Key Responsibilities
- Process Understanding & Analysis
Study existing processes across departments such as HR, Finance, Sales, Marketing, Procurement, Operations, Design, Projects, Customer Service and Administration.
Understand how work is currently performed, including manual processes, approvals, reporting, data handling and communication workflows.
Identify repetitive, time-consuming and error-prone activities.
Map existing processes and identify opportunities for AI and automation.
Conduct process audits and recommend improvements.
- AI Implementation Across Departments
Identify practical use cases where AI can improve departmental efficiency.
Work closely with department heads to understand their challenges and requirements.
Design and implement AI-based solutions for day-to-day business activities.
Introduce AI Tools For Tasks Such As
- Data analysis and reporting
- Document creation and processing
- MIS and dashboards
- Email and communication automation
- Recruitment and HR processes
- Customer and sales follow-ups
- Content creation
- Market research
- Forecasting and business analysis
- Knowledge management
- Workflow automation
- Meeting summaries and action tracking
- SOP creation and process documentation
- Process Re-engineering
Evaluate whether existing processes should be automated, simplified, eliminated or redesigned before implementing AI.
Develop As-Is and To-Be process flows.
Redesign workflows to reduce unnecessary approvals, duplication and manual intervention.
Develop AI-enabled operating models for key business processes.
Ensure AI solutions integrate smoothly into existing systems and workflows. 4. AI Tools & Automation
Research and evaluate new AI tools, platforms and technologies relevant to the organization.
Implement suitable AI tools such as generative AI, workflow automation, AI agents, chatbots, OCR, document intelligence and analytics solutions.
Build or coordinate the development of AI-powered workflows and automated solutions.
Where required, work with external technology partners, software vendors and developers.
- Department-Wise AI Transformation The candidate will be responsible for identifying AI opportunities across functions, for example: HR
Resume screening and candidate shortlisting
JD creation
Employee communication
Attendance and leave analytics
HR MIS automation
Performance management support
Employee query management Finance
Invoice processing
Expense analysis
Payment tracking
MIS automation
Financial reporting
Data reconciliation Sales & Marketing
Lead analysis
Customer segmentation
Follow-up automation
Sales reporting
Content generation
Market and competitor analysis Operations
Process automation
Productivity tracking
Workflow optimisation
Inventory/operations analysis
Automated reporting Design / Projects
Project documentation
BOQ/document analysis
Design research
Project status reporting
Client communication support
Knowledge and reference management
Train employees and department heads on effective use of AI tools.
Develop department-specific AI use cases and guidelines.
Conduct workshops and awareness sessions on AI adoption.
Create prompt libraries, templates and standard AI workflows.
Monitor adoption and ensure employees are actually using implemented solutions.
- AI Governance & Risk Management
Establish guidelines for responsible use of AI within the organization.
Ensure confidentiality and protection of company and customer data.
Identify risks associated with AI-generated information and outputs.
Establish appropriate review and approval mechanisms for AI-assisted work.
Ensure AI implementation complies with company policies and applicable regulations. 8. Measurement & Continuous Improvement
Establish measurable KPIs for every AI implementation.
Track
- Man-hours saved
- Cost savings
- Reduction in turnaround time
- Reduction in errors
- Productivity improvement
- Adoption rate
- Process efficiency
Prepare periodic reports for management highlighting the impact of AI initiatives.
Continuously identify new opportunities for AI-driven improvement. Key Deliverables The candidate will be expected to:
Create an AI Transformation Roadmap for the organization.
Conduct department-wise AI opportunity assessments.
Build an AI Use Case Repository.
Identify and prioritize high-impact automation opportunities.
Implement AI solutions and measure their business impact.
Develop AI-enabled SOPs and workflows.
Train employees on AI tools and applications.
Establish a continuous improvement framework for AI adoption. Required Skills & Competencie
Strong understanding of business processes and workflow management.
Practical understanding of Generative AI and AI automation tools.
Ability to identify where AI can genuinely add business value.
Strong analytical and problem-solving skills.
Process mapping and process re-engineering skills.
Excellent communication and stakeholder management skills.
Ability to work with both technical and non-technical teams.
Strong project management skills.
Ability to understand business requirements and convert them into technology/AI solutions.
Strong presentation and documentation skills.
Preferred
Curiosity and willingness to continuously learn new AI technologies. Preferred Technical Knowledge Knowledge of some of the following will be an advantage:
ChatGPT / Gemini / Claude or similar AI platforms
Microsoft Copilot
AI Agents
Workflow automation platforms
Power Automate / Zapier / Make
Power BI / Business Intelligence
APIs and AI integrations
OCR and document processing
CRM/ERP systems
Prompt Engineering
RPA
Data Analytics
No-code / low-code automation platforms Key Performance Indicators (KPIs)
Number of processes analysed and improved
Number of AI/automations use cases implemented
Reduction in manual effort
Reduction in process TAT
Cost savings generated through automation
Improvement in productivity
Skills: automation,management,reporting,skills,adoption,communication,data,workflow,customer,ai & process transformation specialist
