Leading People Through Agentic AI Transformation: A No-Code Change Management Playbook

Every wave of technology ultimately succeeds or fails on human ground. Generative AI systems now draft documents, analyse data, and converse with customers, and a newer class of agentic AI systems can plan, decide, and execute multi-step tasks with limited human intervention. Industry evidence, however, is consistent: most AI initiatives stall not because the technology fails, but because people, culture, and change management do — employees resist tools they do not trust, middle managers feel bypassed, stakeholders are consulted too late, and adoption withers after the pilot. Leading AI transformation is therefore, at its core, an organizational behaviour and human resource challenge: one of trust, fairness, capability, communication, and change. This two-day Management Development Programme approaches AI adoption from that people-first vantage point. Using no-code tools, so that no programming background is ever required and participants experience the technology first-hand, and then learn to lead the human side of its adoption: mapping stakeholders, building change coalitions, managing resistance, redesigning roles, and ensuring that AI deployment is perceived as fair, transparent, and trustworthy by the workforce.

Objective

The programme equips senior and mid-level managers, HR leaders, and change agents to lead AI-enabled transformation with people at the centre. On completion, participants will be able to:
• Explain, in business language, how generative and agentic AI systems work, how they differ, and how they reshape jobs, roles, skills, and the employee     experience.
• Conduct a systematic stakeholder analysis for an AI initiative: mapping influence and interest, anticipating concerns of employees, unions, middle    
  managers, customers, and regulators, and designing engagement strategies for each.
• Apply established change management frameworks to AI adoption, diagnosing change readiness, building guiding coalitions, managing resistance, and 
  sustaining adoption beyond the pilot stage.
• Design AI deployments that employees perceive as fair and trustworthy, drawing on organizational justice principles — transparency of process, voice,
  dignity, and explanation to build psychological safety around new technology.
• Reimagine core HR processes: talent acquisition, learning and development, performance enablement, and employee listening — with AI copilots, while
  managing associated risks such as bias, hallucination, and data privacy.
• Align people-related AI practices with the Indian regulatory environment — the DPDP Act 2023 and allied MeitY guidance — alongside global
  frameworks such as the GDPR and the EU AI Act.
• Prepare an executive-ready AI change roadmap for their own organization, integrating use cases, stakeholder engagement, capability building,
   communication, and adoption metrics.

Contents

The programme unfolds over two intensive days, blending conceptual sessions, no-code laboratory work, and change-leadership practice:
Day 1: Foundations - AI, Work, and the People Leader
• The AI landscape for decision-makers: from chatbots and copilots to autonomous agents — what has changed, and what it means for organizations,   
  jobs, and skills.
• How large language models actually work: capabilities, limits, and the leader’s mental model (no mathematics, no code).
• The future of work with AI agents: task redesign, role evolution, human–AI collaboration, and the shifting psychological contract.
• No-Code Lab I: participants create their first AI assistant and a working web page using prompt-driven, no-code tools.


Day 2: Leading the Change — From Pilot to Embedded Practice
• Change management for AI transformation: diagnosing readiness, building the guiding coalition, communicating the case for change, and celebrating
  early wins — classic change frameworks applied to AI adoption.
•  Managing resistance: understanding job-security anxiety, skill threat, and status loss; engaging middle managers as change carriers rather than
   casualties; and the role of employee voice and participation.
•  Governance with a human face: DPDP Act 2023, MeitY and IndiaAI guidance, GDPR, and the EU AI Act; human oversight, guardrails, and adoption
   metrics and KPIs that track people outcomes, not just technology outcomes.
• Capstone workshop: each participant drafts a AI change roadmap for their organization — use cases, stakeholder plan, communication strategy, 
   capability plan, and success metrics — and presents it for structured peer and faculty feedback

Who should attend?

This programme assumes no prior experience with AI tools or programming. It is designed for professionals who must lead people through AI adoption — not build the technology. It is ideal for:
• CXOs and senior executives sponsoring AI and digital transformation initiatives.
• CHROs, HR heads, and HR business partners shaping AI-era talent and workforce strategy.
• Functional heads and business leaders responsible for leading their teams through technology-driven change.
• Learning and development, organizational development, and change management professionals.
• Public administration officials responsible for digital transformation and workforce transitions.
• Consultants and advisors guiding client organizations through the people side of AI-enabled

Venue & Duration

The programme is scheduled during January 06-07, 2027 on a residential basis at MDI Campus, Mehrauli Road, Sukhrali, Gurugram. Accommodation for participants would be available at MDI Campus from the noon of January 05, 2027, to the forenoon of January 08, 2027.

Registration & Fees

Participants should be nominated by their organizations. The enclosed nomination form should be completed and returned with all the details. The fee of the program is Rs. 50,000/- (Rupees Fifty Thousand only) per participant which includes a professional fee and all charges for boarding, lodging and supply of course materials during the programme. GST as applicable will be charged extra in addition to the programme fee. Payment should be made by Cheque/NEFT/RTGS.


Discount Policy
With a view to our long-term relationship with your esteemed organization, we are pleased to introduce the discount policy in this programme. The discount will be observed in the following conditions: (discount is applicable in NEPAL also)
• 10% Discount against 3-5 nominations
• 20% Discount against more than 5 nominations

Important Dates

The last date for receipt of nominations is December 22, 2026. The last date for withdrawal of nominations is December 23, 2026. Any withdrawal received after this date will be subject to deduction as per the Institute's rules. However, substitution may be permitted.
Nominating organizations are advised to await confirmation of acceptance of nominations(s) before sending the participants to the programme venue.
For enquiry, please contact at [email protected] or +91-124-4560008.