Role & responsibilities :

The role has six areas, and AI is the default tool in every one of them. In the first year, roughly 40% of time goes to documentation, 30% to building software, and 30% to adoption and reporting.

How AI is used in this role. We expect results to be produced with AI, not by hand. For example:

- Documentation: supervisor voice notes turned into SOPs, flowcharts, checklists and JDs within a day, and translated into Kannada, Tamil or Hindi.
- Building: AI coding assistants and no-code platforms used to build, fix and extend apps, reports and integrations without a development team.
- Analysis: AI used to analyse system data and Excel exports, find exceptions and draft the weekly report.
- Training: one-page guides, short video scripts and quizzes produced with AI in local languages.
- Automation: routine reports, client MIS and reminders automated so nobody prepares them by hand.

1. Process documentation

- Map how each core process runs today by observing the work and interviewing the people who do it.
- Turn each process into a flowchart, a standard operating procedure (SOP) and a checklist.
- Use AI tools to convert supervisor voice notes (Kannada, Tamil or Hindi) into draft SOPs.
- Get each SOP reviewed by the site head and approved by the MD before it goes live.
- Keep a single, version-controlled library of all SOPs, flowcharts and forms.

2. Roles and job descriptions

- Write a for every role, with responsibilities drawn directly from the approved SOPs.
- Define 35 measurable KPIs per role.
- Build an org chart for each business and site showing who reports to whom.

3. Software requirements and building

- Write transparent requirement documents for each module: screens, fields, approvals, rules and reports.
- Build modules on no-code platforms such as Zoho Creator or Google AppSheet.
- Design each module so the work cannot be completed without it: gate passes, pick lists, advances and invoices come only from the system.




- Brief and manage outside developers or vendors when a module needs custom code or integration with Tally or client systems.
- Test every module at one site before rolling it out.

4. Adoption and training

- Train supervisors and staff on the floor, in their language, with short demos and one-page guides.
- Follow up daily during rollout until each process runs only through the system.
- Identify champions at each site and support them.
- Raise non-adoption with the MD with data, not opinion.

5. Reporting and improvement

- Send the MD a weekly adoption report: usage by person and site, overdue tasks, and exceptions.
- Build dashboards for operations and client MIS from system data.
- Review each process quarterly and update the SOP and software when the work changes.

6. AI adoption across the company

- Teach managers, accounts staff and supervisors to use AI for their own daily work, such as reports, letters, client emails and analysis.
- Build and maintain a shared library of tested prompts and templates for common Esteem tasks.
- Track new AI tools and recommend the ones that would save time or money, with a short business case.
- Set simple rules for safe AI use, including what client and company data must not be shared.

Preferred candidate profile :

- 2 to 5 years in operations, supply chain, process improvement or business analysis.
- Has mapped processes and written SOPs that people actually followed.
- Uses AI daily to produce finished work (SOPs, analysis, reports, apps) and can show real examples; advanced Excel or Google Sheets.
- Fluent Kannada and English.
- Willing to spend most days on the floor, not at a desk; two-wheeler and travel to Bangalore and Chennai

Temperament we are looking for

- Firm but respectful. Holds the line with senior, long-serving staff without creating enemies.
- Patient teacher. Explains a screen five times to a supervisor without losing patience.
- Evidence over opinion. Raises problems with data and facts, not complaints.
- Ownership. Treats a module nobody uses as their own failure, not the users'.
- Integrity. Cannot be drawn into groups or informal arrangements at the sites.

📌 Process & Systems Manager (AI) (Dharwad)
🏢 Talent Corner HR Services
📍 Dharwad