Straight questions. Straight answers.

Assumptions are made explicit rather than remaining hidden inside analysis or discussion. They can be connected to evidence, dependencies and confidence, making it easier to identify which assumptions are most consequential to the decision.

Evidence can be associated with the assumptions and claims it supports, including its provenance and confidence. This creates a clearer distinction between what is known, what is inferred and what remains uncertain.

VCLARIFI is designed to surface contradictions and tensions rather than silently smoothing them away. Conflicting evidence or assumptions can therefore be examined before they become embedded in a commitment.

Some evidence becomes less reliable as conditions change or time passes. Confidence decay provides a way to recognise that the strength of a decision's underlying basis may change rather than treating every input as permanently valid.

Decision readiness is about whether the basis for commitment is sufficiently understood. It considers the strength of the supporting evidence, unresolved assumptions, dependencies, contradictions and material uncertainty before action is taken.

VCLARIFI can record the confidence, conditions, evidence and authority associated with a commitment. This creates a clear distinction between exploring a decision and authorising an outcome.

VCLARIFI is focused on the governance of decisions and externalised commitment. It is not designed to expose or govern a model's private internal reasoning or sub-second internal processing.

Yes. VCLARIFI is designed to support environments where AI agents or autonomous systems may move from analysis to action. The focus is on the conditions, authority and decision basis associated with that commitment.

It makes the basis of a decision easier to understand later. Instead of reconstructing why a commitment was made from emails, documents and memory, the relevant decision context can be retained in a more structured form.

VCLARIFI's governance architecture is designed around attributable, signed events so that material actions can be connected to the relevant authority and decision context.

Yes. VCLARIFI is designed to support repeatable decision discipline across teams and organisations, including environments where evidence, policy, authority and accountability need to remain traceable.

VCLARIFI is designed so that customer decision data is not treated as training material for external models. Current data-handling terms should always be read together with VCLARIFI's published Privacy and Security documentation.

Tenant isolation forms part of VCLARIFI's security architecture, helping keep one customer's decision environment separated from another's.

Detailed information is available through VCLARIFI's Security & Assurance and Privacy pages. Enterprise customers can also contact VCLARIFI to discuss security and deployment requirements.

Yes. Examples include buying a property, evaluating an investment, deciding whether to take a job or considering relocation. The same discipline can be applied without turning the process into a corporate exercise.

Yes. Business applications include market, investment, operating-model and risk decisions, as well as other strategic or operational commitments where assumptions and dependencies need to be visible.

It can help structure decisions about AI models, training data, whether an AI system should be authorised to make a particular decision and whether the system is sufficiently understood and governed for the intended use.

VCLARIFI is intended to support governance around consequential autonomous action — including whether a system should act, whether it is ready, whether the mission should proceed and whether the system remains within defined parameters.

No subscription is required for the standard decision packs. You purchase the number of decisions you need rather than paying a recurring subscription for those packs.

One Governed Decision is designed for a single important decision. The five-decision pack suits repeat users and professionals. The 20-decision Business Pack is designed for SMEs and professional firms with recurring decision needs.

Enterprise arrangements are available for organisations, teams and AI-agent governance. VCLARIFI also supports discussions for industrial, infrastructure, machine and autonomous-system deployments.

The VCLARIFI Kernel has been implemented in reference form with a REST interface and signed governance events. Integration requirements can be discussed directly with VCLARIFI.

VCLARIFI is designed as decision infrastructure rather than a replacement for every system around it. Enterprise integration depends on the use case, architecture and governance requirements.

The core Kernel exists in reference implementation, including its REST interface and signed governance events. VCLARIFI continues to develop the broader product and deployment environment around that decision infrastructure.

VCLARIFI's technology, methodologies, product design and associated intellectual property are protected in accordance with the terms published on the VCLARIFI website. Refer to the Intellectual Property page for the current position.

VCLARIFI's current Terms of Use, Privacy, Security & Assurance and Intellectual Property information are available through the relevant legal and assurance pages on the website.

For product, enterprise, technical or other questions, contact VCLARIFI at hello@vclarifi.com.