In an earlier Post, I explored how AI productivity improvements could translate into stronger earnings and greater business value.
The next question is just as important:
How dependable are those earnings?
Consider two businesses, each reporting an additional $100,000 in annual EBITDA.
One has redesigned its processes, reduced recurring costs and maintained service quality.
The other has postponed recruitment, deferred maintenance and asked its existing team to absorb more work.
The reported improvement is the same. The durability may be very different.
Before treating a productivity gain as lasting value, examine five things:
▪ Realisation
Have costs actually fallen or additional profitable work been delivered? Hours saved alone do not establish an earnings improvement.
▪ Full cost
Have software, integration, training, oversight and ongoing support been included?
▪ Repeatability
Will the benefit continue as volumes grow, staff change and systems evolve?
▪ Quality
Are accuracy, customer service and operational controls holding up?
▪ Transferability
Can the process operate reliably without depending on one employee—or the owner—to keep it working?
These questions matter whether the improvement comes from AI, procurement, automation or a broader operational review.
Sustainable earnings need evidence behind them.
Track the baseline. Measure the net benefit. Document the process. Check that the improvement survives beyond the initial implementation.
As a Chartered Accountant and corporate adviser, I am interested in both the size of an earnings improvement and what makes it sustainable.
That is where a productivity initiative starts to become a lasting business capability.
If someone reviewed your latest profit improvement, how much could you demonstrate would continue next year?
André Barkhuizen CA
Director | Advanced Finance Group
#BusinessProductivity #QualityOfEarnings #AIForBusiness #BusinessValue #CorporateAdvisory #AdvancedFinanceGroup
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