See the risk before the deadline.
See commitments, renewals, and dependencies early, with the evidence behind each warning.
ExploreUnderstand your business to govern what happens next.
Give your people and AI agents shared context. See what needs attention, keep important actions within your rules, and know what happened.
Connect your business in one accountable operation.
Build on the knowledge your business already holds.
Keep decisions, commitments, and relationships connected to their evidence, even as teams and tools change.
Give AI agents relevant facts and risks within their permissions. Preserve what was known at the time, with sources and confidence attached.
Explore organizational memoryPeopleSystemsAI agents
One record preserves both clocks.
Decisions, commitments, and outcomes, connected through evidence.
When it was true
When a change took effect.
When it was learned
When it entered the record.
Before, during, and after the work.
Check authority before action.
Check policies and authority before execution. Hold exceptions and deny prohibited actions.
ExploreCatch the signals that matter.
Connect contradictions, missed commitments, and agent drift into situations you can investigate.
ExploreFollow the record back.
Trace who acted, which rule applied, and what was known at the time.
ExploreTurn experience into better rules.
Review suggestions from repeated decisions. Adopt better rules while keeping control.
ExploreSet clear limits before the action.
Check governed actions against your policies and each actor’s authority. Hold exceptions for an authorized person to review.
If a rule cannot be evaluated, the action waits.
Explore agent governanceAuthority. Policy. Context.
Checked before execution
Permit
Within the rules
Hold
Review required
Deny
Not authorized
In-path actions can be held before execution. Imported activity records what already happened and cannot be retroactively blocked.
- Actor
- Who initiated the action
- Action
- What was attempted
- Policy
- The rule version in force
- Verdict
- What was permitted, held, or denied
- Approval
- Who approved it, when required
- Outcome
- What followed the decision
Show what happened and why it was allowed.
Trace the action, the rule, and the person who approved it. Chained receipts make changes to that history detectable.
Signed checkpoints and inclusion proofs support independent verification when transparency publication is configured.
Explore receipts & verificationA quieter way to run the business.
Start with what changed.
A concise view of material changes and the decisions that need you.
Explore BriefFocus on what matters.
Supported warnings, questions, and exceptions, with evidence and next steps.
Explore AttentionGo deeper, just by asking.
Explore the record by text or voice. Take permitted actions through the same controls.
Explore Ask OrcintaHave questions?
How is organizational memory different from a knowledge base?
Organizational memory connects facts, decisions, and commitments to their evidence. Sources, confidence, and time stay attached, so people and agents can work with context and trace what was known then.
Can my existing AI agents use Orcinta’s context?
Yes. Connected agents can request relevant facts, commitments, and risks through the governed MCP interface, the standard tool interface agents use to request context. Each briefing is limited by the agent’s permissions. Private member data stays private.
Does Orcinta govern every action in a connected system?
Actions routed through the platform’s enforcement path are evaluated before execution. Activity imported after it happened provides evidence and visibility, but cannot be retroactively blocked. The record distinguishes these two kinds of evidence.
What do receipts prove?
Receipts record the actor, policy, verdict, and approval where required. Chaining makes changes detectable. Configured transparency publication enables independent proofs. This is evidence of the recorded process, not blanket certification.
How can Orcinta be deployed?
Start in the managed cloud. Dedicated and regional options depend on your package; bring-your-own-cloud and on-premises installations are delivered with the team under Sovereign.
Put context and control to work.
One accountable operation for your people, systems, and AI agents.