Built for Development Sector Professionals
Eyekyam Risk Resolutions

AI OS for the
Development

Sector.

A practical operating system for AI adoption across fundraising, operations, accounting, HR, and administration — designed for not-for-profit and development sector professionals who want to work smarter, not just faster.

Register Now — ₹999 See what's inside
aiworks.eyekyam.com — Development OS v1.0
💰
Fundraising
Concept notes, grant reports, donor comms
⚙️
Operations
Field reports, SOPs, programme reviews
📊
Accounting
Budget narratives, reconciliation notes
👥
HR
JDs, policies, onboarding templates
🏛️
Administration
Governance docs, board packs, MoMs
🛡️
AI Risk
Safe use, de-identification, accountability
Designed by Eyekyam Risk Resolutions Session 1 ready
The Real Problem

Development work is
knowledge work.

Every hour your team spends on repetitive drafting, formatting, and reporting is an hour not spent on mission. AI doesn't replace development professionals — it returns mission-hours to mission work.

60%
of NPO staff time on writing & reporting vs. actual programme work
3×
grant turnaround speed with AI-assisted first drafts
5
functions. One operating system. One cohort.
0
heavy capex required. Free and freemium tools throughout.
Have you ever missed a grant deadline because of writing bandwidth?
AI can produce a structured first draft of a concept note from 3 bullet points in under 2 minutes.
Has your team written the same thing three ways for three different donors?
One field visit note can become a donor report, a social post, and a board summary — in parallel.
Do your field officers spend more time on WhatsApp voice notes than structured reports?
Voice-to-structured-text workflows convert voice notes into filed reports in real time.
Is your institutional knowledge scattered across emails, folders, and memory?
AI can help build an organisational memory layer — so knowledge doesn't walk out the door.
Session Architecture

90 minutes.
Five functions.
One shift.

Designed for mixed-function teams. No prior AI knowledge required. Every segment is live, hands-on, and immediately applicable to your work. Not a lecture. A working session.

01
0:00 – 0:10 · 10 MIN
Audience Diagnosis
We ask three questions before we say anything about AI. How much of your week is admin? Have you ever lost time to a report that could have been a voice note? The answers shape what we show next.
02
0:10 – 0:30 · 20 MIN
Output Showcase
We show finished outputs first — a grant section, an HR policy, a board summary — before explaining how they were made. Development professionals respond to outcomes, not process slides.
03
0:30 – 1:10 · 40 MIN
Live Co-Created Demos
The audience suggests the topic, the context, the organisation. We prompt live. The output is built in the room. No pre-cooked demos. Three use cases — one each for fundraising, HR, and operations — co-created with participants.
04
1:10 – 1:25 · 15 MIN
AI Risk for Development Professionals
Not all AI tasks are equal. We walk through the risk taxonomy: what's safe to draft freely, what needs review, and what should never go into a public AI tool without de-identification. Community data, beneficiary information, donor confidentiality — all covered.
05
1:25 – 1:30 · 5 MIN
One Next Step
Not a list of 50 tools. One concrete ask: use AI for one task you currently do manually before the end of this week. Then tell us what happened.
Five Functions

Every role. One showcase.

Select a function to see the live use case, the AI output, and the starter prompts. Each demo is built around real development sector work — not hypotheticals.

💰
Fundraising
Programme / Leadership
⚙️
Operations
Programme / Field
📊
Accounting
Finance Team
👥
HR
HR / Operations
🏛️
Administration
Admin / Leadership
Responsible AI

The risk
taxonomy for
development
work.

Not all AI tasks are created equal. This framework — specific to development sector organisations — tells you exactly what to do freely, what to verify, and what to protect.

Low Risk Use freely
Drafting, summarising, internal comms, meeting agenda creation, template formatting, brainstorming, job postings (generic), social media captions
Medium Risk Verify before sending
Donor reports, grant applications, stakeholder communications, budget narratives, field data summaries, programme evaluations
High Risk De-identify first — or don't use public AI
Audit documentation, legal/compliance filings, beneficiary personal data, community-level sensitive information, financial records with PII, partner confidentiality
Before you prompt — ask yourself:
? Am I uploading data that belongs to a beneficiary, donor, or partner?
? Would I be comfortable if this prompt became public?
? Is the AI output making factual claims about my programme that need verification?
? Is the output overclaiming impact, reach, or results?
★ Does this output involve community names, locations, or demographic data?
★ Have I de-identified beneficiary information before this prompt?
★ Is this output going to a donor, board, or regulator — and has a human reviewed it?
? Who is accountable for the final version of this output?
★ Development Sector Specific
The starred items are risks unique to organisations working with communities, field data, and donor accountability. Standard AI training programmes do not cover these. This one does.
Learning Architecture

From curiosity to institutional capability.

Session 1 is the foundation. What follows is a structured 4-session sprint — function by function, assignment by assignment — turning awareness into skill.

1
Awareness
"I know what AI is and what it isn't."
Session 1 · 90 minutes · All functions
2
Confidence
"I can use the right tool for the right task."
Session 2 · 2 hours · Model fluency
3
Adoption
"I have a working toolkit without heavy spend."
Session 3 · 2 hours · Tool stack
4
Workflow
"I've designed repeatable AI-supported systems."
Session 4 · 2 hours · Agentic workflows
5
Institution
"We're building organisational memory."
Session 5 · 2 hours · Institutional AI
"The organisations that win with AI will not be the ones that use the most tools. They will be the ones that convert their experience, evidence, relationships, and institutional memory into a living intelligence system."
— Eyekyam Risk Resolutions · AI OS for Development Sector
Built by Eyekyam

Practitioner-led.
Mission-aligned.

Eyekyam Risk Resolutions designs AI adoption for organisations that work with communities, field data, donors, and public trust. This is not a generic AI workshop. It is built for the development sector — by people who understand its complexity, constraints, and accountability obligations.

Climate Risk Development Sector Responsible AI Field-grounded Not-for-Profit NGOs & NPOs Agri & Livelihood Orgs Low-cost adoption
Get Started

Ready to bring AI OS
to your organisation?

Session 1 is a 90-minute live, hands-on programme for mixed-function teams across any development sector organisation. Two ways in: join the open masterclass or apply for the structured AI Skills Cohort.

Register Now
Masterclass ₹999 AI Skills Cohort ₹18,000 Online, live & hands-on