ToD / ToE Support

AI support for Test of Design and Test of Effectiveness workflows.

Draft control-by-control ToD and ToE assessments from control descriptions, client documentation, and evidence for human reviewer approval.

What changes for your team

Move from repetitive work to decisions people can stand behind.

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.

Draft Test of Design assessments

AI reads the control objective, risk, policy language, and process documentation, then drafts whether the control appears designed to mitigate the stated risk.

Draft Test of Effectiveness notes

AI reviews evidence samples and operating records to draft whether the control appears to have operated consistently during the period.

Exceptions go to human reviewers

Potential exceptions, unsupported claims, missing samples, or inconsistent evidence are routed to reviewers with source references.

How it works

More than a chatbot on top of your documents.

The system works with approved data and tools, shows where important answers came from, handles exceptions, and brings the right person in when judgment is required.

Define the job clearly

Agree on the work, information, business rules, user roles, desired output, and what the AI is allowed to do.

Use the right information

Bring in only the approved documents, records, business data, control libraries, or playbooks needed for the task.

Make answers easy to check

Give your team findings, matrices, notes, data-backed answers, or work queues with sources and clear reasons for exceptions.

Measure before expanding

Track edits, accuracy, time saved, exception quality, and adoption before applying the system to more work.

Designed around your team

Fit the system to the way good work already happens.

Start with one recurring problem. Keep the parts of your process that require expertise, and improve the preparation and handoffs that slow people down.

Who this is for

Teams with repeatable client delivery workflows and repetitive senior review bottlenecks.

  • IT audit teams
  • SOC 2 advisory teams
  • GRC consultants
  • Internal control review teams

What we prepare

Repeatable work that can be prepared with source citations before human review.

  • Control context assembly
  • ToD draft notes
  • ToE draft notes
  • Exception flagging
  • Reviewer approval flows

Outputs

Reviewer-ready artifacts shaped to your templates, evidence standards, and client delivery format.

  • ToD assessment drafts
  • ToE assessment drafts
  • Exception summaries
  • Source-backed control notes

What your team sees in practice

Clear steps, clear controls, and a clear role for people.

Your team can see how work moves through the system, where review is required, and what should be tested before the system is used more widely.
01

Bring together control descriptions, risk statements, policies, procedures, samples, and evidence.

02

Draft Test of Design notes from the control context and supporting documentation.

03

Draft Test of Effectiveness notes from operating evidence and sample support.

04

Escalate exceptions, unsupported claims, and inconsistent evidence for reviewer approval.

Reviewer controls

Controls that keep AI as a drafting layer and preserve professional judgment.

  • Separate ToD and ToE draft areas
  • Exception and sample issue flags
  • Assessment language matched to firm style
  • Reviewer approval history

A good place to start

The conditions that make this work suitable for a focused first release.

  • Controls repeat across engagements
  • Testing criteria are explicit
  • Evidence samples are available
  • Reviewers spend time rewriting junior notes

Related ways to use it

Where your team could go next.

Once the first use case works well, the same trusted information and review patterns can support related work.

FAQ

Frequently asked questions

Can the assessment language match our firm style?

Yes. We train the workflow around your phrasing, review conventions, and workpaper format.

Can reviewers override AI drafts?

Yes. Human review, editing, and approval are core parts of the workflow.

OpenAI Select Partner

Technology partnership

Build with an OpenAI Select Partner.

Recognized by OpenAI for helping organizations build, deploy, and scale AI solutions.
See how we approach security

Have something in mind?

Which recurring task is taking too much of your team's time?

Tell us about the review, diligence, reporting, data, or document work you want to improve. We will help you find a practical place to start.