Purpose of the Role The AI Solutions Analyst identifies high-value opportunities to reduce manual work and delivers practical AI-assisted and automated workflows for the Process Excellence and Intelligence team. The role partners with business stakeholders to improve recurring processes across FP&A;, sales operations, reporting, and other operational teams. The successful candidate combines an AI-first, problem-solving mindset with hands-on automation capability. They will build secure, scalable solutions using Microsoft Power Platform and Copilot Studio or Python-based automation, working with business systems and data sources such as Excel, SharePoint, Power BI, Salesforce, Outlook, and Teams.

Key Responsibilities

- Identify repetitive, manual, or error-prone activities and assess where automation or AI assistance can create measurable value.
- Build and improve AI assistants, workflow automations, and reporting solutions for recurring business processes.
- Translate business requirements into clear workflow designs, acceptance criteria, validation rules, and support documentation.
- Automate recurring reports, data preparation, stakeholder reminders, approvals, exception tracking, and data-validation activities.
- Create solutions that can retrieve and use approved information from SharePoint files, Excel trackers, policy documents, process SOPs, and reporting repositories.
- Design validation and reconciliation checks for financial, sales-operations, and compensation-related data where required.
- Design appropriate human review and approval steps for sensitive outputs, including financial commentary, compensation calculations, and stakeholder communications.
- Partner with business, data, security,



and technology teams to connect solutions to relevant systems and data sources.
- Document process flows, automation logic, data lineage, controls, operating procedures, and support requirements.
- Track solution outcomes, including manual hours saved, error reduction, cycle-time improvement, adoption, and user feedback.
- Promote responsible AI use by testing outputs, identifying limitations, applying guardrails, and improving solutions based on real-world results. Required Skills and Experience
- Hands-on experience building workflow automations, AI assistants, or business applications using Microsoft Power Platform and Copilot Studio or a comparable AI platform.
- Strong data and automation skills, including Python Excel and Power Query, or comparable workflow automation tooling.
- Ability to translate manual business processes into transparent, controlled automation workflows.
- An AI-first mindset: curiosity to identify where AI can reduce repetitive work, improve decision-making, and enhance employee or stakeholder experiences.
- Practical understanding of how to design, test, validate, and continuously improve AI-assisted outputs, with appropriate human review for sensitive use cases.
- Experience designing validation checks, exception handling, approvals, and human review for business-critical outputs.




- Familiarity with enterprise collaboration and reporting tools such as SharePoint, Teams, Outlook, Power BI, or comparable platforms.
- Strong stakeholder communication, problem-solving, and process-documentation skills. Preferred Skills and Experience
- Experience with Microsoft Copilot Studio, Power Automate, Power Apps, Power BI, or related Microsoft cloud services.
- Experience with Python libraries for data processing, data validation, and Excel automation.
- Familiarity with Salesforce, Dynamics, or another CRM; experience with finance, FP&A;, sales operations, or sales compensation is advantageous.
- Knowledge of SQL, Dataverse, Azure AI, Azure Functions, Logic Apps, Microsoft Graph, RPA, or enterprise security and governance controls.
- Advanced Excel capabilities, including formulas, Power Query, VBA, macros, Office Scripts, or data modelling.
- Understanding of governance, DLP, security roles, access controls, and data-handling considerations for enterprise AI solutions.
- Experience integrating business systems through APIs, REST services, JSON, connectors, or file-based data exchanges.
- Experience measuring automation outcomes such as time saved, error reduction, adoption, and cycle-time improvement. Success Measures
- Reliable, adopted automations and AI solutions that solve meaningful business problems.
- Measurable reduction in manual effort, errors, and process cycle time.
- Well-controlled solutions with clear validation, human oversight, documentation, and support ownership.
- A growing pipeline of practical AI and automation opportunities aligned to business priorities.

📌 AI Solutions Analyst (Chennai)
🏢 Corpay India
📍 Chennai