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PROGRAM 13 · TEAM TRAINING

AI & Data for NGO & Development Professionals

Faster proposals, cleaner survey data, and donor reports that write themselves.

Important: Beneficiary data is sensitive and often belongs to vulnerable people. Names, phone numbers, locations, case details and photos are never pasted into public AI tools, and AI never decides who receives support.

8 sessions3 modules4 hands-on projects3 days · 9 am–5 pmCertificate on completion
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Request a proposalSee the curriculum

Who this course is for

  • Programme Managers, Project Coordinators and Field Managers
  • M&E, MEAL and research teams
  • Grants, partnerships, communication and donor reporting staff
  • Finance, admin and compliance teams in NGOs, INGOs and development projects

What your team will be able to do

  • Draft concept notes, proposals and logframes from your own past work
  • Write donor reports and case stories faster, with accurate figures
  • Clean KoboToolbox survey exports and track indicators with AI help
  • Deploy four working automations in your own organisation
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 development work

9:00–10:30S1Prompt engineering for development
10:30Tea break
10:45–12:15S2Proposals, concept notes & logframes
12:15Lunch & prayer
1:00–2:30S3Donor reporting & case stories
2:45–4:30LABBuild lab: concept note and donor report on your files
4:30–5:00Q&A and day recap

Day 2

9:00 am – 5:00 pm

Survey analysis, then the first two builds

9:00–10:30S4Formulas & survey data cleaning
10:30Tea break
10:45–12:15S5M&E analytics & donor narrative
12:15Lunch & prayer
1:00–2:30S6Project 01 & 02: Donor assistant & tracker
2:45–4:30LABBuild lab: indicator 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: Fund requisition approvals
10:30Tea break
10:45–12:15S8Project 04: Field voucher 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 Development WorkSessions 1–3

Chatbot Landscape & Tool Selection

  • Gemini, ChatGPT, Claude, Copilot and DeepSeek: strengths for development work (long proposals, donor guidelines, Bangla field notes, survey tables)
  • 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 programme manager, M&E officer, grants writer or donor reporting specialist
  • Controlling output: length, tone, language, table or bullet format

Advanced Prompting Techniques

  • Few-shot prompting: teaching the model with examples of your own development work
  • Step-by-step reasoning for multi-part tasks such as building a logframe from a problem tree or checking a budget against donor eligibility rules
  • Constraint prompting: what to include, what to exclude, what to never assume
  • Chained prompts: breaking a concept note (problem → theory of change → logframe → activities → budget narrative) 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 development tasks
  • Testing a prompt before it goes into daily use

Data Privacy & Verification Discipline (Core)

  • What must never be pasted: beneficiary names, phone numbers, NID numbers and locations, case notes on violence or health, survivor photos, unreleased donor budgets, staff salary data
  • Anonymising data before prompting; safe vs unsafe development 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 development tasks.
PART 2Development 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

Donor Guideline & Policy Assistant

Programme, finance and field staff ask what the grant allows and get answers from donor guidelines and policies, with the section cited.

  1. INDonor guidelines & policies
  2. AIGrounded Gemini assistant
  3. OUTAnswer with the section cited
Built with Google AI Studio
02Session 6

Grant & Compliance Deadline Tracker

Donor reports, NGO Affairs Bureau renewals, grant end dates and audit deadlines checked daily, with alerts 30, 15 and 7 days ahead.

  1. INGrant & compliance tracker
  2. RUNDaily Make scenario
  3. OUTAlert to the right owner
Built with Make · Sheets · Gmail
03Session 7

Fund Requisition & Advance Approval

Requisitions routed to the project manager, then finance and the country office, with budget line balances and overdue advance reminders.

  1. INFund requisition form
  2. RULESMake approval routing
  3. OUTEntry in requisition register
Built with Make · Forms · Sheets
04Session 8

Field Voucher & Distribution Extraction

Vouchers, quotations and distribution sheets become clean rows, matched against the approved requisition and budget line, with duplicate checks.

  1. INVouchers & distribution sheets
  2. AIGemini structured extraction
  3. OUTChecked rows in your 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 Development

Fairness & Non-Discrimination

  • Where bias enters development 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 beneficiary, respondent and staff data

Beneficiary Dignity & Do No Harm

  • AI never decides who receives aid, cash or services
  • Informed consent for every story, photo and data 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 development 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 development tasks
  • Draft concept notes, logframes and proposals from your own evidence
  • Write donor reports and anonymised case stories faster
  • Clean survey exports and build an indicator dashboard
  • 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

A concept note and logframe draft
A quarterly donor report draft with two case stories
An indicator dashboard with narrative you can defend number by number
A grounded donor guideline & policy assistant your colleagues can use
A grant & compliance deadline tracker that reaches the right owner
Four deployed automations running in your own organisation
A written AI use policy for your own programme or organisation

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
Development tools
KoboToolboxNotebookLMLooker StudioPower BI basics

What participants need

  • A laptop with Excel and a Google account
  • Basic Excel comfort (VLOOKUP, Pivot Tables) and an anonymised survey export or indicator sheet
  • 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 organisation

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 organisation lead
  2. 2 · We tailor examples to your masked files
  3. 3 · Offline at your office, or online live classes
Chat on WhatsApp
Request a proposal