Aberrant AI

Use case

Compliance Task Management

Recurring deadlines depend on memory and manual status checks.

Workflow model

Normal workflow first. AI assistance only when the path breaks.

Normal workflow

Recurring tasks, due dates, document requests, review states, and escalations are generated by rule.

Where the workflow breaks

A deadline, document dependency, or service-specific obligation does not match the normal pattern.

What AI prepares

Summarize deadline risk, recommend escalation, and prepare partner review context.

What humans approve

Compliance filing choices and deadline exceptions require responsible approval.

What becomes a reusable rule

Approved exceptions update recurrence rules, review prompts, and escalation patterns.

Why status quo fails

Manual coordination cannot create reliable control.

Recurring obligations are recreated manually.

Due dates live in separate spreadsheets.

Review states are not visible to partners.

Escalation happens after deadlines are already close.

Workflow Layer

The workflow becomes a controlled sequence.

Generate recurring tasks from compliance calendars with owner, due date, review, and escalation logic.

Calendar configured
Task generated
Owner assigned
Documents requested
Review completed
Exception escalated

Core features

What the system needs to do.

Compliance calendar

Recurring task engine

Document request flow

Review dashboard

Escalation rules

Connected tools

Tools that can participate in the flow.

CA practice systemGoogle WorkspaceMicrosoft 365WhatsAppDashboards

Expected outcome

Lower deadline risk and better partner visibility.

01

Implementation

Map services and obligations

02

Implementation

Define recurrence rules

03

Implementation

Set review and escalation states

04

Implementation

Pilot with selected clients

Next action

Build Compliance Control

Tell us where this workflow currently breaks. We will map the AI assistance, approval gates, and first build path.