Most Australian accounting firms have already answered “Is Copilot useful?”. TL:DR – it is. But why do some teams save hours a week while others barely notice it using the same licences?
At Strategic Group, we’re seeing a clear pattern among clients adopting Copilot through our enablement program: productivity gains arrive quickly, but they’re unevenly distributed across firms and teams. Some people are already saving hours each week; others see only marginal benefit despite having the same licences, access, and training. On average, we’re seeing around 82 minutes saved per person per week after adoption.
Copilot adoption is no longer a technology journey. It’s an operating rhythm problem. Firms that embed Copilot as a set of default behaviours in everyday work see compounding returns; firms that treat it as an optional add-on tool see uneven outcomes.
This gap isn’t explained by technology maturity or staff capability alone. It’s explained by how Copilot is used, how often it’s used, and how it’s embedded into the way work actually happens.
Today’s article is our reflection on real data from our client’s adoption surveys combined with industry-wide findings from Wolters Kluwer research to explore what is really driving value, where firms are getting stuck, and what accounting leaders should pay attention to next.
Insight #1: Early value is real and it arrives fast
One of the most consistent signals across Australian firms is the speed at which Copilot delivers value once staff begin using it on real work. It starts from day one.
Within weeks of hands-on exposure:
• Most users report time savings in the order of 30–60 minutes per week
• A smaller but growing cohort report multiple hours saved per week
• Perceived value remains high even where confidence is still developing
This aligns closely with APAC-wide findings. The Future Ready Accountant report shows that:
• 81% of firms in Asia-Pacific now use AI tools weekly or daily
• AI adoption has moved from experimentation to routine workflow integration
• 73% of regular users report results that meet or exceed expectations
The implication for Australian firm leaders means Copilot value is not theoretical, it’s now operational, observable, and already occurring.
Insight #2: Confidence follows usage, not the other way around
A second consistent insight is the relationship between confidence and training.
Staff confidence tends to:
• Increase sharply after hands-on, task-based training
• Improve even for individuals who start with very low confidence
• Correlate strongly with willingness to apply Copilot to real tasks
However, confidence does not grow indefinitely through training alone. What matters most is using Copilot repeatedly in everyday scenarios, not learning ever-more advanced prompts.
This mirrors a broader industry shift. The APAC research shows that firms investing in AI are now focusing less on awareness and more on embedding AI into daily workflows, supported by ongoing reinforcement and clear usage norms.
For leaders, this reframes the problem where Copilot adoption is not primarily an education challenge, and more of a behaviour change challenge.
Insight #3: Accounting has common AI use cases that stick
Across our client base of Australian firms, the same small set of Copilot use cases consistently delivers the most value in the first month of adoption:
High-adoption, high-value scenarios
• Drafting and refining emails
• Summarising long documents and client files
Strong and growing adoption
• Finding information across emails and files
• Excel analysis, validation, and reporting
• Drafting internal documents
Emerging but less consistent
• Meeting preparation, notes, and follow-ups
These are not novel or experimental uses. They are workflow-adjacent tasks that reduce cognitive load, context switching, and rework. In other words, Copilot succeeds where it removes friction from work staff already do every day.
Our findings align with APAC-wide data showing AI adoption is strongest in productivity, research, documentation, and internal knowledge tasks. Advisory-facing use cases, while increasingly discussed, tend to follow only after internal usage becomes habitual.
Insight #4: Copilot ROI comes from consistency, not competence
Despite strong early indicators, our Copilot surveys reveal a persistent challenge:
Copilot value is real, but uneven.
Within the same firm, some staff extract extraordinary value (up to a full day per week saved) while others experience modest or inconsistent benefits. This creates three informal groups:
• ExplorersIrregular usage, low confidence, limited value.
• Power usersSmall group, consistent habits, outsized time savings.
• The middle majorityBelieve Copilot is useful, intend to keep using it, but apply it inconsistently.
This “middle” group matters most. It represents the largest unrealised productivity opportunity, yet it is also where enthusiasm can quietly stall if value feels unpredictable.
For example, one senior accountant might use Copilot every morning to draft emails, summarise a client file, and sanity-check an Excel narrative - saving one to two hours across a week. Another staff member with the same licence may only try it occasionally, so results feel inconsistent and Copilot never becomes a trusted part of their workflow.
In most firms, the middle majority stalls for practical reasons:
• There are no agreed “default moments” to use Copilot (so it depends on memory and motivation).
• Prompts and examples are not shared, so each person must reinvent a workflow.
• Information is hard to find or inconsistent (files, permissions, naming), reducing Copilot reliability.
• Staff are unsure what is acceptable for client-related work, so they stay cautious.
Industry research helps explain why. The Future Ready Accountant report shows that high-growth firms differentiate themselves less by tools and more by integration, repetition, and operational discipline. Technology maturity shows up in habits, not licences.
Insight #5: Nail productivity before you scale advisory
Another important contrast emerges when local survey data is set against broader industry ambition. Put simply: most firms are still focused on making Copilot reliably useful inside the firm before pushing it into higher-stakes, client-facing work.
APAC-wide:
• 93% of firms now offer advisory services
• Nearly half plan to expand advisory further
• AI is positioned as a major advisory enabler
In practice, however, Australian Copilot usage is still overwhelmingly internal productivity-focused. Most firms are using Copilot to reclaim time and reduce friction, not yet to transform client advisory.
This gap is not a failure. It is a sequencing issue.
Firms that struggle to standardise internal Copilot usage will find it difficult to rely on AI for higher-risk, client-facing insight. Productivity discipline is the foundation upon which advisory enablement is built. It’s critical to get the day-to-day tasks working reliably before scaling to higher-order use cases.
The real leadership challenge: From tool to routine
Across all sources, one conclusion stands out.
Which means the leadership task is no longer “roll out a tool.”
It is to build an operating rhythm that makes Copilot routine.
Australian accounting firms do not need:
• More features
• More licences
• More generic training
They need:
• A small, explicit set of default Copilot behaviours
• Reinforced through everyday work
• Visible and shared across teams
• Supported by light, practical governance
The firms that extract the most value treat Copilot less like “AI” and more like Excel or Outlook: boring, repeatable, and indispensable.
What accounting leaders should take away
For leaders navigating Copilot adoption, consider this:
• Early productivity gains are real and should not be discounted as hype.
• Confidence follows use, not theory or training volume.
• Value compounds when Copilot use becomes habitual, not occasional.
• Inconsistency is the hidden cost of adoption.
If you only do one thing next, define three default Copilot behaviours for the next 30 days and reinforce them in day-to-day work:
• Email first draft: use Copilot for the first version of routine client and internal emails, then edit as normal.
• Document intake: summarise any long client document or workpaper before you start acting on it.
• Meeting close-out: after internal meetings, generate actions and a follow-up email while context is fresh.
• Advisory impact depends on first getting internal usage right.
The opportunity over the next 12–24 months is not about who adopts AI first. It is about who normalises it best.
Australian accounting firms that embed Copilot into day-to-day work, with clarity and restraint, will quietly free up capacity, reduce friction, and create the headroom required for deeper client value.
If you’d like to try a similar approach, or learn more, get in touch with Nick Ferguson – Head of Professional Services & AI Solutions.
References
Strategic Group client survey data (March-April 2026)
Wolters Kluwer Future Ready Accountant APAC
