Services
Equity-centered AI evaluation and strategy for funders and builders
Whether you're evaluating AI proposals, building AI solutions, or developing your organization's AI strategy, Impacts AI provides tailored support founded upon pressure-tested systematic frameworks to ensure you have everything you need to feel confident about AI deployment.
Who We Work With
Funders
Help your team make confident go/no-go decisions on AI investments. We provide evaluation services, training, and strategic guidance using the PRACTICAL framework—designed specifically for AI serving marginalized communities.
Builders
Ensure your AI project is ready for funding and deployment. I help you address gaps, develop product roadmaps and financial models, and prepare for funder due diligence using insights gathered directly from funders themselves.
What We Offer
AI Project Evaluation
Comprehensive assessment of AI proposals using the PRACTICAL framework
Evaluate AI projects across nine critical tests—from privacy protections to lived experience—with equity and evidence lenses applied to every dimension. You receive a detailed report with core scores, gate statuses, evidence grades, and a clear recommendation: Go, Adjust, or Stop.
Workshops & Training
Equip your team to evaluate AI proposals confidently
Interactive workshops that teach program officers and investment teams how to use PRACTICAL to assess AI projects—even without technical backgrounds. I provide practical tools, real case studies, and frameworks you can apply immediately.
What We Offer
AI Project Evaluation
Comprehensive assessment of AI proposals using the PRACTICAL framework
Evaluate AI projects across nine critical tests—from privacy protections to lived experience—with equity and evidence lenses applied to every dimension. You receive a detailed report with core scores, gate statuses, evidence grades, and a clear recommendation: Go, Adjust, or Stop.
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Comprehensive assessment of AI proposals using the PRACTICAL framework
Comprehensive assessment of AI proposals using the PRACTICAL framework
This is a title. Click here to edit and add your own text.
Avenir Light is a clean and stylish font favored by designers. It's easy on the eyes and a great go-to font for titles, paragraphs & more.
Comprehensive assessment of AI proposals using the PRACTICAL framework
Comprehensive assessment of AI proposals using the PRACTICAL framework
How We Work
Internal Enablement
Help your team understand AI, adopt it safely, and align it with mission. Whether you need a one‑off briefing, a custom workflow automation, or an impact evaluation strategy for AI‑enabled projects, we translate principles into day‑to‑day practice.
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What you can get:
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Executive or staff briefings on AI basics, risks, and opportunities
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Capability map of safe AI use cases across your organization
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Privacy and safety guardrails (policies, prompts, checklists)
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Custom automations tailored to your workflow
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Impact evaluation strategy for AI projects (theory of change, indicators, data plan)
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Dashboards/scorecards for ongoing tracking of human‑centered AI outcomes
Portfolio Support
For funders managing AI within a portfolio, we provide targeted support, from a single training to bespoke tools, to help projects deploy AI safely and in ways that scale mission impact. We bring a funder’s lens: comparable metrics, transparent decision criteria, and practical governance.
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What you can get:
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Portfolio scan of AI exposure, opportunities, and risk
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Project review rubric aligned to human‑centered principles (privacy, equity, safety, access)
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Measurement frameworks and indicator libraries for grantees/investees
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RFP language and vendor/grantee evaluation checklists
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Privacy‑preserving data collection guidance and community co‑design practices
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Learning agenda and cross‑project insights you can share with your board
Programs
We design and deliver programs that build shared literacy and momentum across teams, partners, and communities. Formats range from interactive workshops to multi‑stakeholder convenings.
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Topics we can cover:
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Impact measurement & AI: from theory of change to indicators and dashboards
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Designing a safe, human‑first AI solution: case-studies, harm modeling, and safeguards
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AI basics for social impact: what to use, when to avoid, and how to pilot responsibly
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Safety & privacy with AI: data minimization, consent, governance, and prompt hygiene
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Responsible deployment: evaluation plans, field testing, and feedback loops

