AI you can govern, not just AI you can use

Regulated organizations don't just ask what AI can do — they ask who approved it, what it's allowed to touch, and how to prove that to an auditor. Avant One is built around that question from the ground up.

OneIQ — the shared engine behind every module

OneIQ is an ingredient brand: one governed AI engine under three module surfaces, not a fourth module.

Incident

ResolveIQ

AI copilot, auto-triage, and QA coaching for case management.

Outreach

EngageIQ

Next-best-action, churn prediction, and campaign optimization.

Collect

RecoverIQ

Collections strategy, conversational AI, and recovery QA.

Deny-by-default, every feature, every role

No OneIQ capability runs until it's explicitly enabled — role by role, and organization by organization.

Coaching, consistently, across every function

QA scoring and coaching run across Incident, Outreach, and Collect, so quality standards are scored and coached the same way.

Every AI action is logged and attributable

OneIQ-assisted replies, auto-triage decisions, QA scores, and outreach recommendations are tied to the action they informed.

Human approval stays in the loop where it matters

Higher-autonomy actions are configurable to require human review before they execute.

How governance is built in

AI access is controlled at multiple layers, so organizations can match autonomy to risk and regulator expectations.

1

Organization-level policy

Admins set which AI capabilities are permitted at all, independent of any individual role.

2

Role-level permissions

Each role receives only the AI features they need — default off, granted explicitly.

3

Action-level logging

Every AI-assisted decision is recorded with context, input, output, and the user who approved or triggered it.

4

Human-in-the-loop gates

High-autonomy actions can require explicit approval before execution, with configurable thresholds.

Talk to us about AI governance

See how Avant One's deny-by-default AI model fits your compliance and risk requirements.