Workpaper Automation

Prepare advisory workpapers without rebuilding every file by hand.

Turn client documents, policies, controls, evidence, data rooms, and prior workpapers into reviewer-ready drafts that preserve source support, reduce rework, and fit your delivery templates.

Map One WorkflowSee Example Workflows

What changes for your team

Move from repetitive work to decisions people can stand behind.

Advisory delivery leaks margin in preparation work

Engagement teams lose margin when consultants consolidate client files, gather evidence, copy details into templates, chase missing support, and recheck sources before reviewers can apply judgment. The fix is not a generic assistant; it is a preparation workflow that matches the firm's methodology.

What Dotnitron prepares

Policy-to-control mapping, gap analysis, evidence review, ToD / ToE notes, diligence red flags, issue lists, and source-backed reporting can all be prepared for human review.

How it works with your methodology

We do not replace your templates. We learn your control library, map your review process, and build workflows that draft into your exact workpaper format.

Security and deployment

Workflows can run in private, client-approved environments with client data isolation, role-based review, audit trails, and controlled exports.

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.

  • Cyber compliance advisory teams
  • GRC and risk advisory firms
  • IT audit and audit-support teams
  • Diligence and transaction advisory teams

What we prepare

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

  • Client document intake
  • Policy and control extraction
  • Evidence review notes
  • Gap matrices
  • ToD / ToE drafts
  • Source-cited report sections

Outputs

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

  • Reviewer-ready workpapers
  • Source-backed findings
  • Excel or Word exports
  • Review logs and exception summaries

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

Select one workpaper and define the reviewer standard.

02

Ingest representative policies, controls, evidence, data-room files, or prior workpapers.

03

Extract facts, map sources, and draft the first-pass workpaper sections.

04

Route outputs through reviewer approval and export to your template.

Reviewer controls

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

  • Paragraph-level source citations
  • Reviewer edit and approval queue
  • Exception notes before client delivery
  • Export to Excel, Word, PowerPoint, or internal templates

A good place to start

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

  • A repeatable workpaper section exists
  • Your team can share sample templates
  • Review criteria can be described clearly
  • Current effort and reviewer edits can be baselined

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.
Evidence Review AutomationPolicy-Control Gap AnalysisDeal Delivery AI Production Sprint

FAQ

Frequently asked questions

Does Dotnitron replace our workpaper methodology?

No. We build around your methodology, templates, review standards, and client delivery formats.

Can every finding include a source?

Yes. The workflow is designed so reviewers can trace each output to the supporting document, evidence file, page, or paragraph.

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.
Discuss your projectView client work