Why accounting firm workflow bottlenecks are rarely where they appear

Visible workflow pain often starts with poor intake, disconnected systems, unclear handoffs, and work that moves before it is ready

Review queues are growing. Staff are waiting for client information. Deadlines are getting closer. Partners and managers find themselves stepping in to chase updates, answer questions, and keep the work moving.

Every accounting firm has a similar tale of workflow-related woe.

When these incidents happen, it is natural to focus on the point where the pain becomes visible. If review is backed up, review must be the problem. If deadlines are missed, staffing must be the culprit. If clients keep calling for updates, communication must be lacking.

But workflow bottlenecks are often symptoms, not root causes. As discussed during the CCH Innovations session, From Bottlenecks to Flow: Building Predictable Tax and Audit Workflows, the friction firms experience frequently originates earlier in the process — from poor intake quality, disconnected systems, unclear handoffs, and work moving forward before it is truly ready. 

The challenge is not a lack of effort. It is a workflow design problem.

Listen in: Replay the 'From bottlenecks to flow: Building predictable tax and audit workflows' webinar

Reactive workflows hide structural problems

Many firms have invested considerable time and resources into improving individual processes and technologies. Yet leaders still find themselves having to pause their own work to deal with manual follow-ups, status meetings, and last-minute escalations.

The reason is that workflow problems rarely exist in isolation. It’s important to separate structural causes from the symptoms that firms experience. 

Poor client data quality, disconnected systems, and workflows that rely heavily on manual coordination often surface as review delays, unclear ownership, limited visibility, and teams compensating through extra effort. 

As Mark McAndrew, Director of Product Management for Firm Management at Wolters Kluwer, notes, “The problem isn't a lack of effort. The problem is that people are still manually holding the workflows together.” 

In many firms, professionals spend valuable time checking status, reconciling information across applications, following up on missing items, and coordinating handoffs. Progress depends on individuals remembering what needs to happen next rather than on the workflow itself. 

AI can help reduce this coordination burden. For example, AI-powered workflow orchestration can monitor engagement progress, flag stalled tasks, trigger reminders, and automatically generate engagement summaries that highlight outstanding issues, provide alerts for approaching deadlines, and suggest required next actions. Instead of gathering updates manually, managers can focus on resolving higher-value issues.

Intake quality impacts everything downstream

Workflow quality starts long before preparation or review begins.

According to webinar findings, one of the biggest barriers is obtaining quality client data. Documents often arrive incomplete, inconsistently organized, or disconnected from the work they support.

The result is predictable: uncertainty gets pushed downstream. Preparers spend time cleaning up information. Reviewers discover important context is missing. Partners deal with delays that look review-related. But the truth is that all these problems started at intake.

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As McAndrew summarizes, “The quality of the work you provide to that customer for that experience to be realized starts with the quality of the information you obtain and how that gets into your systems.” 

This is why intake is one of the most important opportunities for improvement.

Where AI can help

AI can make the intake process more productive by classifying incoming documents, extracting key information, validating completeness, and identifying missing items before work begins. Rather than finding gaps during preparation, firms can spot issues at once and address them before they can cause delays.

AI can also strengthen client engagement. Personalized document request lists can be generated from prior-year returns, engagement requirements, and entity-specific needs. Automated communications can explain why information is needed, answer routine questions, and follow up on outstanding requests. The result is a smoother client experience and cleaner inputs entering the workflow.

Readiness should determine when work moves

Many firms try to move work along faster when they should be ensuring work only moves once it is ready.

One of the webinar's key themes is that premature handoffs create unnecessary friction. Work arrives at a preparer before all information is available. A reviewer receives an engagement before the packet is complete. Questions emerge, work gets returned, and the cycle repeats.

Work that moves too early often moves more than once. 

These stop-and-start cycles create rework, reviewer bottlenecks, and lost productivity. Professionals spend time reacclimating themselves to work they have already touched instead of making meaningful progress.

Where AI can help

AI can support stronger readiness discipline by evaluating completeness, finding unresolved exceptions, and generating readiness scores before work progresses to the next stage. Under an AI workflow, a tax engagement with missing forms, unanswered client questions, or incomplete supporting documentation stays with the appropriate owner until requirements are met.

This ensures that work arrives at the right person at the right time — and with the context needed to move forward.

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Visibility turns workflow into a leadership tool

Leaders need more than status updates. They need context. 

Knowing that an engagement is in review is far less valuable than knowing whether it is stuck, why it is stuck, who owns the next action, and what impact a delay could have on downstream deadlines.

The webinar highlights how limited visibility often prevents firms from uncovering problems until schedules, realization, reviewer capacity, or client expectations are already under pressure. 

Where AI can help

AI-generated engagement summaries can provide real-time snapshots of workflow health, including open issues, upcoming deadlines, risk indicators, and next-owner assignments. More importantly, AI can help firms move from visibility to prediction.

By analyzing workflow patterns across engagements, AI can discover conditions that historically lead to delays. Leaders can receive alerts when a reviewer is likely to become overloaded, when a client's response is likely to jeopardize a deadline, or when an engagement is on track to become a bottleneck — all before the problem becomes visible.

That shift — from reacting to issues to anticipating them — can fundamentally change how firms manage workflows.

Predictable workflows are designed

The firms that consistently deliver work on time are not necessarily working harder than everyone else. They are running workflows designed to support better outcomes.

Better intake creates stronger foundations. Readiness-based handoffs reduce rework. Connected visibility improves decision-making. AI helps streamline communication, surface risks, summarize engagement health, and predict bottlenecks before they disrupt delivery. 

As the webinar emphasizes, predictable workflows are built across the full client lifecycle, rather than within a single task or tool.

The firms that focus on those fundamentals can reduce workflow friction, reclaim capacity, improve client experience, and create more time for the advisory work that drives long-term growth.