Business automation 2026: the hidden key to productivity

Futuristic business operations center with holographic displays showing generative AI, RPA flows, and low-code platforms integrating finance, sales, and operations to make real-time decisions and manage a resilient supply chain.

Business automation 2026is becoming a strategic priority as CFOs increase their technology investment. A recent report indicates that 96% of companiesplan to increase their technology spending in the coming years, driven by the promise of greater productivity and resilience (data from a global survey of financial executives). This momentum is redefining how work is designed and managed.

 

From automating tasks to redesigning the business model

Business automation in 2026 is no longer limited to robots on the factory floor or basic billing workflows. Companies are integrating generative AI, RPA, and low-code platforms to connect finance, sales, and operations within a single digital fabric. The focus is shifting from reducing isolated costs to enabling real-time decisions, resilient supply chains, and consistent customer experiences across all channels.

A CFO and CIO in a modern command center, facing screens displaying advanced analytics dashboards and automation flows, while a team in a center of excellence defines standards, measures ROI, and participates in upskilling sessions.

CFO and CIO, a strategic alliance to scale operational intelligence

In many organizations, the CFO leads the prioritization of automation use cases, while the CIO orchestrates the technology architecture.

  • Joint projects combine advanced analytics, process automation, and data governance to generate operational and strategic value.

  • Centers of excellence define standards, templates, and roles (e.g., data stewards) to ensure quality and replicability.

  • ROI and KPIs are measured from pilots to prioritize investment and scaling.

  • Continuous upskilling and a culture of constant improvement are promoted through training, mentoring, and agile cycles.

Modern office with a diverse team gathered around a transparent screen displaying data visualizations, person-centered design schematics, and an algorithmic accountability framework, while a mentor provides training and a

People, data, and ethics: pillars of the next level of automation

The challenge is no longer whether to automate, but how to do it well. Achieving this requires coordinating technology, processes, and culture so that automation is effective, responsible, and people-centered.

  • Combine human-centered design, data quality, and clear frameworks for algorithmic accountability to ensure aligned and auditable decisions.

  • Strengthen digital skills training and retraining to facilitate job transitions.

  • Maintain human oversight in critical decisions and escalation processes to mitigate biases and errors.

  • Increase transparency in the use of AI and internal policies that build internal trust and reduce friction.

 

Business automation in 2026 is shaping up to be a silent driver of competitiveness for organizations of all sizes. Those who align strategy, talent, and technology will achieve more agile operations and business models that are prepared for constant change. To explore how toapply these automation capabilitiesto specific situations, contact the Digital Robotsteam and analyze the next step on this journey.


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