1
Read the operation's context
Bind purpose, identity, data, requested effect, legal duties and potential harm before selecting a control path.
How Synaporia works
Better AI work, with authority and evidence intact.
Synaporia is designed to sit between AI services and business operations. It selects a qualified work path, checks whether the result is usable, applies organisational boundaries before action, brings people into consequential decisions, and records the outcome for later review.
2
Select the control intensity
Apply Rapid, Standard, Protected, Governed or Critical controls, then add the rules of Legal, HR, Finance, Projects or another function.
3
Apply the strongest rule
Authoritative floors compose monotonically: context may raise control, while an AI response cannot relax the boundary.
The operating model
Five questions before meaningful work proceeds.
Is the result good enough to use?
A workflow-specific quality contract defines required evidence, material-issue coverage, format and review threshold. Output volume alone cannot pass it.
Does the evidence support an answer?
Missing, stale or contradictory evidence can require clarification, escalation or denial instead of a forced completion.
Is this action allowed?
The organisation's rules—not the AI's confidence—determine whether work can continue.
Is it appropriate here?
Purpose, sensitivity, user authority and business context can require a stricter path.
Who must decide?
Higher-stakes work is designed to pause for named human review and, where required, more than one approver.
Can the decision be reviewed?
The intended record links the request, governing rules, approval and outcome without treating the model's explanation as proof.
Law firm · contextual tiers
Public creative drafting may use Rapid. Confidential matter research may require Protected. A consequential recommendation may require Governed, while high-value irreversible action may require Critical. HR work remains separated from client matters.
Legal researchMatter managementHR operationsFinance controlsProject deliveryCommunications
Current boundary
The composition model has local repository evidence. Customer integrations and the complete production operating environment are not yet qualified.
Start with your decisions, not our technology.
Tell us what the AI should help with, what it must never do alone, and what evidence your organisation needs.
Map your operating boundary