Method

Control defined before the first automated decision.

Approval for production, autonomy levels and delegation of authority: what goes into production, what AI decides on its own, and what stays with people.

Control Model

Three mechanisms, one question each.

  1. When does the solution go into production?

    Approval for production

    Five criteria verified with evidence before any real effect: functional, quality, security and data, governance and operations.

  2. What does AI decide on its own?

    Autonomy levels

    Set by decision type, from L0 (shadow) to L3. They only rise with evidence and step back if quality drops.

  3. What stays with people?

    Delegation of authority

    A matrix by value and risk that you approve. AI only decides within it.

Approval for production

Five criteria before any real effect.

  • Functional

    Real cases complete the flow end to end.

  • Quality

    Error within the threshold, measured in shadow mode.

  • Security and data

    Access, environment and data handling in line with LGPD.

  • Governance

    Approved approval limits, a live audit trail and named owners.

  • Operations

    Runbook, monitoring, exception handling and handover.

Approval outcome

ApprovedApproved with restrictions (limited initial level)Not approved
Autonomy levels

Autonomy is set by decision type, not by process.

LevelAI doesPeople do
L0 ShadowRuns in parallel, with no effectDecide and act; we measure agreement
L1 AssistedProposes with a rationaleApprove every case
L2 SupervisedDecides within the limitReview a sample and approve what exceeds the limit
L3 Autonomous by exceptionDecides within the limitHandle exceptions and audit

A level only goes up with a minimum case volume, an error rate below the agreed threshold, no critical violation and the owner's approval. If quality drops, the level goes back down. Thresholds are set in Mapping.

Delegation of authority

What stays with people, by value and risk.

The client approves the matrix. Alltera configures it and makes sure it is respected and auditable.

Illustrative example

Decision typeLow riskMedium riskHigh risk
Posting a reconciled paymentAIAIAnalyst
Adjusting a mismatchAIAnalystManager
ReversalAnalystManagerExecutive
The model across the four solutions

From Mapping to governance.

  1. Map & Decide

    Decision types, proposed initial level and a draft approval matrix.

  2. Build & Integrate

    Builds, runs in shadow mode (L0) and goes to approval for production.

  3. Run & Improve

    Moves levels up or down on evidence and reports quality, exceptions and cost.

  4. Govern & Scale

    Standardizes approval limits and autonomy levels across processes.

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