From our ongoing experiences with AI to date, targeted projects are focused by cost benefit and error reduction. What other factors should be considered?
Could you clarify the question? When you say "focused" are you referring to which projects get identified by an AI issue triage capability?
Kiron
Maybe clarify whether “focused” means which projects are identified or prioritized by the AI issue triage feature. Saving Changes...
Luis BrancoCEO| Business Insight, Consultores de Gestão, LdªCarcavelos, Lisboa, Portugal
A very relevant question. I would first ask whether cost-benefit and error reduction define the AI opportunity too narrowly.
AI can create value not only by making existing work cheaper or more accurate, but also by improving decision quality, expanding analytical capacity, accelerating learning, identifying risks earlier, or enabling capabilities that were previously impractical.
I would therefore also consider strategic relevance, stakeholder value, data readiness, organizational capability, risk and consequence severity, reversibility, scalability, and the sustainability of benefits over time.
Just as importantly, the human-AI configuration should be explicit: what should be automated, what should be augmented, what requires verification or escalation, who has legitimate decision authority, and where accountability rests.
Perhaps the starting question should therefore be: why AI for this problem, in this context, compared with credible alternatives, and what form of value are we actually trying to create or protect? Saving Changes...
Program Manager| HARPER SRLSanto Domingo / Distrito Nacional, Dominican Republic
I would also consider adoption and readiness. An AI solution may show good cost savings or error reduction, but if the team doesn’t trust it, understand how to use it, or it doesn’t fit into the existing workflow, the expected value may never be realized. I would also look at data quality, security, and how much human oversight will still be needed. Saving Changes...
Sergio Luis ConteHelping to create solutions for everyone| Worldwide based OrganizationsBuenos Aires, Argentina
First of all, AI is a board term. We are using AI from more than 40 years ago. Indeed it will help on process improvement. If you are talking about generative AI then let me say that the use of generative AI increments errors in projects except you understand that generative AI is probabilistic by nature then people that use it has to pay attention to generate environments that move genrative AI from probabilistic to deterministic environment. Saving Changes...
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