?
The real problem is unclear
The symptoms are visible, but different teams or experts explain the problem differently.
Diagnosis
Independently developed collective intelligence platform
We bring distributed organizational intelligence into focus.
We help businesses, public-sector organizations, local communities and networked communities diagnose complex problems, generate alternatives and make better decisions using our collective intelligence platform. It integrates the knowledge of employees, experts and other stakeholders into a single process of anonymous interaction, idea generation and collective evaluation.
Several thousand people have already taken part in collective decidement processes on the platform. The quality of their ideas and their contribution are evaluated—not their title, status or ability to dominate a discussion.
Technology
Not just a method — a working collective decidement system
“Omnicracy” is an independently developed collective intelligence platform refined for more than two decades. It enables a group of any size to submit, evaluate and select solutions anonymously in a single interactive environment. The organization can see not only rankings, but also convergence, differing perspectives and potential polarization.
Thousands of participantsThe platform has been used in real collective decidement processes.
Anonymous authorshipAn idea is separated from title, name and authority.
Traceable contributionAnonymity removes status effects without removing accountability for contribution.
What we solve
When ordinary meetings are no longer enough
In complex organizations, valuable information is distributed across people. The challenge is not only to collect it, but to create the conditions for a group to turn it into a shared decision architecture.
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Good ideas go unheard
Valuable alternatives often lose to status, authority or the loudest voice in the room.
Exploring alternatives≋
A shared direction is needed
A decision must not only be logical; it must also be understood by the people who will implement it.
PrioritizationServices
One methodological core — different situations
Services can be used as separate stages or combined into a complete decidement cycle—from identifying and formulating the problem to an action plan. When an organization or community lacks the necessary internal expertise, external experts can be brought into the process.
01
Problem diagnosis
We help distinguish symptoms from causes and identify factors the organization can realistically influence.
Outcome: a more clearly defined problem.
02
Idea generation
Participants not only propose alternatives; they also interact by evaluating solutions submitted by others.
Outcome: a structured space of alternatives.
03
Decision development
A complete process in which the problem, alternatives and their evaluation are integrated into a single decidement cycle.
Outcome: prioritized solutions.
04
Embedding collective intelligence in the organization
Integration of collective intelligence methods into strategy, innovation, project management and organizational development.
Outcome: an ongoing decidement practice.
Investment in decision quality
Collective decidement for decisions that matter
Collective intelligence is most valuable when the value of a better decision can exceed the cost of the process many times over. The minimum engagement is designed for one organization, public-sector institution or community to address real problems using a specialized platform and an independently developed decidement methodology.
€2,800
Minimum engagement
One cluster, three real decidement projects
Designed for a small organization, institution or independent team, with up to 15 participants working on one decision domain.
- Creation of one decidement cluster
- Three separate collective intelligence projects
- Participant onboarding for the platform — up to 45 minutes
- Methodological support at project launch
- Access to the specialized collective intelligence platform
Tailored proposal
Scope is determined by the complexity of the problems
For larger organizations and multi-domain decidement
When more than 15 people participate, several departments are involved, multiple clusters are created or external expertise is required, a tailored decidement architecture is designed.
- Multiple organizational units or decidement clusters
- A larger number of projects
- Separate groups of employees, leaders and external specialists
- External expertise sourcing
- Problem-identification and formulation sessions
- Project administration, facilitation and results analysis
- Long-term platform use
You are not paying for platform access. You are investing in better decisions.
Collective intelligence makes sense when the cost of a wrong decision, a missed alternative or an unrealized opportunity is substantially greater than the cost of the process itself. Before a proposal is made, we therefore assess the importance of the problem, the composition of the participant group and the expected value of a better decision.
At least 8 competent participants should be brought together around a specific topic. The most reliable results are achieved with 15–20 or more participants. With only 8 participants, the quality of the outcome cannot be guaranteed.
How we work
A process that turns a group of people into a thinking system
The key difference is that participants are not merely respondents. They become creators and evaluators of a shared decision space.
Decidement process
1
Problem identification and formulationWe define a clear, solvable challenge.
2
Building the participant groupWe bring together the necessary experience and relevant stakeholders. The practical minimum is 8 participants; the method works best with 15–20 or more. With only 8 participants, the quality of the outcome cannot be guaranteed. If internal expertise is insufficient, the group is complemented with external experts.
3
Creating alternativesEach participant contributes their knowledge to the shared space.
4
Collective evaluationSolutions are evaluated in interaction with solutions submitted by others.
5
Interpreting the resultsPriorities, convergence, polarization and potential conflicts are surfaced.
6
Decision and next actionThe outcome is translated into a concrete next step.
Methodological principles
The idea matters more than statusThe evaluation logic reduces the effects of hierarchy, authority and social pressure.
Anonymous authorshipThe idea is evaluated rather than the status of the person who submitted it. Participants do not see who submitted a specific idea or evaluation, reducing the influence of authority, position and conformity.
Traceable contributionThe platform preserves the link between a participant and their actions, allowing the contribution and its significance to be measured. Anonymity removes status effects without removing accountability for contribution.
Continuous feedbackThe group does not only generate ideas; it continuously evaluates them, so knowledge becomes structured during the process.
Competence emerges through contributionImportant solutions may come not from the highest-ranking people, but from those who understand the problem best.
External expertise sourcingWhen the organization lacks sufficient internal knowledge for a specific problem, competent external participants are invited into the same decidement space.
A decision is more than a sum of votesThe process examines not only support, but also the structure of evaluations, convergence and differing perspectives.
Collective intelligence
A group of people is not collective intelligence by itself
Collective intelligence emerges when a sufficiently large group of people works within one interactive information environment, independently proposes and evaluates solutions, and each participant’s contributions become part of the context for others’ thinking.
“Collective intelligence is a process in which a group does more than provide answers: it structures shared knowledge by evaluating, comparing and improving the space of possible solutions.”
The practical goal is not to collect more opinions, but to help the group see what an individual or a small leadership team may miss.
Not a survey
A survey collects individual opinions but does not create interaction between them.
Not ordinary brainstorming
Ideas are not only generated; they are systematically evaluated by the whole group.
Not voting
The aim is not simply to choose the majority option, but to understand the structure of the solution space.
Not a substitute for AI
Artificial intelligence can help, but the social value of decisions is created through human interaction.
When is collective intelligence appropriate?
The method is worth applying when at least 8 participants can be brought together around a specific problem domain. This is the practical minimum, but the quality of the outcome cannot be guaranteed with a group of that size. The method works best with 15–20 or more participants, especially when their experience and expertise complement one another. If the organization lacks sufficient internal expertise, external experts can be included.
About
The method is grounded in long-term experience in complex systems and collective decidement
MB “OC Projektai” is the organizational base through which collective intelligence methods are applied to real organizational problems and decisions.
Saulius Norvaišas
Developer of the collective intelligence methodology and platform.
Decision architecture, not another consulting presentation
Developed over more than two decades, the collective intelligence methodology is designed for situations in which the knowledge of one expert or a small leadership group is not enough. It is grounded in complex systems modeling, structured human interaction and algorithmic integration of individual evaluations. When the organization lacks sufficient internal expertise for a specific problem, the decidement group can be complemented with competent external participants.
The aim is to create a process that enables an organization to use its internal knowledge more effectively and make decisions whose quality does not depend solely on hierarchy, authority or meeting dynamics.
Complex systems modelingMethodological foundation.
Collective intelligence platformInteractive collective decidement.
Organizational problem diagnosisFrom symptoms to influenceable factors.
Post-hierarchical principleCompetence emerges through contribution.
Insights
Thinking about decisions, organizations and collective intelligence
This section publishes articles relevant to business, the public sector and communities on decidement, collective intelligence and organizational life in the age of AI. Some are expanded versions of earlier LinkedIn publications. Article pages can be shared and saved as PDF.
Why AI does not solve the organizational decision problem
AI can propose an answer, but the organization still has to identify the problem, integrate distributed human knowledge and decide which alternative is actually valuable.
A 15-page visual explanation of the article.
Why the best idea does not always come from the leader
Hierarchy shows who is responsible for a decision, but not always who understands the specific problem best. Competence can emerge through actual contribution.
A 13-page visual explanation of the article.
When is collective intelligence better than brainstorming?
Idea generation is only the beginning. High-quality decidement also requires structured collective evaluation.
Frequently asked questions
What should you know before you start?
Collective decidement is not an ordinary survey or brainstorming session, so before starting it is important to understand the participant count, cluster logic, anonymity and pricing.
How many people are needed?
The practical minimum is 8 participants, but the method works best with 15–20 or more.
Do all participants have to be employees of the organization?
No. When internal expertise is insufficient, the group can be complemented with competent external participants.
How is collective intelligence different from brainstorming?
Ideas are not only generated; they are systematically evaluated and structured by the whole group.
How much does it cost to start?
The minimum engagement is €2,800. It includes one cluster, three real projects and up to 45 minutes of participant onboarding.
Do you have a challenge worth solving differently?
Briefly describe the situation. In an initial conversation, we can assess whether collective intelligence is appropriate for your case.
Contact
Start with the problem, not the product
Tell us what problem you want to solve or what decision needs to be made. We will first understand the situation and then assess which form of decidement would be most appropriate.
MB “OC Projektai”
Collective intelligence methods for organizational problem diagnosis and decidement.
Briefly describe the situation
Complete the form — we will reply by email and, if it makes sense, arrange a short conversation.
Collective intelligence can be turned into concrete decidement technologies
These are not one-off consulting engagements or idea sessions. Each application can be designed as a repeatable decidement architecture that brings together the required expertise, structures the creation of alternatives and collective evaluation, and delivers a concrete decision outcome to the client.