Policy unclear?
Inspect evidence against the assigned baseline. See gaps, uncertainty and the response requiring human review.
Explore policy assuranceOperational AI governance
Establish authority.
Control the action.
Prove the decision.
Praxis shows what your policy evidence supports and prepares a reviewed response. Aegis independently verifies active authority before governed agent actions can take effect. One chain, with a clear place to start.
One governed chainILLUSTRATIVE CHAIN
01Regulatory baselineReviewed requirements and organisational scopeSource
02PraxisAssess, remediate and agree authorityEstablish
03Governed workflowsOperationalise the approved responseApply
04AegisVerify and enforce before executionEnforce
05EvidencePreserve the decision, authority and lineageProve
Choose the job, not the jargon
Where do you need control?
An agent can act?
Identify the permission decision, the enforcement point and the evidence around one consequential action.
Explore runtime authorityWant to test the claim?
Keep existing safeguards. Compare the boundary in an isolated test that counts useful work and failures.
Review the protocolArrived from the dinosaur or Field + Air? Start with Brake Pedal.
Proofs, not promises.
Praxis establishesEvidence-bound organisational authority
Aegis enforcesIndependent runtime decisions
The chain provesInspectable evidence from policy to effect
The platform
Runtime governance starts before runtime.
Aegis should enforce authority that the organisation has actually established and approved. It should never need to invent that authority itself.
AssessUnderstand what the organisation's evidence actually supports.
AgreeTurn gaps into an approved, reviewable response.
EnforcePut approved authority in the execution path.
Two products. One journey.
Establish it with Praxis. Enforce it with Aegis.
Enter through the problem you have today: uncertain policy authority or uncontrolled runtime action.
Praxis Policy Assurance
Know what your policies actually prove.
Assess organisational evidence against the assigned regulatory baseline, inspect the findings, and turn unresolved obligations into an agreed remediation plan.
AssessmentEvidence-bound findings
RemediationPractical first pass
AgreementConsultant + client review
Aegis Runtime Governance
Run AI under law, not whim.
Independently verify what an agent is allowed to do before it touches a tool, workflow, API or record; and preserve the receipt.
VerifySigned active authority
DecideAllow, deny, escalate
ProvePer-action receipts
See Praxis in action
From policy evidence to an agreed response.
The complete Policy Assurance journey: assessment, report, remediation, client collaboration and agreement.
The operating reality
The agents are moving. Governance has to move with them.
Policies, approvals and controls matter only when the organisation can connect them to operational authority and inspect what happened.Policy → authority → runtime → evidence
SPQR Technologies
Built for the whole decision.
We build independent governance infrastructure for organisations putting AI agents into consequential workflows.
Evidence-boundClaims remain tied to reviewed sources and preserved decisions.
Human-governedProfessional judgement and authorised approval remain explicit.
Runtime-capableApproved authority can move into the execution path.
Melbourne-builtFocused engineering and research for enterprise governance.
SPQR Research
Research behind the control plane.
Public technical and jurisprudential work on runtime governance, constitutional AI, verifiable policy enforcement and governed agent improvement.
Selected public workFrom constitutional doctrine to action-boundary control.
Read the papers that explain the ideas behind Praxis, Aegis and the broader SPQR architecture.
Explore SPQR ResearchQuestions before the call
The useful distinctions.
What is the difference between Praxis and Aegis?
Praxis supports policy assessment, evidence review and remediation. Aegis makes independent runtime authority decisions for governed actions. An integrated enforcement point must apply the decision before an effect occurs.
Do we have to buy or deploy both?
No. Start with the problem you have. A policy assessment is not an automatic commitment to runtime deployment. An Aegis discussion starts with a real workflow and its existing controls.
What happens in the first conversation?
Bring a policy-assurance task or one consequential workflow. The first conversation is a fit-and-scope review, not a production integration or an enterprise purchasing commitment.
One clear next step
One problem. One useful next step.
Choose a policy scope discussion, an authority review or a research methods conversation. No need to begin with the whole platform.
One workflow. Defined scope. A decision about fit.