RNIT AI Solutions appoints Patcha & Associates as internal auditors for FY27
- RNIT AI Solutions appointed M/s. Patcha & Associates as internal auditors for FY27
- Appointment approved by Board on October 3, 2026
- Firm led by Sriramulu Patcha with over 15 years experience

*this image is generated using AI for illustrative purposes only.
RNIT AI Solutions Limited appointed M/s. Patcha & Associates, Chartered Accountants, as its internal auditors for the financial year 2026-27. The decision was approved by the Board of Directors during a meeting held on October 3, 2026.
The appointment follows the recommendation of the Audit Committee. The disclosure was made pursuant to Regulation 30 read with Schedule III of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015.
Auditor Profile
M/s. Patcha & Associates is based in Hyderabad and is led by Mr. Sriramulu Patcha. He is a Fellow Member of the Institute of Chartered Accountants of India (ICAI) and a qualified Cost Accountant with over 15 years of professional experience.
The firm's areas of expertise include:
- Internal Audit
- Statutory Audit
- Tax Audit
- Project Financing
- Business Valuation
- Mergers & Acquisitions
- Capital Reduction Schemes
- Financial Statement Analysis
Board Meeting Details
The Board meeting commenced at 10:30 am and concluded at 11:15 am. The company also referenced SEBI Circular No. HO/49/14/14(7)2025-CFD-POD2/I/3762/2026 dated January 30, 2026, regarding the disclosure requirements.
Historical Stock Returns for Rnit Ai Solutions
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| +1.99% | +11.49% | +23.51% | +91.83% | +114.26% | +114.26% |
How might the appointment of a Hyderabad-based firm with M&A expertise signal RNIT AI's potential strategic direction regarding future acquisitions or restructuring?
What specific internal control weaknesses or operational risks is RNIT AI aiming to address by engaging Patcha & Associates for the FY2026-27 audit cycle?
Will the new auditor's specialization in project financing influence how RNIT AI structures its upcoming capital expenditure or debt funding plans?


































