Our approach
AI training works only when it feels relevant from minute one.
That is why everything we do starts with real work, not slides about technology. Participants write real proposals, fix real reports and build real workflows during training. They leave with outputs they can use - not certificates they can frame.
- 01
Sector-specific, not generic
We speak the language of schools, NGOs and development organisations. Our training is built around their real workflows, not abstract use cases borrowed from corporate playbooks.
- 02
Practical from day one
No theory without application. Every concept is tested immediately on participants' own data - proposals, reports, dashboards, lesson plans.
- 03
Human in the loop, always
AI is a tool, not a replacement. We teach people to supervise, validate and own every output. Judgement, relationships, trust and accountability stay with people.
- 04
Affordable and accessible
Built around free tools wherever possible. Premium solutions only when the ROI is clear and the organisation can sustain them.
- 05
AI where AI is needed
We are mindful of AI's environmental footprint. We advocate for its use where it truly helps - not as a blanket solution.
Our objectives
The mosaic we're building, piece by piece.
India is at an inflection point in AI adoption. Over the next three years, we aim to train over 5,000 leaders and build a suite of affordable AI products for the social sector.
- 01Enable leaders from education and development to lead AI integration in their organisations.
- 02Train development sector professionals to start using AI meaningfully in their work.
- 03Help organisations integrate AI into their impact work, and create AI policies for their schools and institutions.
- 04Create a network of like-minded organisations that build on each other's strengths - forming a true mosaic of change.
Field research · April 2026
A small survey by Mosaika to map AI prevalence in the development sector.
We asked 26 NGO practitioners across 10 states how they think about, use and resist AI today. The findings shape the architecture of our training program - and tell a sharper story than the headlines do.
- 26NGO practitioners surveyed
- 10Indian states represented
- 88%Already using AI at some level
- 23/26Want AI training next
Who responded
NGOs from 10 states plus 2 national/multi-state organisations. Delhi led with 7 responses (27%), followed by Rajasthan and Maharashtra (4 each, 15%).
Budget mix
46% of NGOs had annual budgets above ₹25 crore; 35% below ₹2 crore. The remainder spread across the middle slabs - a deliberately wide net.
Headline findings
Four signals worth designing around.
- 01
The belief–action gap
46% rate AI as highly important across every dimension - yet remain stuck at basic or zero usage. Conviction is outpacing capability.
- 02
Budget doesn't predict maturity
Small NGOs (<₹2cr) and large ones (>₹25cr) show nearly identical advanced-usage rates (44% vs 33%). Mindset matters more than money.
- 03
Donors move the needle
Only 31% of NGOs are nudged by donors - but 63% of those report advanced AI use, vs just 24% of the unencouraged.
- 04
Youth leads the frontier
The 25–30 cohort posts 60% advanced usage - the highest of any age bracket. The 40–50 group sits at 17%.
How AI is actually used
Generative AI dominates productivity - automation lags.
Respondents picked from 10 technology and practice options, averaging 4 each. AI is no longer futuristic; it's a daily tool - but mostly for content, not core workflows.
- 01Drafting documents69%
- 02Queries & research58%
- 03Marketing & comms teams46%
- 04Direct impact delivery23%
- 05Vendor-embedded features19%
“81% see direct impact delivery as a top priority for AI - but only 23% have actually built it in. The will is there. The infrastructure isn't.”
AI maturity across respondents
Adoption is near-universal. Integration is not.
- 14 of 26
Basic
54%AI as a personal assistant - drafting, summarising, brainstorming. Low setup, high penetration.
- 9 of 26
Advanced
35%Early adopters wiring AI into multi-step workflows and core service delivery.
- 3 of 26
Non-users
12%Held back by privacy concerns, literacy gaps, budgets or organisational resistance.
What it tells us
NGOs believe in AI's power - and 23 out of 26 asked us for training. The appetite is real. Our job is to meet it with programs designed for their reality.