Skip to content
PROGRAM 19 · TEAM TRAINING

AI & Data for Executives & Leaders

Lead the AI shift in your company, with a plan, not hype.

Who books it: Leadership teams, senior managers and department heads, usually booked by the CEO's office or HR

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
CHOOSE A FORMAT

Who this course is for

  • CEOs, MDs, directors and senior management teams
  • Department heads and business unit leaders
  • Strategy, transformation and PMO leads
  • Leaders in local groups, banks, RMG, telecom, pharma and fast-growing startups

What your team will be able to do

  • Use AI daily for briefs, decisions, emails and meeting preparation
  • Read dashboards critically and ask better questions of data
  • Map where AI pays off in your company and set a 90-day roadmap
  • Govern AI use with a clear policy, risk register and owners
How it runs

3 days at your office, 8 sessions

Three sessions a day plus a hands-on build lab every afternoon. Day 3 ends with capstone presentations.

Day 1

9:00 am – 5:00 pm

AI chatbots for leadership work

9:00–10:30S1Prompt engineering for leaders
10:30Tea break
10:45–12:15S2Your personal AI edge
12:15Lunch & prayer
1:00–2:30S3AI strategy, opportunities & governance
2:45–4:30LABBuild lab: decision memo and AI opportunity map
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

KPIs and data, then the first two builds

9:00–10:30S4Reading data like a leader
10:30Tea break
10:45–12:15S5Dashboards, KPIs & board reporting
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Policy assistant & alerts
2:45–4:30LABBuild lab: KPI dashboard, assistant and alerts
4:30–5:00Q&A and day recap

Day 3

9:00 am – 5:00 pm

Last two builds and the capstone

9:00–10:30S7Project 03: Management approvals
10:30Tea break
10:45–12:15S8Project 04: Board pack extraction
12:15Lunch & prayer
1:00–3:00LABCapstone build clinic
3:15–4:30LABCapstone presentations
4:30–5:00Certificates and next steps
Group: 10–40 people from one organisationSame content and projects in both formatsBangla delivery with English technical termsEvery session ends with a deliverable
Curriculum

8 sessions, one build in each

3 modules · 8 sessions · 4 hands-on projects

PART 1AI Chatbots for Leadership WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for leadership work (board pack summaries, strategy drafts, scenario thinking, executive emails)
  • Free vs paid tiers; a workflow that needs no international payment card
  • Bangla vs English output quality; when to draft in English and translate
  • Which tool for a long document, which for a formula, which for a polished letter

Prompt Engineering Fundamentals

  • What a prompt is; why the same question gives different answers
  • The four-part structure: role, context, task, output format
  • Role prompting: act as a CEO, strategy adviser, board secretary or chief of staff
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own leadership work
  • Step-by-step reasoning for multi-part tasks such as weighing three investment options or reviewing a department's budget request
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a strategy paper (situation → options → risks → recommendation → one-page summary) into a sequence of smaller steps

Iteration & Prompt Library Building

  • Why the second prompt matters more than the first; refining instead of restarting
  • Diagnosing a bad output: vague instruction, missing context or wrong tool
  • Building reusable prompt templates for repeated leadership tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: board papers and minutes, unannounced results, M&A and investment plans, salary data, regulator correspondence
  • Anonymising data before prompting; safe vs unsafe leadership use cases
  • Hallucination awareness; verifying every figure, date, name and legal reference
  • The verification rule: AI drafts, a person checks before anything leaves the building
DELIVERABLEa personal prompt library of 10 templates for your repeated leadership tasks.
PART 2Leadership Data Analysis in Excel & Google SheetsSessions 4–5
PART 3Applied Projects: AI Assistants & AutomationSessions 6–8
Applied projects

Four automations, running in your organisation

01Session 6

Company Policy & Strategy Assistant

Managers and department heads ask about policies and delegation of authority and get answers from your own documents, with the section cited.

  1. INPolicies, DoA & strategy paper
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Board & Regulatory Calendar Engine

Board, committee and AGM dates, regulatory filings, renewals and audit closures checked daily, with alerts 30, 15 and 7 days ahead.

  1. INBoard & regulatory calendar
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Management Approval Workflow

Capex, budget, hiring and policy exception requests routed by amount and type under the delegation of authority, with every decision logged.

  1. INApproval request form
  2. RULESMake approval routing
  3. OUTLogged decision and approver
Built with Make · Forms · Sheets
04Session 8

Report & Board Pack Extraction

Monthly department reports become one leadership summary sheet, with KPIs outside tolerance and late reports flagged.

  1. INDepartment reports & MIS packs
  2. AIGemini structured extraction
  3. OUTLeadership summary sheet
Built with Gemini API · Drive

Capstone presentation

Each person presents one automation built for their own workplace.

Day 3 afternoon
Applied across every session

Responsible & Ethical AI in Leadership

Fairness & Non-Discrimination

  • Where bias enters leadership decisions: data, wording, criteria and past patterns
  • Proxy discrimination: address, age, gender or background inferred indirectly

Privacy & Data Protection

  • Data minimisation: collect only what the decision requires
  • Retention and deletion of employee, customer and shareholder data

Responsible AI Leadership & Governance

  • Setting the tone: leaders follow the same AI rules as staff
  • Being honest with staff, customers and regulators about AI use

Accountability & Human Oversight

  • Human-in-the-loop by design: AI recommends, a named person decides
  • Who owns an AI-assisted decision when it is challenged

Workforce Impact & Your AI Use Policy

  • Talking to leadership teams about AI without triggering job-loss fear
  • Reskilling and role redesign as AI absorbs routine work
Outcomes

By the end, your team can

  • Choose the right AI tool and write prompts that work first time
  • Maintain a prompt library covering your repeated leadership tasks
  • Use AI for briefs, decisions and communication every day
  • Map AI opportunities and choose pilots with defensible ROI
  • Read dashboards critically and structure a clear board pack
  • Build and deploy automations with Make, Apps Script and the Gemini API
  • Apply fairness, transparency and privacy to every AI-assisted decision

And leaves with

An executive prompt kit and a decision memo template
An AI opportunity map, risk register and 90-day roadmap
A leadership KPI dashboard and board pack outline
A grounded company policy & strategy assistant your colleagues can use
A board & regulatory calendar engine that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own company

Tools your team will use

Chatbots
ChatGPTGeminiClaudeCopilotDeepSeek
Content
CanvaGammaCapCutGoogle Slides
Data
Microsoft ExcelGoogle SheetsPower Query
Workspace
GmailCalendarMeetFormsDrive
Automation & AI builds
MakeGoogle AI StudioApps ScriptGemini API
Leadership tools
NotebookLMMicrosoft CopilotLooker StudioGamma

What participants need

  • A laptop with Excel and a Google account
  • A recent management report or board pack with sensitive figures masked
  • One real work file to practise on from Session 2
  • No coding background required; free tiers only

How your team will learn

  • build-along classes (you work while the trainer works)
  • practise on your own workplace file, not dummy data
  • every session ends with a deliverable
  • Bangla delivery with English technical terms
  • recordings, prompt library and setup guides
  • certificate after capstone submission
Request a proposal

Bring this program to your leadership team

Tell us about your team. We reply within one working day with a plan built around your own documents and workflows.

  1. 1 · A short discovery call with your leadership lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp