Death by screenshot slows every engagement
Cyber compliance teams still collect screenshots one by one from cloud consoles, SaaS tools, policies, tickets, and shared folders before a reviewer can assess support.
Cyber Compliance Workpapers
AI workpaper automation for cyber compliance teams.
Automate evidence intake, control mapping, screenshot review, and reviewer-ready compliance workpapers without abandoning your methodology.
Workflow Value
From dense data to defensible action.
Evidence is scattered across client systems
Jira, Confluence, email, SharePoint, Slack, ticketing systems, and local folders all contain fragments. Dotnitron builds a governed intake and review flow around those realities.
Control-to-regulation mapping becomes repeatable
We map policy language and evidence to SOC 2, ISO 27001, HIPAA, or your proprietary control library, then draft workpaper notes with source citations.
Reviewers keep final control
AI drafts exceptions, missing evidence notes, and preliminary support conclusions. Your reviewers approve, edit, and decide what moves to the client.
Workflow Scope
Built around your engagement delivery process.
The workflow starts with a narrow advisory use case, then expands only when reviewers trust the source-backed output.
Who this is for
Teams with document-heavy client delivery workflows and repetitive senior review bottlenecks.
- SOC 2 advisory firms
- ISO 27001 consultants
- GRC firms
- IT audit teams
- vCISO firms
What we automate
Repeatable work that can be drafted with source citations before human review.
- Evidence intake
- Screenshot indexing
- Control mapping
- Policy review
- Exception notes
- Compliance workpaper drafts
Outputs
Reviewer-ready artifacts shaped to your templates, evidence standards, and client delivery format.
- Control-by-control workpapers
- Evidence sufficiency summaries
- Missing evidence lists
- Framework crosswalks
Delivery Design
What the workflow looks like in practice.
Each solution page breaks the buyer workflow into operating steps, reviewer controls, and pilot-fit criteria a real advisory team would ask about.
01
Collect control descriptions, request lists, policies, screenshots, and ticket exports.
02
Normalize evidence by control, framework, system, and review period.
03
Draft cyber compliance workpaper notes with missing-evidence and exception flags.
04
Route drafts to senior reviewers before any client-facing output.
Reviewer controls
Controls that keep AI as a drafting layer and preserve professional judgment.
- SOC 2 and ISO 27001 mapping views
- Evidence sufficiency flags
- Screenshot and ticket source references
- Human sign-off before reporting
Good pilot fit
Signals that this workflow is ready for a focused 30-day pilot.
- Evidence is scattered across tools
- Screenshots consume reviewer time
- Control mapping repeats across engagements
- The team already has workpaper templates
Related Workflows
Where teams usually expand next.
Most advisory pilots start narrow, then expand into neighboring workflows once reviewers trust the output.
FAQ
Frequently asked questions
Can this handle screenshots and PDFs?
Yes. We can design intake flows for screenshots, PDFs, spreadsheets, ticket exports, and policy documents.
Which frameworks can be mapped?
Common starting points include SOC 2, ISO 27001, HIPAA, and custom control libraries maintained by your firm.
Automate one advisory workflow.
Bring the workpaper, evidence review, or diligence process that consumes the most hours. We will map a practical AI-assisted pilot around your methodology.