AI is everywhere right now. It permeates every conversation, every event, and every vendor discussion. Most accounting firms I speak to have already tried AI in some form. You have tested various tools, played with prompts, and glimpsed the vast possibilities AI offers. However, what I am witnessing now is a significant shift in the narrative surrounding AI.
The challenge has evolved. It is no longer about access to AI technology; rather, the pressing concern is understanding where AI truly fits within your firm, especially alongside everything else you are managing. The reality is that if you layer AI on top of an already stretched team and convoluted workflows, you do not gain leverage. Instead, you end up adding to the complexity.
The Reality Your Firm is Already Operating In
Before even considering AI, many firms are already under immense pressure. You are likely facing an overwhelming workload with insufficient staff and an ever-rising tide of expectations from clients and stakeholders. In addition to these challenges, you are contending with:
• Salaries that are continuously increasing
• Tightening profit margins
• Clients who are increasingly cost-conscious
• Expanding regulatory requirements
In response to these challenges, many firms have opted to build offshore teams, which have now become an integral part of their operational model rather than a mere workaround. All of this pressure sits atop your daily client work, creating a complex environment in which AI must operate.
What AI Actually Looks Like Inside Most Firms Today
Currently, the adoption of AI within firms is still in its early stages. There is a palpable sense of curiosity and momentum, but it is often accompanied by uncertainty. I observe that individuals are experimenting with tools like ChatGPT or Microsoft Copilot, each person discovering their own methods of utilisation. This leads to varied approaches across teams, resulting in a lack of clear standards or guidelines, which makes consistency a challenge.
While some team members are making strides in their use of AI, the firm as a whole is not always progressing in tandem. It is crucial to create a cohesive strategy that aligns everyone towards common goals instead of having individuals move in disparate directions.
AI Only Works When It's Tied to Something Real
It is essential to recognise that AI is not a standalone strategy. Instead, it is a tool that supports your existing strategic priorities. Your firm likely has established goals, such as:
• Improving the efficiency and quality of service delivery
• Introducing innovative services
• Attracting high-quality clients
• Enhancing operational efficiency
AI can indeed support all of these objectives, but its utility is realised only when it is connected to clear, specific outcomes. Without this connection, AI merely becomes another tool collecting dust on the shelf, rather than a driver of significant change.
Why Most AI Efforts Stall
One of the most common patterns I observe is the tendency to jump straight into solutions without sufficient planning. When something is not functioning as it should, the instinct is to find a quick fix. This pressure is amplified in the realm of AI, where everything feels urgent and time-sensitive. Unfortunately, this approach often results in fragmented adoption.
Diverse tools are introduced, different methodologies are employed, and the outcomes vary dramatically depending on who is using them. Over time, this does not simplify the situation; rather, it adds more moving parts to an already complex operational landscape.
This Needs to Be Led, Not Left to Chance
If AI is to be effective at the firm level, it requires clear direction. This begins with leadership. You need to make key decisions regarding:
• Where AI will be deployed within your operations
• What specific outcomes you aim to achieve
• What level of risk you are willing to accept
Moreover, establishing boundaries is critical. You need to determine which tools are approved for use, what types of data can be utilised, and where the limits lie. Without these parameters, you risk allowing individuals to pursue their own paths, which can quickly lead to a loss of control and coherence in your AI strategy.
AI Touches More Than Just Your Tech Stack
Another misstep is treating AI as merely a technology project. In reality, AI affects the entire firm. Its implications extend to:
• Changes in service delivery
• Modifications in workflows
• Alterations in risk and compliance considerations
• Shifts in how your team collaborates and functions
For many firms, especially those that are not among the largest players in the industry, this means fostering a level of collaboration across different parts of the business that they may not have previously experienced. Sometimes, firms may require external support—not just for implementing AI tools, but also for shaping their overall approach to AI adoption.
Start Smaller Than You Think
It is important to understand that you do not need to overhaul your entire operation at once. In fact, attempting to do too much too quickly is often where many initiatives falter. A more effective strategy is to concentrate on a limited number of use cases. Focus on areas where:
• You can quickly improve efficiency
• You are already working with structured data
• The outcomes are straightforward to measure
By starting small, you allow your team to become comfortable with the new tools and processes, enabling the changes to settle into the firm’s culture. Momentum is more critical than speed; building confidence through small wins will set a solid foundation for future AI initiatives.
The Bigger Shift Isn’t AI, It’s What It Enables
While AI is currently attracting the lion’s share of attention, the more significant shift lies in what it enables. The automation of compliance work is making it easier to deliver, and this transformation alters how value is perceived within the firm. The real opportunity resides in advisory services, which allow firms to help clients understand:
• Where their cash is coming from
• Where it is being spent
• What these insights mean for their decision-making
This does not necessitate complex models; rather, it begins with fostering better conversations with clients, positioning the firm as a trusted advisor rather than just a service provider.
What This Means for Your Team
There is often a concern about whether AI will reduce the need for human input within firms. What I am observing is quite the opposite. While it is inevitable that some tasks will be automated, the necessity for human involvement does not simply vanish; it evolves. As teams spend less time on manual processing, they will have more opportunity to focus on interpretation, decision-making, and effective communication.
This shift requires different capabilities. Your team must not only know how to use AI but also how to think critically, explain complex concepts, and guide clients through the decision-making process.
The Way Forward
AI is advancing rapidly, and it can be easy to feel the pressure to keep up. However, the firms that derive the most value from AI are not necessarily those that are moving the fastest. Instead, they are the ones that maintain clarity about their objectives. They begin by identifying the problem, clearly defining the desired outcomes, and then applying AI in ways that genuinely support those goals.
Ultimately, it is not AI itself that provides a competitive advantage; it is how you choose to leverage it within your firm that will determine your success.
Watch the Full Session
If you are interested in hearing my thoughts on this topic in greater detail and exploring how to approach AI implementation within your firm, I invite you to view my session from QuickFest. In this session, I walk through the process step by step. You can catch the full replay here:
