AI-Enabled Client Service Executive

Santriya Technologies; United States; Remote; USD 90,000 - 120,000; Full time

Job summary

Santriya Technologies Ltd. seeks 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.

You will act as the operational contact for client requests, track SLAs, prepare service-review packs, and escalate risks as needed. This role emphasizes responsible use of AI as a supportive tool under human oversight.

Qualifications

• Experience coordinating client service delivery and governance.
• Ability to use AI-assisted tools for summaries and analysis.
• Strong focus on accuracy, privacy and security in client data.

Responsibilities

• Act as operational contact for client requests and follow-up actions.
• Use AI to summarize account history and prepare meeting notes.
• Track SLA, incidents, deliverables, risks and commitments.
• Coordinate internal owners and provide updates with evidence.
• Prepare service-review packs and trend analysis from data.
• Capture decisions and change requests with clear scope.
• Identify recurring issues and suggest improvements.
• Escalate risks to authorized managers when needed.

Skills

Client service coordination

AI-assisted analysis

SLA tracking

Job description

Job Summary

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.

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 clear 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