Datatonic Warns of AI Productivity Leakage in Enterprises

Datatonic, a global data and AI consultancy, reported on February 10, 2026, that poor implementation and a lack of governance are the primary risks to enterprise productivity. The firm warns that companies face productivity leakage when AI is isolated from the people who run the business, leading to stalled decision cycles and diminished competitiveness.

To combat this, the consultancy advocates for human-in-the-loop models where AI manages speed and scale while humans provide judgment and oversight. This approach has reportedly reduced invoice-processing costs by as much as 70% in certain finance departments. The firm emphasizes that AI should be used to redesign work rather than simply replace tasks.

Referencing research from the Massachusetts Institute of Technology, Datatonic noted that 95% of AI pilots currently fail because they are disconnected from core operations and lack sufficient governance frameworks. The firm argues that the highest enterprise value is generated when human evaluation systems and AI execution are combined.