Beyond productivity: AI as a new driver of value creation
AI is not only transforming business productivity: it is redefining business value. When integrated methodically, it becomes a powerful lever for financial, intangible, and strategic value creation. Everience has made this one of the central focuses of its support services.
AI, from operational performance to economic value
Long perceived as a tool for efficiency, artificial intelligence is now moving into another category: that of value drivers. According to MIT Sloan, citing the IMF, AI could add $7 trillion to global GDP and generate up to $25.6 trillion in value over the next decade. These staggering projections reflect a reality that is already visible in businesses: value is no longer measured solely in terms of productivity gains, but also in terms of financial strength, data quality, and technological maturity.
For Everience, formerly HELPLINE, the shift is clear. “AI can certainly improve productivity, but above all, it can increase the overall value of the company—financial, human, and strategic,” emphasizes Jérôme Lehmann, CEO of the group. This change in perspective is significant: it forces executives to consider AI as an economic asset, not just another technology.
How AI becomes a value driver
In retail and banking, Everience’s AI agents anticipate anomalies before they affect business. These immediate benefits—avoiding cash register failures, preventing incidents on critical systems—improve margins and predictability. But they also serve a broader purpose: strengthening the confidence of markets, partners, and customers.
Value is also played out in intangible capital. With the Symbiotic Academy, Everience trains employees and managers in the sensible use of AI, source verification, and data management. “Tomorrow, it will not be AI that replaces women and men, but those who know how to work with it,” says Jérôme Lehmann. This increase in skills enhances employer attractiveness, an increasingly scrutinized factor in company evaluations.
Finally, AI creates new strategic assets. When data is governed, qualified, and exploited, it becomes a real driver of differentiation. In commerce, it enables a highly personalized experience; in finance, it improves risk prevention. A company that can prove the reliability of its data and the rigor of its processes enhances its perceived value… and its real value.
Governance, transparency, responsibility: the new metrics of value
In a landscape saturated with technological solutions, the difference now lies in governance. Everience advises senior management on the choice of tools, their human supervision, and the ability of teams to develop them. The value created does not come from the number of applications, but from the overall consistency.
“Success does not come from stacking solutions, but from the right hybridization between AI and humans,” insists Jérôme Lehmann. The trust generated by this hybridization—data quality, process transparency, responsibility of use—becomes an asset in itself. In a context where investors value risk control as much as performance, this rigor is as important as innovation.
The augmented enterprise: a model of sustainable value
Everience’s vision breaks with the discourse that pits humans against machines. The challenge is not to replace, but to augment: to support decision-making, streamline operations, reduce errors, and accelerate analysis. Companies that can steer this transformation without overconfidence or loss of control will gain a competitive edge.
Because AI is not a finished product but an ongoing process that requires supervision, training, and discernment. It is this ability to govern technology—not simply multiply it—that will distinguish tomorrow’s truly valuable companies from those that are merely automated.
For those that manage to take this step, Everience offers much more than a technological advantage with AI: it offers an accelerator for value creation.