Company records and filings
Review incorporation records, statutory filings, annual returns, resolutions, and supporting documents against a defined checklist.
Secretarial Due Diligence AI
Automate the repetitive document checks inside secretarial due diligence.
Dotnitron helps diligence teams turn filings, registers, board records, and company documents into structured findings with missing-document flags, source references, and reviewer approval.
Why It Matters
Diligence teams lose time when every company file becomes a manual reconstruction exercise.
The risk is not only slow review. It is missed documents, inconsistent findings, repeated checklist work, and delayed deal or compliance decisions.Registers and governance records
Extract and compare director, shareholder, charge, meeting, and compliance register information across document sets.
Missing document and inconsistency flags
Identify absent filings, mismatched dates, unsupported claims, unexplained changes, or documents that need senior review.
Source-backed diligence summaries
Prepare reviewer-ready findings with source references for diligence reports, issue lists, and client-ready summaries.
Pilot Scope
Start with one diligence checklist and one document set.
A practical pilot should prove whether the system can reduce manual review time while preserving senior judgment, source visibility, and final reviewer control.Define
Agree the checklist, document types, expected fields, exception categories, and reviewer approval path.
Process
Run the document set through extraction, comparison, missing-document checks, and issue classification.
Validate
Review source-backed outputs, score accuracy, capture gaps, and decide whether to expand.
When It Becomes Urgent
Secretarial due diligence AI matters when manual reconstruction starts delaying decisions.
The strongest use case is not a generic document summarizer. It is an agent workflow that can run a defined diligence checklist, preserve source evidence, and keep senior reviewers in control.The checklist keeps changing by engagement
Teams need a workflow that can adapt to the diligence scope while still preserving a standard review method, exception taxonomy, and approval path.
Company records are scattered
Filings, registers, resolutions, board minutes, charge documents, and supporting evidence often live in different folders and formats.
Senior reviewers repeat the same checks
High-value reviewers should focus on judgment and exceptions, not repeatedly reconstructing basic facts from documents.
Findings need to be defensible
Diligence outputs are only useful when every issue, missing item, or inconsistency can be traced back to the supporting document.
Agent Workflow Layers
From company document set to reviewer-ready diligence findings.
Dotnitron maps the diligence method before automation, then implements the document review, checklist execution, exception routing, and reporting workflow around it.Document inventory
Classify available filings, registers, board records, resolutions, and supporting documents against the agreed diligence request list.
Checklist execution
Extract required facts, compare them across documents, identify missing records, and produce exception categories for reviewer triage.
Source-backed issue list
Generate findings with page-level or document-level references so reviewers can verify every item before it reaches a report.
Reviewer-approved output
Export approved findings into issue lists, diligence summaries, workpapers, or client-ready reporting formats.
Technology partnership
Build with an OpenAI Select Partner.
Recognized by OpenAI for helping organizations build, deploy, and scale AI solutions.Have something in mind?