Pocket HRMS Honoured with the 'POSH AI Tech Innovator Award' at the 4th National PoSH Conclave & Excellence Awards 2026

[27.07.2026] New Delhi:

Pocket HRMS, the leading GenAI-based HR software provider, has been honoured with the prestigious 'POSH AI Tech Innovator Award' at the 4th National PoSH Conclave & Excellence Awards 2026, organized by NoMeansNo, a leading PoSH and POCSO compliance and consulting company. The recognition highlights Pocket HRMS' commitment to strengthening workplace safety through innovation, with its AI-powered e-PoSH module setting new benchmarks in proactive compliance and prevention. The award was presented during the National Conclave, attended by HR leaders, legal experts, PoSH professionals, and workplace safety advocates from across India.

The jury recognized Pocket HRMS for transforming PoSH from a record-keeping function into an intelligent system for employees' protection. Its AI-driven ePoSH module ensures real-time validation during Internal Committee setup to identify potential compliance gaps, uses predictive analytics to detect policy risks before they escalate, and automatically flags unresolved complaints for timely action. The recognition reinforces Pocket HRMS' vision of helping organizations build more compliant and inclusive workplaces through the AI-powered e-PoSH module.

Commenting on the recognition, Mr. Jitendra Somani, Co-founder of Pocket HRMS, said, "This award reflects our commitment to building a workplace rooted in dignity, respect, and accountability. Our AI-powered e-PoSH solution helps organizations strengthen workplace safety. We are honoured that our journey from compliance to culture has been recognized on a national platform."

A Framework Built on Governance and Culture

The AI-powered e-PoSH solution empowers organizations to strengthen PoSH governance through intelligent compliance. It enables confidential complaint management and automated workflows, promoting safer and accountable workplaces. Pocket HRMS secured the award for:

Custom e-PoSH Policy Creation

e-PoSH generates organization-wide PoSH policies using Generative AI, helping organizations create consistent, compliant policies that can be implemented seamlessly across multiple branches and locations.

Digital Complaint Registration

Employees can raise complaints through the Employee Self-Service portal and the mobile app. The 'Raise Voice' feature allows an employee to report an incident for themselves or for a colleague, keeping the route to the Committee direct and confidential.

Victim Identity Protection

The 'Hide My Identity' feature safeguards the complainant's identity throughout the reporting process. It ensures complete confidentiality while enabling the Internal Committee to investigate every case with the provided information. e-PoSH also provides employees the option to log complaints on behalf of affected colleagues.

Complaint Case Management

With e-PoSH, companies can track every complaint through a structured workflow with complete case histories and timeline visibility. Committee members can be assigned cases digitally to ensure timely resolution in accordance with the PoSH Act, 2013.

Complaint Timeline Management

The platform provides complete visibility into complaint histories and case timelines. It helps the Internal Committee of an organization to monitor progress, ensure timely resolution, and maintain compliance with the timelines prescribed under the PoSH Act, 2013. Besides, automated email notifications keep employees, Internal Committee members, and other stakeholders informed at every stage of the complaint lifecycle.

Insightful Compliance Reports

With e-PoSH, companies can generate detailed reports and compliance insights to monitor complaint trends and simplify statutory reporting. It streamlines complaint management for Internal Committee members, enabling them to make informed decisions.

Building the Next Phase of AI-Assisted PoSH Compliance

Building on this recognition, Pocket HRMS is developing the next phase of e-PoSH. Planned capabilities include an AI-powered policy assistant for employee queries, AI-assisted priority flagging to bring complaints requiring immediate review to the attention of authorised Committee members, and automated monitoring of critical statutory timelines.

The roadmap also includes secure case-document management with access controls and audit trails, structured inquiry-report preparation, and automated compilation of Annual Report information from recorded case data.

These capabilities are intended to reduce administrative effort and support timely governance, while all complaint assessment, investigation, findings, and decisions will remain with authorised Internal Committee members.



About Pocket HRMS

Established almost two decades ago, Pocket HRMS is a leading AI-first HRMS software in India, serving the needs of start-ups to large organizations. Its core values are delivering the best customer service, cost-effectiveness, and robust module offerings, using the best available technologies to solve everyday issues. The latest update has incorporated an improved AI-based attendance system and an AI chatbot - smHRty®- that can interact with employees to apply for leaves, answer queries, and more. Additionally, Pocket HRMS offers HRs a unique global look at their database with smHRt searcHR®, a unique implementation of its kind in the HR domain.



Contact us

www.pockethrms.com | sales@pockethrms.com | 9987144643

3rd Floor, B wing, Everest Nivara Infotech Park, 301, MIDC Main Rd, Indira Nagar, MIDC Industrial Area, Turbhe, Navi Mumbai, Maharashtra 400705

Pocket HRMS is a cloud-based, AI-powered HRMS designed to streamline HR processes for businesses of all sizes. Leveraging advanced technologies like Generative AI and Machine Learning, it automates payroll, attendance, recruitment, performance appraisals, and more. Innovative modules such as smHRty® (AI chatbot), smHRt Payroll® (ML-based payroll), and smHRt searcHR® enhance user experience with interactive and intelligent features, enabling employers to empower employees.

This release was published on openPR.