The problem: too many ideas, no common yardstick
Teams across the audit business could see exactly where AI, automation, and process improvement would help: work that was slow, manual tasks repeated at scale, knowledge that was difficult to reach, and processes where inconsistency created error risk. The ideas were good. There were simply too many of them to fund, and no fair way to compare them.
Each idea arrived with a different sponsor, a different story, and a different measure of value, so leadership's questions had no consistent answers. Which of these are genuinely valuable? Which merely sound innovative? Which deserve funding now, which need more validation first, and which should be stopped before they consume real money? The challenge was never generating innovation. It was turning innovation into investment decisions.
What we did: focus first, then a framework
Working alongside the firm's audit innovation leaders, Iteright began with focus. An initial prioritization pass reduced the universe of roughly 200 initiatives to a portfolio of 15 leading candidates that merited deep analysis. The long tail was not ignored. It was sequenced, so the firm's best analytical effort went where the potential value was highest.
Then we built the piece the firm had been missing: one validation framework applied to every candidate in exactly the same way. No idea would advance because its sponsor presented well, and none would die because its sponsor presented badly.
How we did it: the same hard questions, every time
Every opportunity in the deep-validation group had to answer the same questions, with evidence:
- What problem are we actually solving, and who experiences it?
- How often does it occur, and what does it cost in time and money?
- What materially improves if we solve it, and how large is the economic impact?
- What would the solution cost to build and run, and how difficult is it to deliver?
- What risks and dependencies stand behind the assumptions?
- Is this the best use of the same people and capital, compared with the alternatives?
The framework produced two kinds of answers, and both were valuable. It identified investments with significant upside. It also identified initiatives that did not justify continued resources, and gave leadership the confidence to stop them. A portfolio process that can only say yes is not a process. It is a rubber stamp.
The outcome: one standout, now in production
One opportunity separated itself from the field: a knowledge-management assistant for the audit organization. Auditors depend on large bodies of institutional and technical knowledge, and finding the right answer was consuming expensive professional time while inconsistency created error risk. The validated economics were difficult to argue with: approximately $7.1M in projected value, driven by productivity gains and a reduction in auditor errors, against a build cost measured in hundreds of thousands rather than millions.
The initiative did not end as a recommendation in a deck. It moved through development and into production. That is what makes this a strategy-to-impact story. The firm already had the ideas and the expertise. What it gained was a system for judgment: capture the knowledge, structure the opportunities, compare them honestly, and invest deeply only where value, evidence, and feasibility meet.