01 / AUTHORITY
Who is allowed to act?
Make identity, delegated authority and permitted scope explicit for the proposed action.
TrustCore AI Systems Oy / Finland
Control before
consequence.
TrustCore builds governance and action-boundary infrastructure for agentic AI: identity-bound authorization, deterministic routing, fail-closed enforcement and auditable human final gates.
A recommendation is not permission. A correct answer is not authority to act.
Identity-bound authorizationPolicy-bound routingHuman final gatesReviewable evidence
The execution boundary
Capability answers “can”.
Governance asks “may”.
When an AI system can change a file, call a tool or affect a customer, output quality is only part of the question. Authority, scope and current conditions matter before the action happens.
02 / CONSEQUENCE
Can it still be refused?
Place the control where an action can be stopped, reviewed or constrained before it affects another system.
03 / EVIDENCE
What will prove the decision?
Preserve the reason for permission or refusal, and distinguish that decision from the execution outcome.
Pilot tracks
Three directions.
One workflow at a time.
We are developing focused pilot tracks around tool actions, remediation and routing. Each starts with an agreed scope and evidence requirements — not a claim of completed customer deployment.
01 / FINAL GATE
Controlled tool actions
Define who may authorize a selected tool action, what it may affect and when execution must stop. Evaluate the boundary and the record it leaves.
Explore this track02 / GOVERNED REMEDIATION
Governed remediation
Explore AI-assisted code remediation in an isolated workflow. Review the change and its validation results before a human authorizes merge or deployment.
Explore this track03 / FLOWROUTER
Policy-bound routing
Explore how one workflow can continue, request verification, escalate or stop under a defined policy. Make routing decisions visible for review.
Explore this trackThe company
Built in Finland.
Focused on the boundary.
TrustCore AI Systems Oy is a Finnish AI infrastructure company developing runtime governance, controlled execution and evidence before consequence.
Founder-led systems engineering, with a practical starting point: one consequential workflow, a named decision owner and a control boundary that can be evaluated.
Meet TrustCore“Where does your organization currently prove that a good AI recommendation is also permitted to act?”Governance Before Decision · Public Preview
Evidence, with its scope attached
Show what was tested.
Name what was not.
A visible STOP label is not enough to prove an action was prevented. An evidence review needs the scope, conditions, execution outcome and limitations of the actual run.
Our evidence approachA control principle
AI may propose. Authority must remain explicit. The final opportunity to refuse belongs before consequence.