve material decisions
AI. Operator. Company. One coherent Boosting path.
First strengthen an AI provider. Then build a person’s capability to operate AI. When the need grows, structure processes, approved knowledge and roles into a governed company AI work system.
AI provider→AI operator→Company AI work system
AI → Operator → Company
01 · BOOST AI
AI Boosting 24H
One provider seat with unlimited sessions for 24 hours. Trio plans support up to 3 providers.
02 · BOOST HUMAN
Operator Boosting
Practical preparation for real AI work: laptop, real task, context, tools, handoff, verification and clear human approval boundaries.
03 · BOOST COMPANY
Business Boosting · START / TEAM
Operators, processes and approved knowledge are structured into an authorized knowledge field with AI Persona / expert roles and scoped integrations.
AI Boosting strengthens a provider work layer; it is not a private persistent workspace. MetaCloud provides continuity, Operator Boosting develops human capability, and Business Boosting integrates company processes and knowledge. Material decisions remain human.
AI WorkShop Studio · Lithuanian-language group
Three days. Six hours. A real process — not a theoretical course.
The first Lithuanian-language Operator Boosting group is planned for November 5, 6 and 7, 2026: 5–8 people, three practical sessions of two hours. Participants bring their own laptops and an authorized work task. Together with the instructor they set up context, AI work rules, human approval points and a next action.
Practical workshop concept · your laptop, an actual task and human decision authority.
This group is conducted in Lithuanian. The venue and exact start times are confirmed to registered participants. The registration page is in Lithuanian; contact us to discuss training in another language.
Learning paths
Choose your path and grow with MetaCore — from a safe first entry to operator work, team leadership, and mentorship.
A continuous learning journey from safe entry to supporting others.
Level 1
Starter
A first step into AI with safety and context.
8 modules→
Level 2
Operator
Deeper understanding, guidance, boundaries, and decision quality.
14 modules→
Level 3
Team Lead
Team training, standards, rollout, and adoption practice.
12 modules→
Level 4
Academy Mentor
Mentorship, operator development, and a higher guidance layer.
Mentor program→
Live seminars · holographic concept
In-person seminars where ideas become visible.
A human instructor leads the session while participants ask questions and explore a process together. Spatial AI Persona and holographic visuals may help show context, connections and decision points; they do not replace the instructor or a human decision.
A format concept, not an announced event. Venue, equipment, program and dates are agreed separately.
01 · DIALOGUE
Live facilitation
The instructor and audience discuss real questions; AI supports the explanation.
02 · VISUALS
Spatial context
Process maps and alternatives can be shown in the room, subject to the venue's technical capabilities.
03 · ACTION
Practical follow-through
Participants leave with a clearer view of their process and a concrete next step.
Not an AI course. START / TEAM is a company AI work-system project.
Training is part of implementation. Together with operators we structure processes and approved company knowledge into an authorized knowledge field, define AI Persona / expert roles, handoff, approval and human decision gates.
BYOD · your computerREAL SYSTEM · company environmentREAL WORK · real processesSCOPED AUTHORITY · roles · scope · approval
Real Work Lab visualization · real company tasks and human approval.
METACORE OS START · BUSINESS BOOSTING
START · 1 operator · 4 dedicated LABs
A scoped company project: one primary AI operator, selected processes, approved knowledge and a practical AI work model.
BUSINESS BOOSTINGAI Boosting strengthens a provider work layer; it is not a private persistent workspace. MetaCloud provides continuity, Operator Boosting develops human capability, and Business Boosting integrates company processes and knowledge. Material decisions remain human.
MARKET ROUTEThe prices above are canonical implementation bases. Direct deposit reservation is currently surfaced in the LT Academy flow; for other markets, start with qualification and scope review. Final tax treatment, schedule and scope are confirmed before work begins.
PRE-WORKSHOP PREPARATION · ALL PARTICIPANTS
Participants arrive ready to work.
Before every LAB, all participants receive a concrete preparation task and material checklist. The goal is simple: live session time is used for work, not for searching for files, creating folders or resolving unclear access.
Live LAB visualization · holographic presentation depends on the venue's technical capabilities.
01
Folder structure
Create the required work, project, source, output and archive folders in advance according to the checklist.
02
Working files
Select documents, spreadsheets, briefs, technical files or other material that will be used during the workshop.
03
Context and sources
Prepare current links, policies, process descriptions, previous decisions and approved sources.
04
Access and tools
Check the laptop, accounts, required applications, VPN / SSO / API and other organization-approved access.
05
Real work task
Bring a concrete process or task and define in one sentence what useful result the LAB should produce.
06
Data boundaries
Mark what cannot be used in the LAB. Sensitive, restricted or production data must be replaced with a safe version.
Receive the taskchecklist · files · objective
→
Prepare materialsfolders · sources · access
→
Readiness checkready to begin immediately
→
LIVE LABreal task · real action
READY GATEIf the preparation task is incomplete, missing materials or access are resolved before the practical sprint. The goal is to dedicate as much live LAB time as possible to real work.
Example rolling calendar
Dates are not fixed for everyone. After package activation, the cohort time and working weeks are agreed. The schedule below shows a typical practical rhythm so participants can see what they actually receive.
An alternative 14:00–17:00 slot can be agreed with the team. The point is not a lecture — every block ends with a real action inside your system.
09:30–09:45stand-up · objective · blockers
09:45–10:45work sprint 1 · real task
10:45–11:00break · checkpoint
11:00–12:00work sprint 2 · implementation
12:00–12:30review · evidence · next action
Security rule: company systems are accessed only with permissions allowed by the participant and the organization. If production or sensitive data is not suitable for LAB work, a test, anonymized or synthetic scenario is used.
AI works better when people retain context and decision authority.
Human grounding means clear boundaries: AI can assist with analysis and structure, while people retain responsibility for decisions.
01
Context, not chaos
How to read the situation, information, and decision window — without handing final decision authority to AI.
02
Guidance with boundaries
Operators and mentors help maintain structure, safety boundaries, and continuity.
Operator community · qualification
Qualified operators help people use MetaCore in real work.
This Academy area supports qualified operators and the community through webinars, practice sessions, recordings, meetings and mentoring. Loyalty status may grant additional rights, but it is not the definition of Operator Boosting.
Who leads
Accredited people who completed training, use MetaCore products in practice, and work within a clear qualification, safety, and loyalty-program framework.
Webinars
Online Zoom training on MetaCore products, context tools, practical use, teamwork, results analysis, and safe AI application.
Recordings
Some training recordings may be available free on the site — as an introductory layer before a live webinar or private session.
Meetings
In-person meetings may be organized in different countries and locations. Participation depends on the event format, qualification and access conditions.
Team
Operators support qualified team members at no charge — a community, loyalty, and practical growth principle.
Choice
Operators are MetaCore users from different countries and language backgrounds. Each person can choose an operator by language, experience, qualification, topic, and working style.
KR pricing
Group Zoomfrom 500 KR
Participation in a group webinar or training session.
Private sessionfrom 1500 KR
One-to-one work with an accredited operator on your chosen topic.
01
Training
Learn the system and its boundaries.
02
Practice
Use products in real situations.
03
Status
Earn Operator or higher level.
04
Guidance
Can host webinars and support the team.
Important: Academy is not a system of promises or miraculous results. It is a structured layer for training, practice, qualification and human + AI work capability.
An operator is not an “AI guru”. It is a role that helps a person see context, choose action, and stay within safety boundaries.
International operator community
Choose by language, experience, qualification, and working direction.
MetaCore operators are not a single city or single-language group. They are users and practitioners from different countries, topics, and languages. The Academy path lets you choose not only a service, but a guide: someone whose tone, qualification, language, and working style fit you best.
LT / EN / RU and other languagesdifferent countriesdifferent topicsdifferent working styleschoose by fit
Certified operators
The operator helps people and teams understand MetaCore products, boundaries, context, and practical use.
Team training
Academy + Ecosystem Access form a structured team growth path: qualification, practice, support, clear roles, and real results.
Start with Activate
Academy content and operator paths open through your MetaCore account — by rank, qualification, and chosen training format.
Before training, we assess how your team uses AI today and which capabilities it actually lacks.
The qualification audit does not assign a generic “AI level”. It evaluates practical readiness to work with context, data, decision accountability, automation, safety and MetaCore OS. The audit becomes a concrete training profile for your company.
01
AI use in practice
Which models and tools the team uses, for which tasks, and what quality the actual outcomes reach.
02
Context management
Whether the team can preserve sources, decision history, versions and work continuity.
03
Data & security hygiene
What data is sent to AI, how access and confidentiality are managed, and where human approval is required.
04
Decision accountability
Whether it is clear when AI only recommends, when a person approves, and who is accountable for the result.
05
Automation readiness
Where AI already creates value, where processes are not ready, and where automation would introduce risk.
06
Team qualification matrix
Starter, Operator, Team Lead and Mentor capability levels mapped to real roles instead of one course for everyone.
Interviews & tasksteam · roles · tools
→
Practical testcontext · quality · risk
→
Capability matrixknowledge · skills · boundaries
→
Gap analysiswhat blocks outcomes
→
Training recommendationprogram · groups · priorities
AI maturity mapCurrent readiness of the team and individual roles.
Risk registerData, quality, accountability and uncontrolled-automation risks.
Training prioritiesWhat to teach first, what can wait, and where practical mentoring is needed.
Evaluation criteriaHow we will verify whether capability actually improved after training.
Not an exam for “ranking” people.The audit is used to select the right training depth, protect the team from risky gaps and avoid wasting time on topics it already knows.
BUSINESS BOOSTING · COMPANY AI OPERATING SYSTEM
Move from training to a company AI work system: knowledge field, operators, AI roles and processes.
After the audit we define Business Boosting scope: which processes and approved knowledge to structure, which operators are needed, which AI roles are allowed, and which MetaCore or external tools are connected. Training happens while the real work system is being built.
Company AI work topology · separate teams, specialist AI Personas, shared context and human authority.
01
Business outcome & scope
Define the operational result, priority processes, boundaries and measurable acceptance criteria.
02
Operators & responsibilities
Map operators, process owners, leaders and the human decision authority.
03
Authorized knowledge field
Structure approved sources, documents, versions and context that AI roles may use.
04
AI roles & tools
Define AI Persona / expert roles, scoped authority and the tools or integrations each role may use.
05
Handoff, governance & validation
Design who analyzes, transfers, approves, executes and verifies the result.
06
Continuity & DELTA
Leave a work model, knowledge continuity and an improvement backlog after the LAB.
5. Work adoptionMetaCore OS · processes · mentoring
Executive BriefingFor leaders: AI strategy, risks, governance and investment-priority understanding.
Team BootcampIntensive practical program for one team or department.
Role-Based AcademyDifferent learning paths by role and accountability level.
Train-the-TrainerPreparation of internal operators and mentors for continuous learning inside the company.
MetaCore OS AdoptionTraining delivered together with system integration into the real operating model.
Qualification RenewalRepeat assessment after changes, new models or process deployments.
SPECIALIZED AI WORKFORCE TRAINING
Specialized employee training for professional data flows and MetaCore AI infrastructure.
When employees work with complex, sensitive or profession-specific data, general AI training is not enough. MetaCore Academy prepares a custom program for the profession, company operating model, data types, decision accountability and specialized processes.
01
Professional-domain analysis
We assess expert work, terminology, methods, decision logic, regulatory requirements and real operating scenarios.
02
Specialized data-flow map
We identify where data comes from, how it is checked, who interprets it, where it is stored and where AI can assist.
03
AI alignment with experts
The MetaCore AI layer is configured around expert language, professional criteria, sources, boundaries and company-specific operating needs.
04
Specialized process management
We teach how to use AI to analyse, classify, check, transfer, document and coordinate professional workflows.
05
Human–AI accountability boundaries
We clearly separate where AI recommends, where the expert interprets, who approves the result and when additional review is required.
06
Working with specialized infrastructure
Hands-on training covers MetaCore Context, knowledge layers, agents, decision gates, audit and professional AI workflows.
Sales & customer specialistsProduct knowledge, customer context, proposal preparation and complex-request handling.
Outcome:The AI working layer is configured to operate alongside the expert in their professional domain, using company context, approved sources, clear boundaries and specialized work infrastructure.
METACORE ACADEMY · FOR COMPANIES
Choose an entry format based on team size, maturity and rollout objective.
Every engagement starts with a clear scope, responsibilities and outcome criteria. The final commercial estimate is provided after a short needs discussion.
ENTRY
AI Qualification Audit
Assessment of team AI use, safety, context and capabilities before training or rollout.
Capability matrix
Risk register
Training priorities
Recommended program
Best for: one team or department
RECOMMENDED
Audit + Team Bootcamp
A complete path from current-state assessment to practical team work with AI and MetaCore OS.
Qualification audit
Custom program
Practical workshops
Capability validation
Best for: a team seeking fast, practical change
ENTERPRISE
Company Academy Program
A longer multi-level program for leaders, employees, operators, internal mentors and an adoption plan.
Role-based learning paths
Train-the-Trainer
MetaCore OS adoption
Repeat assessment
Best for: multiple teams or the whole organization
We measure:decision quality, work speed, error reduction, context continuity and safe AI use.
We deliver:audit report, program architecture, training materials, practical assignments and an executive summary.
YOUR COMPANY · YOUR TEAM · YOUR PROGRAM
Order an AI qualification audit and a custom MetaCore training program for your team.
We start with a short discussion of needs and team structure. Then we provide the audit scope, program configuration, format, duration and rollout plan.
