Leading teams in the age of AI is a manager program for teams that work alongside copilots and AI agents. It covers redesigning workflows, deciding what to delegate to AI, quality checks for AI output, trust, coaching people through role change and measuring team performance. Bodhih designs it with ADDIE and customises it to each client's tools.
- Recommended: 1.5 days in person, or 4 × 3-hour live virtual sessions, plus a 60-day team pilot
- Level: Intermediate · In person · Live virtual · Blended
- Designed with the ADDIE model and customised to your context
- Offered by Bodhih since 2008 to 2,000+ organisations across 7 regions
Also known as: human AI team leadership training, managing teams with AI agents, AI team leadership program, leading AI enabled teams
Where and how: leading teams in the age of AI training as an in-person workshop in Bengaluru, Mumbai, Delhi NCR, Gurugram, Hyderabad, Chennai, Pune, Kolkata, Ahmedabad and Jaipur; as a live online course; or delivered overseas in Dubai, Singapore and across the Middle East, Asia and Africa.
Last reviewed · Bodhih Training, Bengaluru
AI has joined the team. Management habits have not caught up.
Across India's GCCs, IT services firms, banks and shared services, AI tools have moved from pilots into daily work. Managers now assign work to people and to machines, review output they did not create and field anxious questions about the future of roles.
Tool training explains the buttons. Leading teams in the age of AI focuses on the manager's job: deciding who or what does which task, protecting quality and ethics, and helping people build the skills and confidence to grow alongside AI.
A PwC India-FICCI study reported average AI literacy across Indian GCC leadership teams at just 27%.
Microsoft's 2025 Work Trend Index found 82% of leaders expect to use digital labour to expand workforce capacity within 12 to 18 months.
What participants will be able to do
Redesign team workflows
Break team work into tasks and decide which to automate, which to augment with AI and which to keep fully human.
Set quality guardrails
Define review steps, accountability and red lines for AI-generated output in your team's context.
Build trust in AI adoption
Talk openly about what AI will and will not change, and address fears with honesty rather than hype.
Coach people through role change
Hold career conversations that help team members build new skills as their roles shift.
Measure what matters
Update team metrics to track quality, customer outcomes and learning, not just speed or volume.
Lead responsible use
Apply your organisation's AI policy on data, privacy and bias in daily team decisions.
Who should attend
- Engineering, delivery and product managers in GCCs and IT services
- Operations and shared services managers deploying AI agents
- Managers in BFSI, marketing, HR and customer service teams using copilots
- Senior managers leading AI pilots across several teams
- HR and L&D leaders supporting managers through AI adoption
Program outline
Recommended design, customised to your context after a short needs analysis.
01What changes when AI joins the teamModule 1 · 90 min+
- Copilots, assistants and agents: what each can and cannot do
- Your team's current AI use: an honest audit
- How the manager's job is shifting
- Myths and realities about AI and jobs
02Redesigning work for human + AI teamsModule 2 · 2 hours+
- Task mapping: automate, augment or keep human
- Hand-offs between people and agents
- New roles: reviewer, prompt owner, AI champion
- Practice: redesigning one real team workflow
03Quality, risk and accountabilityModule 3 · 90 min+
- Human-in-the-loop checkpoints that fit the risk
- Spotting hallucinations, bias and data leakage
- Who is accountable when AI output is wrong
- Applying your AI policy in daily decisions
04Building trust and handling fearModule 4 · 90 min+
- Talking honestly about AI and job security
- Transparency on how AI is used in decisions about people
- Handling sceptics and over-enthusiasts
- Role-play: a team member who fears being replaced
05Coaching an AI-ready teamModule 5 · 2 hours+
- Skills mapping for changing roles
- Career conversations when the job is moving
- Encouraging safe experimentation and sharing
- Protecting human skills: judgement, empathy, client sense
06Performance and the 60-day pilotModule 6 · 60 min+
- Rethinking team metrics and targets
- Recognising learning and improvement
- Designing your 60-day team pilot
- Review routine with your manager
How we deliver it
Tool-agnostic, context-specific
We work with whatever AI tools your organisation has approved, and build cases from your real workflows and policies.
Hands-on workflow redesign
Managers map and redesign a real team workflow during the program, rather than discussing AI in the abstract.
Team pilots
Each manager runs a 60-day pilot with their team, such as a new review step or an agent hand-off, and shares results.
Linked to AI literacy
Managers who need a foundation first can take our AI for Leaders or AI literacy programs before this one.
Tailored versions
For GCC and technology teams
Focuses on coding copilots, agentic workflows, code review, testing and working with global product owners.
For operations and shared services
Covers AI agents in ticketing, finance and HR operations, exception handling and redeploying people to higher-value work.
For senior leadership teams
A half-day format on setting AI ambitions for teams, workforce planning conversations and role-modelling responsible use.
How we measure impact
We follow ADDIE's Evaluate stage. Managers complete a pre and post assessment of AI-era leadership behaviours on AssessAll, Bodhih's AI assessment platform, and their teams answer a short pulse on clarity, trust and confidence with AI before and after the pilot. Reporting managers hold 30, 60 and 90-day check-ins. With your business and HR teams, we review pilot results against agreed indicators such as cycle time, rework, quality and employee confidence.
Pair this program with AssessAll, Bodhih’s AI assessment platform, for pre- and post-program skill measurement.
Frequently asked questions
How do managers lead teams that use AI?
They decide which tasks AI should handle, set clear quality and accountability rules, talk openly about how roles will change and coach people to build new skills. They also update team metrics beyond speed. Leading teams in the age of AI training turns each of these into a practical routine managers can apply straight away.
How do you redesign work for AI agents?
Break the workflow into tasks, then decide for each whether to automate, augment or keep it human, based on risk, judgement and value. Define hand-offs and review points between people and agents. Start small with one workflow and learn. Managers redesign a real workflow from their own team during the program.
How do you check the quality of AI-generated work?
Match the level of review to the risk. Low-risk drafts may need a quick scan, while client, financial or legal outputs need careful human review. Check facts, sources, bias and data exposure, and keep a named person accountable. The program helps managers design review checkpoints that fit their team's work.
How do you reduce employee fear of AI?
Be honest about what you know and do not know, involve people in deciding how AI is used, show how their skills remain valuable and invest visibly in their learning. Avoid hype and vague reassurances. Managers practise these conversations in role-plays, including with team members who fear being replaced.
What skills do managers need in the age of AI?
Managers need basic AI literacy, work design, judgement about risk and quality, change leadership and coaching. Human skills such as empathy, trust-building and clear communication matter more, not less. This program focuses on the leadership skills, while our AI literacy and AI for Leaders programs build the technical foundation.
How is this different from your AI for Leaders program?
AI for Leaders builds understanding of AI capabilities, strategy and risk for senior leaders. Leading teams in the age of AI is about the day-to-day management of teams that already use AI: workflows, quality, trust and coaching. A useful sequence is AI for Leaders first, then this program for people managers.
Which AI tools does the training use?
It is tool-agnostic. We use the tools your organisation has approved, such as Microsoft Copilot or other assistants and agents, and respect your data and security policies. Where tools are still being chosen, we use neutral examples. Hands-on tool skills can be added through our Copilot and generative AI programs.