- Santriya Technologies is seeking an AI-Enabled Client Service Executive to coordinate day-to-day service delivery for assigned clients using AI-supported account summaries, issue analysis and documentation while maintaining accurate commitments and governance.

- 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:

- Act as operational contact for client requests, service questions and follow-up actions.

- Use AI to summarize account history, prepare meeting notes and identify open actions from controlled sources.

- Track SLA, incidents, deliverables, risks, dependencies and commitments.

- Coordinate internal owners and provide clients with timely, evidence-based updates.

- Prepare service-review packs and trend analysis using verified operational data.





- Capture decisions and change requests with explicit scope and approval status.

- Identify recurring service issues and recommend process or product improvements.

- Escalate commercial, regulatory, legal or material service risks to authorized managers.

- 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:
- Client satisfaction and action closure improve

- Service reviews are data-led

- Commitment leakage and ambiguity reduce

- Recurring issues decline

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