AI investments deliver less business value than expected
Organizations are rapidly adopting artificial intelligence, but turning those investments into measurable business outcomes remains one of their biggest challenges.
Experts outline three recommendations to help intelligent automation projects deliver tangible business value.
Although 89% of large companies have launched digital transformation and artificial intelligence initiatives, they achieve only 31% of the expected revenue gains and 25% of the projected cost savings, according to McKinsey research.
These findings suggest that the primary challenge for organizations is no longer adopting artificial intelligence, but translating those investments into measurable business results.
The ability to generate value depends largely on how organizations select the processes they automate, measure outcomes and prepare their workforce to integrate new technologies.
Drawing on their experience with intelligent automation projects in Colombia, specialists at CNID outline three recommendations for maximizing the impact of these initiatives.
Focus on processes before technology.
- Prioritize processes before technology.
Not every process delivers the same operational value. Before deploying artificial intelligence tools, organizations should identify repetitive tasks, operational bottlenecks and activities with high administrative workloads.
This assessment helps prioritize processes with the greatest improvement potential and supports stronger returns on investment.
- Define metrics to measure impact.
Automation initiatives should be evaluated using measurable business outcomes. Indicators such as reduced processing times, fewer errors, lower operating costs and the ability to manage larger volumes of information help determine whether technology is improving organizational performance.
- Involve people from the outset.
Successful AI adoption also requires organizational readiness. Training, change management and a structured adoption strategy help employees make effective use of new tools while enabling them to focus on higher-value activities such as analysis, innovation and decision-making.
From this perspective, automation also provides an opportunity to improve data quality, enhance customer service, streamline administrative processes and strengthen organizations’ ability to respond to evolving business demands.
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