Shaping the AI-Enabled Team
- Explore how AI can improve quality, efficiency and value across team activities.
- Define what effective AI use should look like for the team.
AI Capability SeriesAI Team Leader
Turn individual AI use into stronger team performance.
Build the capability to shape how a team works with AI – setting direction, building confidence, spreading good practice and establishing clear standards for responsible, high-quality performance.
AI capability varies across a team. Some team members experiment early and find useful ways to improve their work. Others remain cautious, inconsistent or unclear about what good AI use looks like.
The manager’s role is to bring greater coherence to that picture. This means creating shared expectations, encouraging useful experimentation, spreading what works and making quality, judgment and responsible use part of normal team practice.
AI Team Leader equips managers to turn uneven AI use into shared team practices, clearer standards and stronger performance.
By the end of the course, participants will be able to:
Define what effective AI use should look like for the team and connect it to the work that matters.
Model practical AI use openly, share what works and what does not, and make experimentation part of normal team practice.
Recognise why some team members hesitate or disengage, then provide the support, tools and guidance needed to move forward.
Turn individual successes into team-wide approaches that can be repeated, improved and extended.
Create team agents and workflows that improve how work gets done while keeping human judgment in the right places.
Set expectations around data, checking, sign-off and appropriate use.
Define what good AI-enabled work looks like, including how outputs are reviewed, challenged and reflected in performance expectations.
Explore key areas involved in leading a team to work and perform effectively with AI.
The experience combines structured preparation, two days of in-person learning, workplace application and follow-up support.
AI Team Leader is designed for people leaders who already use AI themselves and now need to guide how it is adopted, applied and governed across the team.
Create clear expectations for how AI supports quality, productivity and decision-making.
Examples: Team Leads, Supervisors and Department Managers.
Help teams use AI more effectively across high-volume or repeatable activities.
Examples: Sales, Customer Service, Operations and Finance Managers.
Guide teams that are already experimenting with AI, while supporting those who are less confident or less engaged.
Examples: Technology and Engineering Managers, HR Managers and L&D Managers.
Participants should already be comfortable using AI in their own work and be leading, or preparing to lead, an intact team. Coding or specialist technical expertise is not required.
The course focuses on how useful AI habits spread across a team, where they stall and what leaders can do to create greater consistency.
Participants rehearse the conversations, decisions and interventions needed to build confidence and address hesitation.
Individual successes are translated into approaches the wider team can adopt, adapt and improve.
Participants build a shared team agent and workflow, linking practical AI use directly to team performance.
Quality, responsible use and performance expectations are considered as part of the same team operating environment.
The Ask Me Anything session creates space to review what happened once the approaches were tested with the team.
Leadership Development & AI Capability Specialist
LinkedInprofile of Jasbir Singh (opens in a new tab)
Jasbir Singh is a Senior Principal in Korn Ferry’s Advisory practice, specialising in leadership development, talent assessment and AI capability building. He brings extensive consulting experience across industries, helping organisations strengthen leadership effectiveness, develop high-performing teams and navigate evolving workforce challenges.
At Korn Ferry, Jasbir leads curriculum and product development for Korn Ferry Academy, translating research and leadership insights into practical capability-building programmes. His work increasingly focuses on the intersection of AI and leadership, particularly how managers can harness AI to improve team productivity, strengthen decision-making and enable new ways of working. He has also led applied research into the future of HR in an AI era, drawing on insights from senior business and HR leaders.
As a consultant and facilitator, Jasbir combines evidence-based leadership practices with practical AI applications, helping managers identify meaningful opportunities for AI adoption, exercise sound judgement and lead their teams through change while maintaining the human elements of effective leadership.
Eligible Singapore Citizens and Permanent Residents may receive up to 90% course fee funding for selected courses. The amount payable depends on whether the course is self-sponsored or company-sponsored and the participant’s eligibility.
Course feeS$2,750 before funding and GST
| Participant Eligibility | Self-Sponsored | Company-Sponsored | |
|---|---|---|---|
| SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training. | Non-SME | ||
| Singapore Citizen, aged 40 and above | Self-SponsoredS$349.2590% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under the Mid-Career Enhanced Subsidy (MCES) for eligible Singapore Citizens aged 40 and above. | Company-Sponsored · SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training.S$349.2590% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under Enhanced Training Support for SMEs (ETSS), where the employer and participant meet the applicable eligibility criteria. | Company-Sponsored · Non-SMES$349.2590% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under the Mid-Career Enhanced Subsidy (MCES) for eligible Singapore Citizens aged 40 and above. |
| Singapore Citizen below 40 / Permanent Resident | Self-SponsoredS$899.2570% funding applied70% Funding AppliedThe displayed fee reflects 70% course fee funding for eligible Singapore Citizens and Permanent Residents, subject to prevailing funding conditions. | Company-Sponsored · SME SMESmall and Medium Enterprises (SMEs) are companies that meet the government’s prevailing SME eligibility criteria. Eligible SMEs may qualify for enhanced course fee subsidies when sponsoring employees for training.S$349.2590% funding applied90% Funding AppliedIncludes 70% baseline course fee funding and an additional 20% under Enhanced Training Support for SMEs (ETSS), where the employer and participant meet the applicable eligibility criteria. | Company-Sponsored · Non-SMES$899.2570% funding applied70% Funding AppliedThe displayed fee reflects 70% course fee funding for eligible Singapore Citizens and Permanent Residents, subject to prevailing funding conditions. |
| International Participant | S$2,997.50No government funding | ||
Government support is available through course fee subsidies and additional credits. The schemes below explain how eligible individuals and employers may benefit.
These are reflected in the applicable payable fees shown above.
Eligible Singapore Citizens and Permanent Residents may receive up to 70% course fee funding for SWDA-supported courses, subject to prevailing eligibility requirements.
View scheme detailsfor Skills and Workforce Development Agency (SWDA) Funding (opens in a new tab)Singapore Citizens aged 40 and above may qualify for enhanced course fee subsidies of up to 90%, inclusive of baseline funding.
View scheme detailsfor Mid-Career Enhanced Subsidy (MCES) (opens in a new tab)Eligible SMEs that fully sponsor their Singapore Citizen or Permanent Resident employees for SWDA-supported courses may receive up to 90% course fee funding.
View scheme detailsfor Enhanced Training Support for SMEs (ETSS) (opens in a new tab)These may help eligible individuals and employers further offset their remaining training costs.
Singapore Citizens aged 25 and above may use their available SkillsFuture Credit (Base Tier and, where eligible, Mid-Career Tier) to offset payable course fees for eligible courses.
View scheme detailsfor SkillsFuture Credit (for Individuals) (opens in a new tab)Eligible employers may utilise their SFEC to offset out-of-pocket costs for supported courses, subject to prevailing scheme requirements.
View scheme detailsfor SkillsFuture Enterprise Credit (SFEC) (opens in a new tab)AI Team Leader is designed for managers who already use AI in their own work and are now responsible for how a team adopts, applies and performs with it.
Typical participants include Team Leads, Supervisors, Department Managers, Sales and Customer Service Managers, Operations and Finance Managers, Technology and Engineering Managers, and HR or L&D Managers.
Participants should already be comfortable using AI themselves, at around the level developed in AI User: Reinventing Your Work and Impact.
The course assumes familiarity with everyday AI tools so the focus can shift from individual use to leading a team.
No coding or specialist technical background is required.
Participants build a shared team agent and workflow using accessible tools, while the main focus remains on leadership, team practices and performance.
The experience includes approximately three hours of pre-work, a two-day in-person workshop, a short post-course assessment, workplace application and a virtual Ask Me Anything session approximately two weeks later.
Participants work on the realities of their own team: mapping current AI use, identifying where confidence or capability varies, practising coaching conversations, setting guardrails and defining standards for AI-enabled work.
The workshop also includes hands-on work to build and test a shared team agent and workflow.
That is a common starting point. The course looks at how leaders can make useful practices more visible, spread what works and support team members who are less confident or less engaged.
The aim is greater consistency across the team without expecting everyone to work with AI in exactly the same way.
The course helps leaders bring greater structure to existing AI use by setting expectations around quality, responsible use, checking, approval and performance.
It also provides ways to turn isolated individual practices into approaches the wider team can understand and adopt.
The course connects AI use to the way the team operates: how good practices are shared, how work quality is checked, how recurring activities can be improved and how performance expectations are set.
This helps managers move from isolated productivity gains toward more consistent team-wide performance.
Yes. Participants build a shared team agent and workflow during the course.
The emphasis is on how these tools support the team’s work, where human judgment should remain and what standards are needed for reliable use.
AI User develops the capability to use AI effectively in individual work.
AI Team Leader builds on that foundation by focusing on collective performance: shared practices, team confidence, workflows, guardrails and standards for AI-enabled work.
General AI training often focuses on how individuals use AI tools.
AI Team Leader focuses on the manager’s responsibility for the team – shaping how AI is used, building confidence, spreading useful practices and setting standards for responsible performance.
Participants leave with practical approaches and outputs that may include:
| Intake | Key dates | |
|---|---|---|
| Workshop | Ask Me Anything | |
| February 2027 | 22 & 23 Feb | 12 Mar |
| April 2027 | 15 & 16 Apr | 30 Apr |
| September 2027 | 1 & 2 Sep | 17 Sep |
Different responsibilities call for different capabilities. Explore the course aligned to how participants are expected to contribute in an AI-enabled organisation.
Reinventing Your Work and Impact
Use AI purposefully and responsibly to improve individual work and impact.
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Lead AI-enabled teams to strengthen performance, ways of working and decision-making.
Innovating Business Processes
Redesign business processes around AI to create value while preserving human judgment, trust and control.
Explore courseDelivering Enterprise Value
Build readiness, mobilise stakeholders and drive sustained AI adoption across the organisation.
Explore courseJoin an upcoming public intake or speak with Korn Ferry Academy about bringing AI Team Leader: Elevating Team Performance to your organisation.