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Indian Enterprises Move AI From Experiments Toward Production
Indian companies are starting to use AI more seriously instead of only testing it.
Salesforce says this change has happened faster than it did a year ago.
Companies want AI systems to be secure and easy to check.
They also want to choose which AI models they use.
Salesforce says its tools can work with different models.
AI helped one small research team study more businesses in India and Southeast Asia.
This helped the team find more possible sales opportunities.
Salesforce says AI created more work opportunities instead of simply replacing workers.
Most companies are still keeping people involved when AI makes decisions.
Larger companies are especially careful because they do not want to lose customers’ trust.
Salesforce reports faster AI adoption among Indian enterprises than 12 months earlier.
Security, compliance and auditability are becoming central as companies deploy AI more seriously.
Salesforce says customers can use different AI models across its AI, data and customer platforms.
AI helped a five-member Salesforce market research team cover smaller Indian companies and ASEAN accounts.
Enterprises remain cautious about autonomous AI, with human oversight still involved at every stage.
- Who
- Salesforce South Asia, led by President and Chief Executive Arundhati Bhattacharya, and Indian enterprises.
- What
- Indian businesses are accelerating their adoption of AI and moving deployments beyond experimentation.
- Where
- The adoption is occurring among enterprises in India; the interview took place alongside Dreamforce in San Francisco.
- When
- The change was described as occurring compared with 12 months earlier, during Salesforce’s annual three-day Dreamforce event.
- Why
- Companies are seeking practical benefits from AI while prioritizing security, compliance, auditability and control over automation.
AI Expansion and Flexibility
Caution and Human Oversight
Effect on employment and growth
AI Expansion and Flexibility
Salesforce presents AI as a way to expand team coverage, uncover latent demand and create additional sales opportunities rather than simply reduce employee numbers.
Caution and Human Oversight
The article does not report a direct opposing position, but enterprises’ cautious approach to automation limits how far AI is allowed to operate independently.
AI autonomy
AI Expansion and Flexibility
AI can support work across Salesforce’s AI, data and customer-experience layers, using models selected by customers.
Caution and Human Oversight
Enterprises, especially established companies, are moving carefully toward autonomy because of risk and the importance of maintaining customer trust; human oversight remains in place.
Key facts
- AI adoption
- Salesforce reports a marked acceleration among Indian enterprises compared with 12 months earlier.
- Key concerns
- Security, compliance and auditability are increasingly important to enterprises.
- Model flexibility
- Salesforce says customers can use its models or models from other providers.
- Research team
- A five-member Salesforce market research team expanded its coverage from Indian enterprise accounts to all accounts and ASEAN accounts.
- Business impact
- The expanded coverage uncovered more sales opportunities, after which Salesforce added more salespeople.
- Autonomy
- Salesforce says very little AI is currently totally autonomous and that humans remain involved at all stages.
- Risk differences
- Traditional large enterprises are described as more cautious because they have greater customer trust at stake.
Quotes
Arundhati Bhattacharya
President and chief executive of Salesforce South Asia
“We can come in at any of those points, any of those layers and ensure that that layer works in perfect consonance with whatever you have in order to give you the best results”
financialexpress.com
“At this point of time, there is very little that is totally autonomous”
financialexpress.com
Sources
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