Zeovoice
Governed by design

The AI can reason. Zeovoice controls what it is allowed to do.

Zeovoice separates model intelligence from execution authority. Consequential actions pass through explicit capabilities, resource-scoped permissions, deterministic policy, human approval where required, and durable evidence.

AUTHORITY BEFORE AUTONOMY

Give the employee judgment. Keep control of the boundaries.

Zeovoice separates reasoning from authority. The model can understand a request and propose a next step. Deterministic policy decides whether that action executes, waits for a person, or stops.

REASONING

Adaptive intelligence

Understand intent. Use approved knowledge. Propose the next useful action.

AUTHORITY

Explicit control

Capability → permission → policy → approval → action → evidence.

AUTHORITY SANDBOX

Move the amount.
Watch authority change.

A model can understand a refund. It should not decide its own refund limit. Zeovoice evaluates the employee’s explicit policy before execution.

$0$247$1,000
LIVE POLICY DECISIONREQUIRE APPROVAL

Inside the approval band. The action waits for a person.

Refund $247 → REQUIRE APPROVAL → hold for human decision → record evidence

ALLOW≤ $100APPROVAL$101–$500BLOCK> $500
Example authority

A support employee should not invent its own refund limits.

The business defines the authority. Zeovoice enforces it outside the model.

Refund policy example

  • May look up orders
  • Refund ≤ $100 → allow
  • $101–$500 → require manager approval
  • Refund > $500 → deny
  • Every attempted action → evidence
PROOF-OF-WORK EXPLORER

Start with the outcome. Trace it back to the rule.

A transcript tells you what was said. Evidence tells you why the action happened and whether it was authorized.

01 · CUSTOMER REQUEST

“Can you refund $247 for the damaged order?”

Natural language becomes a structured business request.

Run this approval yourself ↗