AI-assisted compliance, made auditable.
TAIA turns approved AI, compliance, onboarding, risk, screening, and case-review outputs into human-owned, policy-gated, audit-reconstructable evidence. It starts with Swiss financial institutions and extends to other regulated sectors without replacing the systems they already use.
MODEL-AGNOSTIC | SWISS-SOVEREIGN OPTION | HUMAN-OWNED DECISION | AUDIT-RECONSTRUCTABLE
Evidence control for decisions that must be defended later.
WHAT TAIA ADDS
Regulated organisations already have operational systems, approved AI stacks, professional judgement, and sector controls. TAIA wraps their outputs into evidence that a reviewer, auditor, or regulator can reconstruct.
EVIDENCE CONTROL
Approved sources stay visible.
KYC, AML, payment, and policy evidence still lives across tools, exports, and officer notes. TAIA turns those outputs into a single review-ready dossier.
Teams already use approved and unapproved AI tools. TAIA gives each AI-assisted step a runtime, source, and mode record so control teams can govern what happened.
HUMAN-OWNED DECISION
AI prepares. People decide.
AUDIT RECONSTRUCTION
Regulators and auditors need reconstructable evidence: source lineage, policy gates, human rationale, timestamps, and proof artifacts bound into one case record.
Years later, the question is why.
From black-box AI to evidence control.
HOW TAIA WORKS
TAIA works above approved institutional and vendor systems. AI can prepare, compare, retrieve, and recommend, but policy gates control routing and the responsible professional owns the final decision.
1
Collect controlled evidence
Read-only, masked, exported, or synthetic feeds bring source material into a case-level dossier without core write access.
2
Surface source hierarchy
TAIA shows which Swiss regulatory, bank policy, vendor, or officer source shaped the recommendation and how conflicts were handled.
3
Preserve the human boundary
AI-prepared recommendations, second-line input, officer rationale, and final decision stay attributed instead of being blended into one opaque output.
4
Seal an audit bundle
Hashes, timestamps, signatures, source lineage, and contribution traces let auditors reconstruct the decision later.
AI does not decide. TAIA prepares evidence, recommends, controls routing, and seals the human decision.
PRODUCT PRINCIPLE
The first proof path is Swiss financial institutions: onboarding exceptions and high-risk payment reviews. The same evidence-control model applies wherever regulated professionals must explain, approve, and defend AI-assisted decisions.
Banks first, regulated sectors next.
EVIDENCE CONTROL PILOT
WORKFLOW 01
Show why a case was routed, which evidence was missing, what policy gates triggered, and how the human decision was sealed.
Cross-border onboarding exception dossier
WORKFLOW 02
Explain escalation signals, source confidence, officer action, and the audit trail without becoming a payment execution engine.
High-risk payment alert review
OUTPUT01
Source and mode badges, policy-gate reasons, evidence checklist, officer trail, contribution trace, and runtime transparency report.
Review-ready proof bundle
Ready to make AI-assisted compliance auditable?
ZURICH · SWISS REGTECH
Let us validate one onboarding exception and one payment alert as a zero-PII Evidence Control Pilot.