- Santriya Technologies is seeking an AI-Enabled Operations Executive to run assigned product or service operations using documented workflows, AI-assisted case handling and measurable controls to deliver accurate, timely outcomes.

- Product & documentation operating model: You will be assigned one or more company products, client solutions or operational services.

- The approved product documentation, SOPs, policies, process maps, knowledge articles, release notes, controls, scripts and AI runbooks are the source of truth.

- Use only approved enterprise AI tools to retrieve, summarize, draft, classify, prioritize or automate work.

- Validate material AI outputs against current documentation and authoritative system data, record exceptions, and escalate conflicts or missing guidance.

- Do not invent product features, prices, customer entitlements, engineering limits, regulatory positions or safety instructions.

Key Responsibilities:

- Process assigned cases, orders, requests or operational tasks against defined SLAs and product rules.

- Use AI copilots to retrieve procedures, summarize cases, classify requests and propose next actions; validate before execution.

- Monitor work queues, aging, priorities and exceptions and rebalance effort as required.

- Maintain complete audit trails, evidence, customer/system notes and handoff information.

- Perform first-line quality checks and identify recurring failure patterns.





- Coordinate escalations across customer service, product, technology, finance, compliance or logistics teams.

- Follow data privacy, access, approval and maker-checker requirements.

- Recommend SOP, documentation or automation improvements based on measured pain points.

- AI-enabled ways of working:

- Use approved GenAI copilots, enterprise search/RAG, analytics and workflow agents to reduce repetitive work and improve decision preparation.

- Keep prompts, outputs and automated actions within approved data-access, confidentiality and retention rules.

- Correct inaccurate summaries, classifications or recommendations before they become customer, operational or system records.

- Feed recurring AI errors, knowledge gaps and process friction into product, documentation and control improvement.

- Human accountability: AI is a copilot, not the accountable decision-maker.

- The role holder remains responsible for judgement, quality, privacy, security and appropriate escalation.

- Credit, fraud blocking, legal/regulatory, financial advice, safety-critical, clinical, employment and other high-impact decisions must follow delegated authority and required human review.

- Success Measures:
- SLA attainment and right-first-time improve

- Backlog and rework reduce
- Audit trail completeness remains high

- Automation removes repeatable work without increasing risk

📌 AI-Enabled Operations Executive (Chennai)
🏢 Santriya Technologies
📍 Chennai