Zensar Technologies fixes July 17 record date for ₹12.60 dividend

1 min read     Updated on 02 Jul 2026, 04:37 AM
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Reviewed by
Shriram SScanX News Team
AI Summary

Zensar Technologies has fixed July 17, 2026, as the record date to determine eligibility for a final dividend of ₹12.60 per share, recommended for FY26. The 63rd AGM is set for July 30, 2026, via video conferencing to approve this payout.

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Zensar Technologies has fixed Friday, July 17, 2026, as the record date to determine shareholder eligibility for a final dividend of ₹12.60 per equity share. The payout, recommended by the Board of Directors for the financial year ended March 31, 2026, amounts to 630% of the face value of ₹2 per share. This dividend distribution is contingent upon approval by the members at the company's upcoming Annual General Meeting.

The 63rd Annual General Meeting of zensar technologies is scheduled for Thursday, July 30, 2026, at 3.30 P.M. IST via Video Conferencing and Other Audio-Visual Means. The meeting will be conducted in compliance with circulars and notifications issued by the Ministry of Corporate Affairs and the Securities and Exchange Board of India.

Pursuant to Regulation 42 of the SEBI (Listing Obligations and Disclosure Requirements) Regulations, 2015, the company notified the exchanges regarding the record date. The table below outlines the key details for the corporate action:

Scrip Code Type of security Record Date Purpose
NSE: ZENSARTECH

BSE: 504067
Equity Friday, July 17, 2026 Payment of final dividend of ₹12.60 (i.e. 630%) per equity share of face value ₹2 each, for FY 2025-26, subject to approval by the members at the 63rd AGM.

If the dividend is approved at the AGM, payment will be made within 30 days from the date of the meeting's conclusion, subject to tax deduction at source. The dividend will be credited to Beneficial Owners holding shares in dematerialized form based on data provided by the National Securities Depository Limited and the Central Depository Services (India) Limited as of the close of business hours on the record date. For members holding shares in physical form, payment will follow after giving effect to valid transmission or transposition requests lodged with the company by the record date.

Historical Stock Returns for Zensar Technologies

1 Day5 Days1 Month6 Months1 Year5 Years
+10.43%+15.87%-0.74%-26.20%-39.44%+53.83%

How will this significant 630% dividend payout impact Zensar Technologies' capital allocation plans for upcoming R&D or acquisitions?

What does this high dividend yield indicate about the company's free cash flow generation and growth prospects for FY 2027?

How might the market react to the stock price around the record date and ex-dividend date given the size of the payout?

Zensar Technologies launches ZenseAI.AgentMesh to scale AI adoption

1 min read     Updated on 19 Jun 2026, 07:27 PM
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Reviewed by
Radhika SScanX News Team
AI Summary

Zensar Technologies has launched ZenseAI.AgentMesh, an enterprise-grade agentic AI platform designed to help organisations discover, build, deploy, and govern autonomous AI agents at scale. The platform enables enterprises to move from AI ambition to production in 6–8 weeks and features a catalogue of 80+ pre-built agents. Early deployments have demonstrated significant operational impacts, including a 70% reduction in fraud losses and up to 30% reduction in operational costs.

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Zensar Technologies has launched ZenseAI.AgentMesh, an enterprise-grade agentic AI platform designed to help organisations discover, build, deploy, and govern autonomous AI agents at scale. The platform addresses the gap between AI pilots and production-grade deployments, enabling enterprises to transition from ambition to implementation in 6–8 weeks. This launch marks a pivotal step in zensar technologies 's evolution into a platform-led AI company.

The AgentMesh platform combines a flexible, interoperable architecture with a catalogue of 80+ pre-built agents spanning industry-specific verticals and cross-enterprise functions. It is designed to eliminate the complexity of building agentic systems from scratch, addressing challenges such as fragmented architectures, lack of governance, and limited interoperability. The platform features a six-layer architecture that integrates with enterprise systems through open connectors across platforms like SAP, Salesforce, ServiceNow, Snowflake, and Databricks.

Governance and Compliance

Built for enterprise trust, the platform embeds governance by design with EU AI Act and SR 11-7 alignment. It includes human-in-the-loop controls, audit trails, and full-stack observability to ensure regulatory compliance and operational security. The architecture supports flexible cloud or on-premise deployment, ensuring zero vendor lock-in for enterprises.

Sector-Specific Capabilities

The platform offers domain-led, ready-to-deploy agents built on real enterprise workflows. These span vertical use cases such as KYC, fraud detection, claims, and compliance, alongside horizontal capabilities like intelligent document processing, explainability, and audit logging. The platform is particularly suited for highly regulated sectors like financial services, where it meets standards for data sensitivity and regulatory scrutiny.

Early Deployment Impact

Initial implementations of the platform have demonstrated measurable business outcomes across various sectors. The following table summarizes the key impacts observed in early deployments:

Metric Impact
Straight-through processing in KYC workflows >75%
Reduction in fraud losses 70%
Reduction in manual effort in document-heavy workflows 60%
Reduction in operational costs Up to 30%
Improvement in workflow productivity 50%

Manish Tandon, CEO & Managing Director, Zensar Technologies, stated that the platform bridges the gap between AI potential and production by combining deep domain expertise with a platform-led approach. He noted that the solution enables enterprises to deploy AI agents at scale in weeks rather than years, making enterprise-grade agentic AI accessible and impactful from day one.

Historical Stock Returns for Zensar Technologies

1 Day5 Days1 Month6 Months1 Year5 Years
+10.43%+15.87%-0.74%-26.20%-39.44%+53.83%

How will Zensar's pivot to a platform-led AI model influence its revenue mix and profit margins over the next fiscal year?

What competitive threats do established AI infrastructure providers pose to Zensar's AgentMesh adoption in the long term?

Could the rapid 6–8 week deployment timeline lead to integration challenges or technical debt for complex legacy enterprise systems?

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