Use-case thinking
We sit with frontline teams to find where AI can take real weight off their work, and where it shouldn't be used at all. The use case comes first; the technology follows.
An initiative of Ankurit Foundation
Advancing AI adoption to unlock human potential.
Building technology isn't the hard part. Getting it used is. IHAP partners with field organisations to find the use cases that matter, then designs and builds AI transformations that fit the way communities and citizens already work, so the people they serve gain from it.
Photo: Wikimedia Commons
People first
Technology should follow people's lives, not the other way round.
Designed with people, not for them
Frontline teams and the communities they serve shape what gets built, from the first conversation.
Humans stay in charge
AI enables, AI empowers. People make the decisions that matter, and can always see why.
Built for real conditions
Local languages, voice over text, shared phones, patchy networks. Designed for how India actually works.
Success means people are better off
We measure time saved, opportunities opened and confidence gained, not features shipped.
What we do
From use case to everyday use.
Built for the world as it is
We design and build people-first technology that slots into the tools, languages, devices and routines field teams already rely on, so using it feels like less work, not more.
Adoption at scale
We stay through rollout: training, workflow changes and feedback loops. What works with one partner becomes an open playbook others can carry across programmes and regions.
Who we work with
Field organisations who know the ground.
We partner with non-profits that have deep sectoral expertise and a large field presence: organisations running programmes in communities every day, with frontline teams, facilitators and volunteers who know what works.
They bring
- Sector expertise
- Field presence and reach
- Trust with communities
- The real problems to solve
We bring
- Use-case discovery
- Product design and engineering
- Adoption and change support
- Playbooks to scale
Sectors: economic mobility, livelihoods, education
How we work
Partnership is the method, not just the name.
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01
Go to the field
Spend time with frontline teams where the work happens. Understand the problem before the technology.
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02
Pick the use case
Agree with our partner on the use case with the clearest benefit to people, and how we'll know it worked.
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03
Co-design and build
Build with the people who will use it, test in real conditions, and keep humans in charge of decisions that matter.
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04
Embed
Fit it into existing workflows, train teams, and stay until it's part of how the organisation works.
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05
Scale
Expand across the partner's network, and turn what we built into reusable assets the next partner can start from.
Reusable by design
Every transformation makes the next one easier and faster.
We don't build one-off solutions. Each engagement leaves behind shared building blocks that the next field organisation can pick up, adapt and run with, so no one has to start from zero.
Open components
Modular, open-source building blocks that plug into different programmes and stacks.
AI-ready data
Practical methods and tools that help field organisations get their programme data clean, structured, consented and ready to put to work with AI.
Adoption playbooks
Training kits, workflow guides and change-management toolkits for frontline teams.
Partner 1: build
Partner 2: reuse and adapt
Partner 3 onward: faster, cheaper, further
Our work
Our first partnership is underway.
About IHAP
Rooted in Ankurit Foundation.
IHAP is a non-profit initiative of Ankurit Foundation. We believe the most important question about AI is not what it can do, but what people and institutions can do with it.
[A short paragraph on the founding story, the team, and the communities IHAP works alongside.]