Leading firms are redesigning audit workflows to improve efficiency, visibility, and performance
Highlights
- Build a strong workflow foundation with standardized processes and centralized audit data
- Connect systems and automate handoffs to reduce manual work and improve efficiency
- Leverage AI strategically to enhance audit quality, risk assessment, and decision-making
Audit firms are under increasing pressure to do more with less. Staffing challenges, rising client expectations, expanding regulatory requirements, and growing data volumes have exposed a common problem across many firms: audit workflows often aren’t designed to support today’s level of complexity.
Over time, many firms have adopted new technologies to address individual challenges. But adding more tools doesn’t automatically create better workflows. In fact, disconnected systems can introduce duplicate work, inconsistent processes, manual handoffs, and limited visibility across engagements.
More than half of tax, audit, and accounting firms (52%) name efficiency as a top priority for 2026, up from 44% a year earlier, according to the Thomson Reuters Institute’s 2026 State of Tax Professionals Report. So, the firms seeing the greatest gains in efficiency are taking a different approach. Rather than optimizing individual tasks, they are redesigning workflows around connected processes, centralized data, and intelligent automation.
So what does an efficient audit workflow actually look like, and which approaches are proving most effective?
Jump to ↓
Start with process design, not audit technology
Build audit workflows around a centralized data foundation
Connect workflows for audit work instead of creating point solutions
Use AI to enhance decision-making, not replace auditors
Automate handoffs and approvals
Adopt a phased audit workflow transformation strategy
How to measure audit workflow success holistically
The future of efficient audit workflows
Start with process design, not audit technology
One of the most common mistakes firms make is attempting to solve workflow challenges by implementing additional software right away. Technology can accelerate an existing process, but it can’t fix a poorly designed one.
Before introducing new solutions, firms should evaluate how audit work moves across the engagement lifecycle. Key questions include:
- Where are manual handoffs slowing progress?
- Which tasks require duplicate data entry?
- How many systems are involved in completing a single engagement?
- Where do review bottlenecks occur?
- How often are teams working from different versions of the same information?
An effective workflow begins with standardization. Firms that establish consistent methodologies, centralized documentation practices, and clear engagement processes create the operational foundation needed to support automation and AI later.
Build audit workflows around a centralized data foundation
Among the most effective audit workflow approaches is creating a single source of truth for audit data. When engagement information, client files, evidence, and supporting documentation are distributed across multiple systems, auditors spend valuable time locating information, reconciling discrepancies, and validating versions. These activities add little value but consume significant resources.
A centralized data foundation helps firms:
- Reduce duplicate data entry
- Improve version control
- Minimize reconciliation efforts
- Increase data accuracy
- Improve collaboration across engagement teams
Reliable and standardized data serves as the foundation for all downstream workflows, analytics, automation, and AI-powered capabilities. Simply put, efficient workflows begin with efficient information management.
Connect workflows for audit work instead of creating point solutions
Many audit firms rely on a collection of “best-in-class” tools that perform individual tasks effectively. The challenge is that these solutions often operate independently of one another. The most successful firms are shifting from isolated applications to connected workflow ecosystems.
Rather than requiring auditors to manually move information between systems, connected workflows allow information to flow automatically throughout the engagement lifecycle. Risk assessments can automatically influence audit procedures. Completed testing can feed directly into review workflows. Approved documentation can move seamlessly into compliance and reporting processes.
This integrated approach reduces administrative burdens while improving consistency and visibility. The goal is not simply integration but creating workflows where people, processes, and technology work together as a unified system.
Use AI to enhance decision-making, not replace auditors
AI is rapidly becoming a key component of modern audit workflows, but the most effective firms aren’t using it merely to automate tasks. They’re using it to improve decision-making.
Intelligent audit environments leverage AI for:
- Risk assessment and audit planning
- Anomaly detection
- Document review
- Evidence matching
- Automated analytics
- Continuous monitoring
These capabilities help auditors identify higher-risk areas earlier and focus their expertise where it delivers the greatest value. Rather than replacing professional judgment, AI enables auditors to spend less time on routine review activities and more time analyzing findings, evaluating risks, and providing insights.
As audit complexity continues to increase, this combination of human expertise and intelligent automation is emerging as one of the most effective workflow strategies available.
Automate handoffs and approvals
Workflow delays often occur at transition points between team members, reviewers, and engagement stages. That’s why event-driven workflows are becoming increasingly important.
In an event-driven environment, actions completed in one system automatically trigger the next required task, approval, or review. Instead of relying on emails, spreadsheets, or manual status updates, workflows progress automatically.
This approach offers several advantages:
- Reduced delays
- Greater accountability
- Improved engagement visibility
- Faster review cycles
- More consistent execution
The result is a workflow that becomes more predictable, scalable, and efficient.
Adopt a phased audit workflow transformation strategy
The most effective workflow redesign efforts are rarely completed all at once. Our white paper, Stop patching your audit tech stack together, recommends a phased approach, concisely:
Phase 1: Stabilize the foundation
Focus on standardizing methodologies, centralizing documentation, improving governance, and reducing manual processes. Success is measured through improved consistency and operational efficiency.
Phase 2: Add intelligence
Introduce AI-powered capabilities, automated analytics, anomaly detection, and decision-support tools. Success is measured through faster risk identification, improved quality, and reduced review time.
Phase 3: Scale and optimize
Expand workflow connectivity, automate engagement coordination, increase visibility, and establish continuous improvement practices. Success is measured by scalability, responsiveness, and firm-wide efficiency gains.
This phased strategy helps firms avoid disruption while creating a sustainable path toward long-term transformation.
How to measure audit workflow success holistically
Many firms evaluate workflow improvements based on isolated productivity metrics. But efficient audit workflows should deliver benefits across the entire engagement lifecycle.
Focus on these four categories, before and after you’ve redesigned your firm’s workflow:
- Efficiency metrics: Hours of manual work per engagement, number of manual handoffs, and days from kickoff to report issuance.
- Quality metrics: Percentage of workpapers sent back for rework, review notes per workpaper, and share of engagements that follow the standard methodology.
- Data integrity metrics: Share of engagements with status visible in one place, data discrepancies caught per engagement, and share of workpapers with a complete audit trail.
- Agility metrics: Days from a standards update to updated procedures going live, days from tool approval to first use on an engagement, and time to set up an engagement with a custom scope.
When firms evaluate workflows at the ecosystem level rather than just the individual task level, they gain a clearer picture of operational performance and long-term scalability.
The future of efficient audit workflows
The most effective audit workflow approaches share a common theme: connectivity.
High-performing firms are moving away from fragmented processes and building integrated environments where data, workflows, intelligence, and compliance activities work together seamlessly. By establishing a strong data foundation, connecting systems, automating handoffs, and leveraging AI strategically, firms can reduce administrative work, improve audit quality, and create capacity for higher-value activities.
As technology continues to evolve, workflow efficiency will increasingly depend not on the number of tools a firm owns, but on how effectively those tools work together.
Ready to stop patching your audit tech stack together? Check out the entire Thomson Reuters white paper in full for more details.
