Works with your templates
We build around your methodology, control libraries, review standards, and workpaper formats.
AI Workpaper Automation
AI workpaper automation for advisory teams.
Turn client documents, policies, controls, evidence, and data rooms into review-ready workpapers, reports, and source-backed insights.
SOC 2 WorkpapersISO 27001 EvidenceControl MappingGap Analysis
70%
Reduction in Manual Review Hours
100%
Source-Cited Outputs
3
Active Advisory Workflow Deployments
30
Days to Working Pilot
+SOC 2 Workpapers+ISO 27001 Evidence+Control Mapping+Gap Analysis+Test of Design+Test of Effectiveness+Diligence Review+Policy Review
+SOC 2 Workpapers+ISO 27001 Evidence+Control Mapping+Gap Analysis+Test of Design+Test of Effectiveness+Diligence Review+Policy Review
The problem
Advisory delivery is still too manual.
Consultants still spend too much engagement time consolidating files, chasing evidence, comparing policies, inspecting screenshots, and drafting repetitive workpapers before senior judgment can begin.
Works with your templates
We build around your methodology, control libraries, review standards, and workpaper formats.
Reviewer-ready outputs
Source-backed findings, not chatbot responses. Every output ties back to the client document and paragraph.
Human reviewers stay in control
AI drafts the first pass. Your senior reviewers check, edit, and approve before anything goes to the client.
The solution
Dotnitron builds AI workflows around your firm's delivery process.
We do not force your team into a generic platform. We learn your methodology, templates, review standards, and client delivery expectations, then automate the repeatable work around them.
Reviewer-ready outputs
Source-backed findings, not chatbot responses. Every output ties back to the client document and paragraph.
Human reviewers stay in control
AI drafts the first pass. Your senior reviewers check, edit, and approve before anything goes to the client.
Example workflows
From client documents to reviewer-ready workpapers.
Start with one painful engagement workflow: control mapping, evidence review, ToD / ToE support, diligence review, or reporting.
Why Dotnitron
Built for advisory teams, not generic AI demos.
Our work is shaped around source-backed findings, human review, private deployment options, and the reality that every firm has its own methodology.
01
Built for advisory teams, not generic AI demos
We focus on the repetitive work inside compliance, diligence, risk, cyber, and audit support engagements.
02
Works with your templates and methodology
Your workpapers, control libraries, review language, and client delivery standards shape the workflow.
03
Every finding ties back to source evidence
Outputs include citations to the document, page, paragraph, evidence file, or source record that supports the conclusion.
04
Can run in private, client-approved environments
We design for client confidentiality, data isolation, reviewer permissions, and audit trails from day one.
Our Process
A 30-day path from painful workflow to working pilot.
We stay narrow, learn the exact reviewer standard, and measure whether the workflow saves real engagement hours.
01
Identify the manual workflow
Which engagement workflow burns the most hours? We start with the workpaper, evidence, or review loop your team wants to automate first.
02
Map your methodology
We learn your templates, control libraries, playbooks, quality standards, and reviewer approval process.
03
Build the AI-assisted workflow
We create the document intake, source-backed extraction, review interface, and export to your workpaper format.
04
Deploy and measure
Your team tests it on real engagements. We measure hours saved, reviewer edits, exception quality, and rollout fit.
Capabilities
InsightGale and SemeLabs, reframed for advisory delivery.
InsightGale supports document workflow automation for workpapers. SemeLabs supports governed advisory analytics. Pelestra remains available when data readiness or private repository review is part of the build.
Advisory Workpaper Layer
InsightGale
Document workflow layer for advisory workpapers. It helps teams turn client policies, controls, evidence, contracts, and data rooms into structured, source-cited review outputs.
Advisory Analytics Layer
SemeLabs
Governed analytics for advisory workflows. It helps teams ask controlled questions of engagement data and convert analysis into reviewer-ready outputs.
Data Readiness Layer
Pelestra
A secondary layer for private data discovery, access review, and deployment readiness when advisory workflows involve sensitive repositories.
Comparison
Where Dotnitron fits in the advisory AI stack.
The wedge is not another one-size-fits-all platform. It is a custom workflow build around your existing delivery process.
Dotnitron vs compliance platforms
Vanta and Drata help companies manage their own compliance programs. Dotnitron helps advisory firms deliver compliance, cyber, diligence, risk, and audit-support work for clients.
Dotnitron vs generic AI agencies
Generic AI agencies often start with demos. Dotnitron starts with your workpaper, evidence standard, reviewer loop, and client delivery template.
Dotnitron vs full audit platforms
Fieldguide can standardize your process. Dotnitron builds AI workflows around the process, templates, and methodology your firm already uses.
Dotnitron vs model providers
Model providers supply AI capability. Dotnitron designs the intake, review, citation, approval, export, security, and measurement workflow around advisory delivery.
Case studies
Advisory workflow automation in practice.
Anonymized examples of workpaper, diligence, compliance, and private markets document automation.
Compliance AutomationBuilding AI capabilities for a large advisory firm's cyber compliance automation initiative
Supporting an internal compliance automation initiative in active development, focused on evidence intake, control mapping, and reviewer-ready cyber compliance workpapers.
Open case study
Due Diligence AutomationSupporting automated due diligence workflows for a US advisory team
Built AI-assisted review flows that help diligence teams process large data rooms, surface red flags, and prepare memo-ready findings with source citations.
Open case study
Private Markets Document WorkflowsAI document workflows for private markets advisory
Created document-heavy workflow automation for private markets advisory use cases where teams needed faster extraction, review, and reporting across confidential client materials.
Open case studyFAQ
Questions advisory buyers ask first.
How the workflow fits your methodology, evidence standards, security model, and reviewer process.
What does Dotnitron automate for advisory teams?
We automate document-heavy delivery workflows such as workpaper drafting, policy-control mapping, gap analysis, evidence review, ToD / ToE notes, diligence red flags, and client-ready reporting.
Is Dotnitron a compliance platform like Vanta or Drata?
No. Those platforms help companies manage their own compliance programs. Dotnitron helps advisory firms deliver compliance, cyber, diligence, risk, and audit-support work for clients.
Do we need to replace our existing templates?
No. The point is to keep your methodology. We learn your workpaper formats, control libraries, review standards, and export requirements, then build AI workflows around them.
Can outputs be traced back to source evidence?
Yes. Reviewer-ready outputs include links or references back to the client document, evidence file, page, paragraph, or source record used for the finding.
Will AI send conclusions directly to clients?
No. AI drafts the first pass. Your consultants and senior reviewers inspect, edit, approve, and decide what becomes client-facing.
Can this run in a private environment?
Yes. We can design workflows for private cloud, tenant-isolated, or client-approved environments with role-based access, audit trails, and data isolation.
What is the best first workflow to automate?
Start with the engagement step that consumes the most junior hours and creates the most senior review friction, usually evidence review, gap analysis, workpaper drafting, or diligence document triage.
Is your team still spending weekends on workpapers?
Pick one manual advisory workflow and we will map how to automate it into reviewer-ready, source-backed outputs.