AI ideas are easy to generate. Knowing which ones are actually worth funding is harder.
The AI Opportunity & Value Diagnostic helps you work out which AI opportunities could make or save money, what they are likely to cost, and whether they are worth the investment.
Over 2–3 weeks, North Klar examines the business case before the technology — helping you decide what to invest in, what needs more evidence, what to defer and what not to pursue.
A$15,000 + GST · Fixed fee
AI OPPORTUNITY & VALUE DIAGNOSTIC
Decide where AI is worth the investment.
Decision before technology
The challenge isn’t finding what AI can do. It’s deciding which ideas are worth the money, time and effort.
AI initiatives compete for the same capital, management attention, technical capability and organisational capacity as everything else in the business.
Some may improve revenue, reduce costs or lift productivity. Others may be technically possible but make little commercial sense.
That’s why North Klar reverses the standard script: we start with the business problem, the expected commercial value, and the hard evidence - then rigorously test whether AI is actually worth pursuing.
Five questions this engagement answers
01
Where could AI create meaningful business value?
Which business problems, performance constraints or strategic opportunities are significant enough to warrant attention?
02
What return could reasonably be expected?
What economic benefit could the opportunity create, what would it cost to pursue, and what assumptions underpin that view?
03
Is the organisation ready to deliver it?
Are the required data, systems, capabilities, processes and organisational conditions sufficiently mature?
04
What could prevent value from being realised?
What delivery, operational, governance or adoption risks could weaken the investment case?
05
What should happen next?
Which opportunities should be invested in, validated further, deferred or not pursued?
If the evidence isn’t strong enough to support an investment decision, we will tell you straight—saving you from committing capital, time, or team bandwidth to a false start.
Six-stage Diagnostic process
Priorities → Opportunities → Business Case → Feasibility → Prioritisation → Decision
01
Map the real business priorities
We identify the performance gaps, bottlenecks, and outcomes that matter most to leadership.
The aim is to understand where value lies before discussing AI.
02
Identify credible AI opportunities
Through stakeholder interviews and targeted evidence review, we identify where AI could materially improve those priorities or problems.
We don’t start with a generic list of AI use cases.
03
Build the commercial case
We assess the strongest opportunities by expected value, cost, effort, time to value, and the strength of evidence.
Where credible estimates are possible, we use realistic ranges and scenarios—not false precision.
04
Test feasibility, readiness and risk
We test whether the organisation has the data, technology, capability and operating conditions needed to make the opportunity work.
We also identify the constraints and risks that could undermine the value.
05
Prioritise the opportunities
We compare the evidence to determine which opportunities have the strongest investment case.
The aim isn’t about more AI initiatives. It’s about focusing money, time, and attention where they are most justified.
06
Make the decision
We present the findings in a 90-minute Executive Decision Session so leadership can challenge assumptions, weigh the trade-offs and decide what to do.
The agreed priorities then become a practical 90- Day Action Roadmap