Each control repeats the same review pattern
Teams read the control description, inspect policy and procedure documents, review evidence, then write assessment notes for design and operating effectiveness.
ToD / ToE Support
Draft control-by-control ToD and ToE assessments from control descriptions, client documentation, and evidence for human reviewer approval.
What changes for your team
Teams read the control description, inspect policy and procedure documents, review evidence, then write assessment notes for design and operating effectiveness.
AI reads the control objective, risk, policy language, and process documentation, then drafts whether the control appears designed to mitigate the stated risk.
AI reviews evidence samples and operating records to draft whether the control appears to have operated consistently during the period.
Potential exceptions, unsupported claims, missing samples, or inconsistent evidence are routed to reviewers with source references.
How it works
Agree on the work, information, business rules, user roles, desired output, and what the AI is allowed to do.
Bring in only the approved documents, records, business data, control libraries, or playbooks needed for the task.
Give your team findings, matrices, notes, data-backed answers, or work queues with sources and clear reasons for exceptions.
Track edits, accuracy, time saved, exception quality, and adoption before applying the system to more work.
Designed around your team
Teams with repeatable client delivery workflows and repetitive senior review bottlenecks.
Repeatable work that can be prepared with source citations before human review.
Reviewer-ready artifacts shaped to your templates, evidence standards, and client delivery format.
What your team sees in practice
Bring together control descriptions, risk statements, policies, procedures, samples, and evidence.
Draft Test of Design notes from the control context and supporting documentation.
Draft Test of Effectiveness notes from operating evidence and sample support.
Escalate exceptions, unsupported claims, and inconsistent evidence for reviewer approval.
Controls that keep AI as a drafting layer and preserve professional judgment.
The conditions that make this work suitable for a focused first release.
Related ways to use it
FAQ
Yes. We train the workflow around your phrasing, review conventions, and workpaper format.
Yes. Human review, editing, and approval are core parts of the workflow.
Technology partnership
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