HomeProblemsThe evidence backlog.

The evidence backlog.

ProdagoClear the evidence review bottleneck

For the teams who own controls and the evidence attached to them: receive evidence in the expected form, review it against the control, faster, with a result you can trace. The reviewer decides; the platform prepares.

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Recognize it

What it looks like in your organization

Where it stalls

The decisions that stall

Is this evidence acceptable for this control?

The answer depends on the reviewer, the day and the volume. Consistency is expected, and hard to demonstrate.

What to ask for when it is not?

Each return trip costs a week. Without a precise finding, the submitter guesses what was missing.

Which reviews can go faster without lowering the bar?

Everything looks equally important, so nothing gets prioritized, and the backlog is managed by seniority of the requester.

What changes

What Prodago automates here

1

Evidence defined per control

Each control carries the evidence it requires and the template for it, so what arrives is what was asked for, in the expected form.

2

A graded finding before the review starts

Each piece of evidence is pre-assessed against the control’s requirements: located, verified, and graded (pass, partial, fail, not found), with the reason and the trace to the requirement text. The reviewer starts from a finding, not from a blank page.

3

Roles and responsibilities

Who produces, who reviews, who approves, per control, in a matrix that the whole organization sees. No ambiguity about whose turn it is.

4

The review queue and the exception path

Reviews prioritized by risk and by what they block; derogations requested, justified, declined or approved on a defined path.

5

Oversight across the portfolio

The state of every control and its evidence, across initiatives, for the second line, the third line and the committee.

The controls, the evidence and the validations are pre-built in our playbooks, from the regulations and policies your controls come from. The judgment stays with your reviewers.

Outcome

What you get

Speed

Fewer return trips, reviews that start from findings, and a queue that moves.

Confidence

Consistent decisions across reviewers, explainable to the submitter and to the auditor.

Evidence

A complete audit trail per control: what was submitted, what was found, who decided.

Where this applies

All problems6 problems

Make your next AI decision on evidence.

Governance that is already built, automated end to end, so your AI ambition moves at the speed you intended.

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