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    How we work

    How We Work

    When policies, system settings and day-to-day practice do not line up, you need to understand the gap. We help implement controls or independently review them, using records and testing to explain findings and practical next steps.

    audit criteria, an evidence bundle and a procedure worksheet under review.

    Two kinds of work

    Helping you implement, and reviewing independently

    Implementation help
    Writing policies and procedures, designing and setting up controls, building risk registers and AI inventories, closing audit findings and training staff. We work alongside your team; management approves and owns the result.
    Independent review
    Gap assessments, internal audits, AI governance and security reviews, IT risk reviews and due diligence. We inspect policies and system records, test selected samples and report findings, including missing records that limit a conclusion.
    Keeping them separate
    Implementation support helps management change policies and controls; independent review evaluates those controls. Earlier involvement is considered before accepting review work. Independence and limitations

    Four stages

    How an independent review runs

    Assess, test, report, recommend. Select a stage in the diagram to see what happens in it; the inputs and who decides at each stage are in the optional detail below.

    Example

    Stage 1 of 4 · Assess

    Assess

    Understand the workflow and risks, identify relevant systems and records, and plan the period and depth of testing.

    You receive: A scope memo, assessment plan and evidence request list.

    See the sample deliverable
    Assess the risks, test selected records, report findings and recommend actions. Management decides how to respond.
    Stage inputs and who decides
    Assess
    Inputs: Your assurance question, system boundaries, risk concerns, applicable criteria and available documentation. Who decides: The engagement professional proposes the review plan; the client identifies the systems involved and the people responsible for records.
    Test
    Inputs: Policies, system configuration, approvals, logs and other records covering the review period. Who decides: The engagement professional evaluates evidence sufficiency, challenges explanations and determines what the procedures support.
    Report
    Inputs: Test results, criteria, exceptions, contextual explanations and evidence limitations. Who decides: The responsible engagement professional reviews and approves conclusions. Management can clarify facts but does not replace professional judgment.
    Recommend
    Inputs: Findings, risk context, dependencies and management priorities. Who decides: The engagement professional owns the recommendations; client management decides which actions to take and remains responsible for implementation.

    How evidence is classified

    A written policy, a configured control and a record of successful operation answer different questions. We do not turn self-report or a completed checklist into a tested control conclusion. Evidence gaps and observed failures are also distinguished: missing records may limit a conclusion without establishing what happened.

    Design

    Whether the stated control could address the identified risk if performed as intended.

    Fictional example — A release policy requires an independent reviewer before production deployment; we evaluate the rule and its coverage, not assume it was followed.

    Implementation

    Whether the control has been put in place in the environment reviewed.

    Fictional example — Inspection shows a required review gate configured for the selected repository; configuration alone does not demonstrate its operation throughout the period.

    Operating effectiveness

    Whether the control worked as intended for the period and sample actually tested.

    Fictional example — Sampled releases show the required approval before deployment; the conclusion is limited to those procedures, records and samples.

    Evidence not available (unknown)

    The necessary evidence is missing, inaccessible or insufficient to answer the control question.

    Fictional example — Approval history is unavailable for a selected release; we cannot conclude that approval occurred, even if the policy requires it.

    Preparation and review

    Tools support the working file.

    Our team uses its own tools to organize evidence and draft analysis; a qualified professional reviews every file before it reaches you.

    Technology we use

    Fictional example excerpts only

    Sample deliverables

    Short fictional excerpts that show the structure of a scope statement, an evidence request and a finding. Nothing here is client evidence.

    Company names and figures are invented.

    Scope statement: fictional application review

    Excerpt · Scope statement

    Scope statement: Juniper Freight Analytics (fictional)

    Review approval and release controls for one AI-assisted routing application during a fictional one-month period. Inspect the release policy and repository gate configuration, then compare selected approval timestamps with deployment timestamps. Model accuracy, other applications and third-party infrastructure are outside this review.

    Evidence request row: source, owner & limitation

    Excerpt · Evidence request list

    Evidence request row

    Request
    Reviewer approval and deployment timestamp for a selected release.
    Owner
    Application release owner (fictional role).
    Period
    The fictional one-month review period.
    Source
    Repository approval history and deployment log.
    Status
    Requested; not yet received.
    Purpose
    Compare approval time with release time.
    Sensitivity
    Restricted engineering metadata; redact secrets and unrelated personal details.
    Limitation
    A current screenshot alone cannot demonstrate historical approval.

    Sample finding

    Release before independent approval

    Link 1 of 4 · Criterion

    A fictional operating-effectiveness exception links the release policy to a deployment record, its risk implication and a proposed next action. This is not client evidence or a quantified result.
    Full fictional finding context

    Excerpt · Finding

    Finding: release before independent approval

    Classification: operating-effectiveness exception in the fictional sample.

    Condition
    One sampled release was deployed before the recorded independent approval.
    Criteria
    The fictional release policy requires a reviewer, independent of the developer, to approve each change before deployment.
    Cause
    The fictional configuration review identified a manual deployment path that did not enforce the approval gate.
    Effect
    An unreviewed change could reach production; this example does not establish an incident or quantify loss.
    Recommendation
    Restrict the bypass path, define any emergency approval procedure and retain records demonstrating that approval precedes release. Test subsequent operation in a later review.

    Recommended action

    Require independent approval on the manual release path, define emergency changes and retain the approval record. Management assigns an owner and completion date; a later review checks the change.

    Independence and limitations

    We disclose potential conflicts, including earlier implementation work on the policies or controls being reviewed. We accept the audit only when the necessary independence can be maintained.

    The report explains what the review can support and where records are missing. Findings are not legal advice or a guarantee of external acceptance.

    Conclusions describe the systems, period, criteria and samples tested. If records are insufficient, we explain what remains unknown and what further information would be needed.

    The next step

    Questions about how we would work with you?

    Tell us the situation and the systems involved. We reply by email with how we would help and who would do the work.