Toolkit · from Workiva
Is Your Audit Testing Ready for AI Automation?
Where can AI create meaningful value—and where does it introduce more risk than benefit? The answer depends on the activity.
- Format
- Toolkit
- Published by
- Workiva
- Category
- Artificial Intelligence
- Added
- 22 Sept 2026
What’s inside
- Score Your Testing Activities: Evaluate up to five activities across seven dimensions to determine automated testing fit.
- Determine the Right Intelligence Level: See whether rule-based, hybrid/LLM, or human-led automation fits best.
- Calculate Your Net Automation Score: Get a clear, numeric result for each activity.
- Build Your Roadmap: Interpret your results with Workiva’s recommended approach and real-world examples.
About this toolkit
Where can AI create meaningful value—and where does it introduce more risk than benefit? The answer depends on the activity. This 10-question assessment gives you a structured framework for evaluating your testing activities across key dimensions like repeatability, judgment, data, and oversight, so you know exactly where automation fits and where human judgment should stay in control.
Complete the assessment to:
- Score Your Testing Activities: Evaluate up to five activities across seven dimensions to determine automated testing fit.
- Determine the Right Intelligence Level: See whether rule-based, hybrid/LLM, or human-led automation fits best.
- Calculate Your Net Automation Score: Get a clear, numeric result for each activity.
- Build Your Roadmap: Interpret your results with Workiva’s recommended approach and real-world examples.
Listen or skim
Summaries are generated from this page’s text. Read the full piece for the detail.
More from Workiva
All 5 →
AI Governance Toolkit
Building AI governance one policy at a time invites gaps—and by the time you find them, the damage is done. A more effective path is to start deliberately, prove value quickly, and scale from there.
AI-powered GRC that turns risk insight into trusted decisions
In today’s fast-paced business environment, a reactive GRC strategy is a liability. Audit, risk, and compliance teams need the ability to uncover issues instantly and turn fragmented data into confident, audit-ready decisions.
How ready is your organization for AI? But really?
The pressure to adopt AI is immense, but rushing deployment without measuring your organization’s true readiness is a recipe for governance failure and unchecked risk.
Elsewhere in Artificial Intelligence
See the category →
The State of AI Governance
How enterprise AI adoption is outpacing the controls meant to govern it, drawn from anonymised production traffic across hundreds of organisations using Kong AI Gateway.
AI Governance in Action
A practical ebook on understanding, managing and governing enterprise AI adoption.
2026 MidYear Executive Benchmark Survey: The Verification Gap
Artificial intelligence is transforming the enterprise, but data realities are struggling to keep up with executive ambitions. Investors are watching closely—89% are concerned about AI accuracy in disclosures.