AI Workpaper Automation
Turn client documents, policies, controls, evidence, and data rooms into reviewer-ready workpapers, reports, and source-backed insights.
Workflow Value
More than 70% of many engagement cycles can disappear into consolidation, evidence gathering, and workpaper preparation. Juniors copy from PDFs into Excel templates, seniors review repetitive output, and partners wait for client-ready decks.
Policy-to-control mapping, gap analysis, evidence review, ToD / ToE notes, diligence red flags, and source-backed reporting can all be drafted for human review.
We do not replace your templates. We learn your control library, map your review process, and build AI workflows that draft into your exact workpaper format.
Workflows can run in private, client-approved environments with client data isolation, role-based review, audit trails, and controlled exports.
Agent Workflow Architecture
Every solution is implemented as a controlled workflow, not a loose chatbot. The agent operates inside approved data scopes, produces inspectable outputs, and routes judgment back to the right human owner.
Define the exact workflow, input sources, business rules, user roles, output format, and what the AI agent is allowed to do.
Pull only approved documents, records, ERP context, control libraries, or playbooks before the agent drafts or acts.
Generate findings, matrices, notes, SQL-backed answers, or queues with source references, exception reasons, and confidence signals.
Measure reviewer edits, pass/partial/fail outcomes, time saved, exception quality, and adoption before moving to adjacent workflows.
Workflow Scope
The workflow starts with one painful, repeatable use case, then expands only when reviewers and operators trust the source-backed output.
Teams with document-heavy client delivery workflows and repetitive senior review bottlenecks.
Repeatable work that can be drafted with source citations before human review.
Reviewer-ready artifacts shaped to your templates, evidence standards, and client delivery format.
Delivery Design
Each solution page breaks the buyer workflow into operating steps, reviewer controls, and pilot-fit criteria a serious business team would ask about.
Select one workpaper and define the reviewer standard.
Ingest representative policies, controls, evidence, data-room files, or prior workpapers.
Extract facts, map sources, and draft the first-pass workpaper sections.
Route outputs through reviewer approval and export to your template.
Controls that keep AI as a drafting layer and preserve professional judgment.
Signals that this workflow is ready for a focused 30-day pilot.
Related Workflows
Most successful pilots start narrow, then expand into neighboring workflows once reviewers trust the output.
FAQ
No. We build around your methodology, templates, review standards, and client delivery formats.
Yes. The workflow is designed so reviewers can trace each output to the supporting document, evidence file, page, or paragraph.
Bring the workpaper, evidence review, or diligence process that consumes the most hours. We will map a practical AI-assisted pilot around your methodology.