Continuous Evidence of Control Effectiveness

Pyze measures how contract, compliance and control work is performed, and produces the evidence an auditor asks for as a standing output.

100%
of executions scored, rather than a sample
1 week
to instrument
0
PII or content captured
Continuous
audit evidence, generated continuously

Engagement archetypes from Pyze deployments across compliance and controls operations rather than a single named account.

Legal and compliance functions carry documentation obligations that are expensive to meet and difficult to evidence. Control testing samples a handful of cases a year, which is the available method when the remaining cases are not measured.

Common Findings in Legal & Compliance

Four patterns that recur across engagements, each shown with the measurement and the resulting change.

Controls are tested on a sample that may not be representative.

Standardize
What the measurement shows

Every execution is scored against the documented standard, so conformance is a population measure rather than an inference from twenty cases.

What changes

Testing effort moves from establishing what happened to investigating what the measurement flagged.

Contract review is a bottleneck with a persistent queue.

Agentify
What the measurement shows

Most reviews follow a documented playbook and a minority need judgement, and both take the same route.

What changes

Playbook review handled with the position drafted, and genuine judgement reaches a lawyer already prepared.

Audit preparation pulls the team off work for weeks.

Automate
What the measurement shows

The evidence already exists in the execution record and is being reassembled by hand each cycle.

What changes

The audit trail becomes a standing output of the instrumentation rather than a periodic project.

Policy exceptions are approved inconsistently, and consistency cannot be demonstrated.

Standardize
What the measurement shows

Approval patterns vary by approver in ways the policy does not explain, and the variation is measurable.

What changes

Inconsistency identified and addressed before a regulator identifies it, with the evidence already assembled.

Opportunity Register

A sample register, sorted by the lever that resolves each opportunity. In an engagement, each line carries measured hours, a named owner and the evidence it was derived from.

Control conformance scoring
Standardize
Every execution scored instead of a sample.
Contract playbook review
Agentify
Position drafted against the playbook, judgement retained.
Audit evidence assembly
Automate
A standing output rather than a periodic reassembly.
Policy exception analysis
Standardize
Approval consistency measured across approvers.
Regulatory change mapping
Agentify
Obligations mapped to the controls that carry them.
Obligation monitoring
Automate
Checked continuously against the execution record.
Matter intake triage
Agentify
Classified against stated criteria.
Reviewer load levelling
Rebalance
Load levelled against measured effort.
Automate and Agentify are distinct findings. Scheduling a report is deterministic work with a stated rule. Diagnosing an exception is a decision. Separating the two prevents a register from over-scoping the first and missing the second.

Systems typically instrumented

Contract lifecycle platformsServiceNowGRC platformsDocument managementSharePointExcel and Outlook

Capture covers browser-delivered and thick-client applications, including virtualized estates, with no change to how anyone works.

Roles Involved

Compliance operationsLegal operationsInternal auditControls testingRisk

Instrumentation is configured per application rather than per person, so the population in scope is set during scoping and is not a deployment constraint.

How an Engagement Runs

Baseline, blueprint, transform, prove

The same four stages apply in every sector. The fourth stage repeats the baseline measurement, which makes the engagement an ongoing operating capability rather than a one-time report.

01

Baseline

What the work costs today, measured across every person and application.

02

Blueprint

Procedures, application rules and execution evidence, read as one target state.

03

Transform

Where each of the five levers applies, priced and owned.

04

Prove

The after state measured against the baseline, using the same method.

Frequently Asked Questions

Would a regulator accept this as control evidence?
It is stronger than sampling, because it covers the population rather than a subset, and every score traces to the execution it came from. It supplements rather than replaces a control framework, and the evidence trail is designed to be inspectable.

Start with a measured baseline

Six weeks from instrumentation to a priced opportunity register, and the baseline stays in place so later quarters are measured rather than re-estimated.