Indian companies grant AI autonomy but struggle to prove financial returns

Indian companies are granting generative AI systems greater autonomy in business processes, with 28% of business leaders reporting that AI completes tasks without routine human approval. However, a majority of organisations struggle to demonstrate financial returns on their AI investments, according to a report by Avanade.

Tarun Mottlia

Editor, Lazyfounder

Published Nov 4, 20263 min read

Indian companies grant AI autonomy but struggle to prove financial returns — Image: Mint (Technology) via source

KEY HIGHLIGHTS

28% of Indian business leaders report generative AI completes tasks without routine human approval.
82% of Indian business leaders express high or complete confidence in their organisation’s use of AI.
75% of Indian business leaders say AI has not delivered justifiable financial returns.
74% of Indian organisations have not formally calculated AI ROI.
India leads surveyed markets in operational efficiency improvements (44%) and employee productivity gains (42%).
48% of Indian respondents cite integrating AI with existing systems as a major challenge.

AI adoption and autonomy in Indian companies

Avanade’s report, based on responses from business leaders across India, reveals that 28% of organisations allow generative AI to complete defined tasks end-to-end without routine human oversight. Only 24% require explicit human approval before AI acts, signalling a shift toward greater operational autonomy for AI systems.

This trend contrasts with broader challenges in measuring AI’s financial impact. While 82% of Indian business leaders express high or complete confidence in their organisation’s use of AI, 75% say the technology has not delivered justifiable financial returns. Additionally, 74% of organisations have not formally calculated AI’s return on investment (ROI) or reviewed it with finance teams or senior leadership.

Productivity gains and integration challenges

India leads surveyed markets in measurable improvements driven by AI adoption. The report highlights that 44% of respondents report significant gains in operational efficiency, while 42% cite improvements in employee productivity. These figures outpace those from the Americas, Europe, the Middle East, Asia-Pacific, and Japan.

Despite these gains, integration remains a hurdle. Nearly half (48%) of Indian respondents identify integrating AI with existing core systems and data as a major challenge. Another 41% cite limitations in data, cloud, or integration infrastructure as barriers to becoming AI leaders.

What this means

Lazyfounder analysis — our interpretation, not reported fact.

Indian companies are pushing AI into production faster than many global peers, granting it autonomy to execute end-to-end processes. The data suggests two coexisting realities: confidence in AI’s technical capabilities is high, yet most organisations lack the financial frameworks to measure—or justify—its impact. For founders and operators, this gap is a signal to invest in ROI tracking tools and cross-functional teams that bridge AI development with finance. The findings also highlight a competitive advantage: Indian teams are achieving measurable gains in efficiency and productivity, which could attract investors or customers looking for proven AI-driven outcomes.

Key takeaways

Founders scaling AI should pair technical deployment with financial metrics to avoid misalignment with investors or leadership.
Operators in India can leverage the country’s leading productivity and efficiency gains as a differentiator in pitches or customer conversations.
Integrating AI with legacy systems remains a bottleneck; prioritising interoperability may accelerate adoption.
The disconnect between confidence in AI and financial proof suggests a need for clearer success metrics beyond technical performance.

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Sources

Mint (Technology) · 2026-11-03
Indian companies trust AI with greater autonomy but struggle to prove financial returns: Report

This story is an original summary drafted with AI by Lazyfounder from the reporting listed above and checked by automated validation. Facts are attributed to their original publishers; sections marked as analysis are Lazyfounder's. Where a source is in another language, facts were machine-translated and quotations are reported, not reproduced. Read the original coverage via the links, and see our AI policy and corrections policy.

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