TRAINING COURSE

AI Agent Adoption & Change Management

AI agents make autonomous decisions. That changes everything about how you manage change.

1 Day

12-20 Participants

Online or in-person

Professional Certificate

For senior leaders, change managers, HR professionals, and department heads managing AI adoption.

Talk to us

See the programme

WHY THIS MATTERS

The 80% Value Gap

Traditional change management wasn't designed for systems that make autonomous decisions

Your teams will either blindly trust AI outputs or spend more time checking than the AI saves

Agent performance degrades silently over time — most organisations won't notice until it's too late

80%

of organisations see no measurable earnings impact from gen AI

Source: McKinsey & Company, March 2025

IS THIS RIGHT FOR YOU

Who Should Attend

Senior leaders, change managers, HR professionals, and department heads responsible for AI adoption. Recommended: familiarity with change management concepts.

This is for you if…

✓

You're leading or supporting AI agent deployment in your organisation

✓

You want to understand the agent-specific change challenges that generic training doesn't cover

✓

You need to design human-AI collaboration models with clear roles and oversight

✓

You want practical frameworks for ongoing agent governance, not just launch-day readiness

This isn't for you if…

✗

You're looking for technical AI implementation skills (we offer separate technical tracks)

✗

Your organisation has no current or planned AI agent initiatives

✗

You want self-paced e-learning rather than live facilitation with a running case study

AFTER THIS TRAINING

What You'll Be Able To Do

Distinguish

Between traditional change principles and what's genuinely new with agent adoption

Apply

A comprehensive change planning framework designed for autonomous systems

Build

Appropriate trust in autonomous decision-making, addressing both over-trust and under-trust

Navigate

Stakeholder resistance with agent-specific engagement approaches that build genuine buy-in

Design

Effective human-in-the-loop and human-on-the-loop collaboration models

Communicate

Transparently about agent capabilities, limitations, and oversight mechanisms

Plan

For knowledge preservation and effective go-live in agent-augmented roles

Implement

Continuous monitoring, drift management, and adaptive governance for deployed agents

AFTER THIS TRAINING

What You'll Be Able To Do

Distinguish

Between traditional change principles and what's genuinely new with agent adoption

Apply

A comprehensive change planning framework designed for autonomous systems

Build

Appropriate trust in autonomous decision-making, addressing both over-trust and under-trust

Navigate

Stakeholder resistance with agent-specific engagement approaches that build genuine buy-in

Design

Effective human-in-the-loop and human-on-the-loop collaboration models

Communicate

Transparently about agent capabilities, limitations, and oversight mechanisms

Plan

For knowledge preservation and effective go-live in agent-augmented roles

Implement

Continuous monitoring, drift management, and adaptive governance for deployed agents

AFTER THIS TRAINING

What You'll Be Able To Do

Distinguish

Between traditional change principles and what's genuinely new with agent adoption

Apply

A comprehensive change planning framework designed for autonomous systems

Build

Appropriate trust in autonomous decision-making, addressing both over-trust and under-trust

Navigate

Stakeholder resistance with agent-specific engagement approaches that build genuine buy-in

Design

Effective human-in-the-loop and human-on-the-loop collaboration models

Communicate

Transparently about agent capabilities, limitations, and oversight mechanisms

Plan

For knowledge preservation and effective go-live in agent-augmented roles

Implement

Continuous monitoring, drift management, and adaptive governance for deployed agents

THE CURRICULUM

Programme Overview

8 modules. 1 day. Real capability.

Introduction & The Agent Change Challenge50 minutes — What's same, amplified, and new

What stays the same from traditional change management, what's amplified, and what's genuinely new with autonomous agents.

Why your existing change expertise still applies

What makes AI agents fundamentally different: autonomous decisions, multi-step reasoning, continuous adaptation

The five fundamental differences between agent adoption and traditional technology change

Hidden complexities: drift, error amplification, non-deterministic outputs

Psychology overview: trust dynamics, autonomy concerns, knowledge preservation

Exercise"CloudServe Introduction" — UK financial services organisation deploying customer service agents. Their challenge: traditional change approach wasn't working. Identify why.

Planning Agent Adoption50 minutes — A comprehensive framework

Building Appropriate Trust45 minutes — Psychology of agent adoption

Engaging Stakeholders50 minutes — Agent-specific concerns

Managing Human-Agent Collaboration50 minutes — Roles and decision authority

Communicating About Autonomous Systems50 minutes — Building trust through transparency

Training for Agent Collaboration & Go-Live50 minutes — Critical evaluation skills

Sustaining Performance Through Continuous Monitoring50 minutes — Perpetual change management

Full detailed agenda available on request

THE EXPERIENCE

How the Day Works

This is live, facilitated training built around CloudServe — a realistic UK financial services case study that runs through every module. Your team learns by applying frameworks to real scenarios, not sitting through presentations.

~40%

Case Study & Discussion

CloudServe evolves through each module. Facilitated group discussions connect frameworks to your specific context and challenges.

~35%

Framework Application

Hands-on exercises applying change planning, stakeholder mapping, HITL/HOTL design, and governance frameworks to your own AI initiatives.

~25%

Expert Instruction

Essential concepts and frameworks explained clearly. Agent-specific psychology, trust dynamics, and governance models you won't find in generic change management training.

Available online (via Zoom/Teams) or in-person at your location

All materials, frameworks, and reference guides included

No technical setup required — this is a frameworks and strategy course

Groups of 12–20 for meaningful discussion and peer learning

WHY SERPIN

What Makes This Different

Agent-Specific Psychology

Goes beyond generic 'resistance to change' to address automation bias, under-trust, perceived agency, and identity threats unique to autonomous systems.

HITL/HOTL Built In

Human-in-the-loop and human-on-the-loop design as a core principle throughout, not an afterthought. You'll design collaboration models, not just talk about them.

Perpetual Change Framework

Traditional change management assumes a start and end. Agent adoption requires continuous monitoring, drift management, and adaptive governance. This course prepares you for ongoing change, not just launch day.

COMMON QUESTIONS

Frequently Asked Questions

Do I need technical AI knowledge to attend?

How is this different from general change management training?

What if we haven't started deploying AI agents yet?

What do participants actually take away?

Can you tailor this to our organisation?

COMMON QUESTIONS

Frequently Asked Questions

Do I need technical AI knowledge to attend?

How is this different from general change management training?

What if we haven't started deploying AI agents yet?

What do participants actually take away?

Can you tailor this to our organisation?

COMMON QUESTIONS

Frequently Asked Questions

Do I need technical AI knowledge to attend?

How is this different from general change management training?

What if we haven't started deploying AI agents yet?

What do participants actually take away?

Can you tailor this to our organisation?

Ready to lead AI agent adoption that actually delivers?

Get in Touch

Have questions? Email training@serpin.ai