Optro Compliance Evidence Automation 2026
Optro (formerly AuditBoard) runs agentic Autonomous Testing: AI agents run attribute tests across evidence and assemble audit-ready Excel workpapers.
Optro Evidence Automation verdict
Optro, rebranded from AuditBoard in 2026, automates evidence with agentic Autonomous Testing.
AI agents independently run attribute tests across uploaded evidence, such as user access reviews and reconciliations. They process unstructured evidence too, from dense PDFs to video walkthroughs, exactly as a human auditor would, and assemble external-audit-ready Excel workpapers linked to the source.
Plan an Optro rollout around agentic testing and review. Connect your cloud, code, financial, HR and collaboration systems from the 200-plus integrations, so data flows into the system of action. Point Autonomous Testing at your uploaded and unstructured evidence, so AI agents run the attribute tests, such as user access reviews and reconciliations, and assemble audit-ready Excel workpapers linked to source. Plan your team's work to start at the review, using the Excel add-in to check supporting documentation, and use OpsAudit for risk-based auditing and SOX. Budget for the human remainder: reviewing workpapers, setting KRI and KPI strategy, and coordinating stakeholder evidence. The payoff is a reviewer-first workflow where the fieldwork is done by agents.
- AI agents run attribute tests across uploaded and unstructured evidence and assemble audit-ready workpapers.
- More than 200 integrations feed a GRC system of action with real-time insights.
- Workpaper review, KRI and KPI strategy, and stakeholder coordination stay human.
- Testing
- AI agents run attribute tests
- Evidence
- Unstructured: PDFs to video
- Output
- Audit-ready Excel workpapers
- Integrations
- 200+ out-of-the-box
- Workflow
- Reviewer-first
This page covers how Optro collects and tests evidence. Which frameworks it covers and pricing live on their own pages.
How much evidence Optro automates for you
Toggle the systems you run. See what Optro auto-collects evidence from read-only and continuously, and what stays manual no matter your stack.
Pick the systems in your stack to see what Optro auto-collects, and what you still own.
- Reviewing agent-produced workpapers
- Setting KRI/KPI strategy
- Coordinating stakeholder evidence
- Configuring frameworks beyond the 30+
- External assessor for certification
AuditBoard's AI agents test evidence from 200+ connected systems and assemble audit-ready workpapers; reviewing workpapers, KRI/KPI strategy and stakeholder coordination stay yours.
How Optro automates compliance evidence
- AI agents independently run attribute tests across uploaded evidence, like user access reviews and reconciliations.
- It processes unstructured evidence exactly as a human auditor would, extracting and mapping data across files.
- Results feed directly into a GRC system of action that unites raw data with audit workflows.
- 200+ out-of-the-box integrations provide continuous evidence collection from your systems.
- Real-time insights, autonomous testing and a connected view come from Optro's GRC system of action.
Optro automated tests and monitoring
| Aspect | Detail | Notes |
|---|---|---|
| Attribute tests | AI agents, independently | User access reviews, reconciliations |
| Evidence ingestion | Process raw evidence instantly | Dense PDFs to video walkthroughs |
| Output | Audit-ready Excel workpapers | Linked back to source |
| Review | Excel add-in | Directly review supporting documentation |
| System of action | Results centralized | Unites raw data with audit workflows |
| Tech | Midship acquisition | Unstructured evidence processing |
Evidence sources Optro connects
| Integration | Type | Capabilities | Setup |
|---|---|---|---|
| Cloud (AWS/Azure) | Infrastructure | Config + posture evidence · Real-time data | Connect |
| Developer / code | Code | Azure DevOps, Bitbucket · Change evidence | Connect |
| Financial / ERP | Data | Oracle NetSuite, Workday · Reconciliation data | Connect |
| HR / HRIS | People | BambooHR, Workday · Access-review evidence | Connect |
| Collaboration | Workflow | Slack, Teams, Drive · Office | Connect |
| BI / warehouse | Data | Power BI, Tableau · Data warehouse | Connect |
| Ticketing | Workflow | Ticketing apps · Coordinated response | Connect |
| APIs / MCP / SFTP | Custom | DIY APIs, MCP Server · SFTP, analytics DB | Build |
Optro audit workflow and evidence packaging
- With autonomous testing, your work starts at the review, backed by fully documented workpapers.
- Results assemble into external-audit-ready Excel workpapers linked directly back to the source.
- OpsAudit elevates impact with risk-based auditing and SOX assurance.
- An Excel add-in lets reviewers directly review the supporting documentation behind each result.
Continuous monitoring and drift in Optro
| Signal | Cadence | Channel / action |
|---|---|---|
| Risk landscape | Real-time | Real-time insights and connected view |
| Control test | Continuous (agents) | AI agents run attribute tests |
| Integrated data | Real-time | Real-time insights from NetSuite, Workday |
| Critical issue | On detection | Ticketing routes a coordinated response |
| KRI / KPI | Ongoing | Integrate indicators to manage risk and performance |
What still needs manual work in Optro
- Autonomous testing reduces fieldwork, but your work starts at the review of the workpapers.
- KRI/KPI strategy is a human input you integrate to manage risk and performance.
- Stakeholder engagement to gather evidence from business units still requires coordination.
- The framework library is 30+, so frameworks outside it require configuration.
- Audit certification is issued by an external assessor; AuditBoard produces the audit-ready workpapers.
Optro Evidence Automation FAQ
How does Optro automate evidence?
Through Autonomous Testing. AI agents independently run attribute tests across uploaded evidence, such as user access reviews and reconciliations. They also process raw, unstructured evidence, extracting and mapping data across file types from dense PDFs to video walkthroughs, exactly as a human auditor would. Results feed directly into a GRC system of action that unites raw data with audit workflows.
What does Optro produce for an audit?
External-audit-ready Excel workpapers. Test results assemble into workpapers linked directly back to the source evidence, and an Excel add-in lets you review the supporting documentation behind each result. Because the agents do the fieldwork, your work starts at the review rather than collecting and testing evidence by hand.
How is evidence collected continuously?
Through more than 200 out-of-the-box integrations that feed real-time data from systems like Oracle NetSuite and Workday into the platform, plus APIs, an MCP server and SFTP for custom connectivity. The GRC system of action delivers real-time insights and a connected view of risk, so testing draws on current data rather than a periodic export.
What happens when a critical issue is found?
It routes for coordinated response. Optro connects ticketing apps, so a critical issue triggers a coordinated response and reduces stakeholder fatigue. Integrated KRIs and KPIs let you manage risk and performance proactively, so a finding is tracked and acted on rather than lost.
What evidence still has to be handled manually?
Agents reduce fieldwork, but the auditor leads. Your work starts at reviewing the agent-produced workpapers, you set KRI and KPI strategy, and stakeholder engagement to gather evidence from business units still requires coordination. Audit certification itself is issued by an external assessor, with Optro producing the audit-ready workpapers.
Sources & verification
| Source | What was checked | Last checked |
|---|---|---|
| Auditboard Official | Official product page | July 10, 2026 |
| Optro | Product documentation | July 10, 2026 |
| Optro Autonomous Testing | Autonomous Testing | July 10, 2026 |
| Optro Frameworks | Platform Frameworks | July 10, 2026 |
| Optro Integrations | Integrations and connectors | July 10, 2026 |
Every fact on this Optro page is tied to a named source and a verification date. Freshness-sensitive figures trace to the sources above; verify against the vendor before relying on them.
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