Unlock AI Tools for Social Investors
Discover how AI can enhance every stage of the social investment journey. This accelerated, hands-on training equips grantmakers, catalytic capital providers, and impact investors with practical tools to apply AI across the entire social investment lifecycle.
Through live workshops, peer exchange, and Asia-Pacific case studies, you’ll gain the knowledge and confidence to use AI responsibly—whether you’re just starting your AI journey or looking to embed it more deeply into your daily workflow.
By the end of the training, you’ll be able to:
- Evaluate applications and impact efforts more efficiently
- Streamline due diligence and reporting processes
- Capture and analyze beneficiary voices in innovative ways
- Make more informed, data-driven decisions across your portfolio
Whether you’re exploring AI for the first time or ready to experiment, this training will give you the skills and confidence to apply AI meaningfully to strengthen strategy and maximise social impact.
Programme fee
- USD 1,000 for AVPN members
- USD 1,500 for non-members
Limited Slots Available
Key themes and takeaways
- Understand core AI concepts and practical applications in a non-technical way
- Identify AI tools relevant to your funding priorities and operating model
- Apply AI to enhance grant/investment sourcing, due diligence, and monitoring
- Use regional and sectoral case studies to surface use cases and risks
- Learn ethical and responsible practices for AI adoption in social impact settings
- Get support and guided steps to apply what you’ve learned to your workflow
Online training schedule
2+ hours per session | Workshop + Q&A
Session 1: Demystifying AI for Social Investment
Date: November 25, 2025
Time: 5:30PM
- AI Terminologies, applications, and key opportunities in social investment
- Myths and misconceptions about AI for social investment
- Global vs Asia-Pacific trends in AI (for social impact)
Session 2: AI for Grantmaking and Monitoring
Date: November 27, 2025
Time: 5:30PM
- Practical AI tools for streamlining application reviews, due diligence, and reporting
- Explore how AI can support monitoring, evaluation, and synthesizing complex data.
- Real-world AI case studies from Asia-Pacific social investment initiatives
- Risks in using AI for social investment
Session 3: Assessing AI-Led Proposals and Programs
Date: December 1, 2025
Time: 5:30PM
- Learn how to evaluate AI-driven initiatives for credibility, readiness, ethical risks, and alignment with social impact goals.
- Identify key questions to ask and red flags to watch for as a funder.
Session 4: Putting AI into Practice
Date: December 3, 2025
Time: 5:30PM
- Principles of responsible AI adoption for funders and social investors
- Guided steps to apply learning to your own workflow. Map AI opportunities and create a simple action plan.
- Bonus: 4 more AI tools to super charge your day to day as a social investor
Who should join
This online training will benefit:
- Foundation and Trust Leaders
- Impact Investors and Fund Managers
- CSR and Corporate Foundation Teams
- Philanthropic Advisors and Donor Networks
- Capacity Builders, Intermediaries, and Policy Advocates
Meet the trainer
Anip Sharma
Senior AI for Good Expert
10x Impact Labs
Anip Sharma is a technology and AI educator, program designer, and social innovation strategist with over a decade of experience leading digital readiness and skilling initiatives across Asia-Pacific.
He has delivered AI and emerging technology programs for governments, corporates, and nonprofits, partnering with Intel, Microsoft, SAP, NITI Aayog, and UC Berkeley. His work spans national AI curricula, digital labs, simulated internships, and AI solutions for social enterprises and MSMEs. An active contributor to global education and innovation ecosystems, Anip serves as a Mentor of Change with the Atal Innovation Mission and is a member of the Ecoversities Alliance.
In this training, he will guide participants through actionable steps to embed AI meaningfully into social investment workflows, strengthening strategy, decision-making, and impact.
