Archive · 13 Sep 2026
SAP Urges Responsible, Relevant, Reliable AI for Enterprises
SAP says businesses should use AI in a careful and useful way.
AI should give relevant answers, use reliable information and be used responsibly.
Many companies are still testing AI in small projects.
Using it across an entire business is harder because information may be spread across different systems.
SAP says companies should connect their data and business processes step by step.
People should continue checking important decisions instead of letting AI work completely alone.
Some repetitive jobs may be handled by AI, but new jobs can also appear.
SAP believes India has strong talent for building and improving enterprise AI.
SAP executive Manish Prasad said enterprises must move carefully from AI pilots to end-to-end deployment.
He identified responsible, relevant and reliable AI as the foundation of SAP’s business AI framework.
Integrating siloed structured and unstructured data is essential for improving business KPIs and decision-making.
Prasad said AI will automate some repetitive functions while creating new roles for reskilled workers.
SAP is expanding its Indian engineering presence through an Innovation Campus in Devanahalli.
- Who
- SAP and Manish Prasad, President and Managing Director of SAP Indian Subcontinent, discussed enterprise AI.
- What
- SAP outlined its approach to scaling enterprise AI around responsibility, relevance, reliability, data integration and human oversight.
- When
- During an interview connected with SAP Now in Delhi; no date was provided.
- Where
- The discussion referenced SAP’s operations in India, including its Innovation Campus in Devanahalli, and the SAP Now event in Delhi.
- Why
- Enterprises need to overcome data silos, improve process-wide accuracy and reliability, meet governance and cybersecurity requirements, and produce measurable business value.
- AI principles
- Responsible, relevant and reliable AI
- Enterprise processes
- Procure-to-pay, hire-to-retire, design-to-operate and report-to-report
- Data challenge
- Fragmented structured and unstructured data can limit enterprise AI deployment
- Human oversight
- SAP says people should remain involved in functions, decisions and judgments
- India role
- India is described as a major talent and engineering hub for SAP
- SAP Labs India
- SAP’s Indian engineering operation is described as its largest outside headquarters
- Innovation Campus
- SAP is expanding in Devanahalli after reaching capacity at its Whitefield location
- Workforce impact
- AI may take over some repetitive functions while creating new roles such as forward deployment engineers