🗞️ AI for Non Profits Network: Weekly Briefing 11/18

The weekly digest from a network of non-profits interested in AI. What's in this week's Briefing: AI for forestry, how to measure the impact of AI, reading web intent, and plenty of resources.

In The Briefing this week:

1. 👀 What’s Caught our Eye: Strengthening the forestry supply chain and the shift from doing the work, to measuring the impact.

2. 💭 Thought for the Week: Reading Web Intent; how AI is helping non-profits spot interest before it’s expressed.

3. 🌟 Interesting News

4. 🌐 From Across the Network

1) 👀 What Caught Our Eye: AI Initiative to Strengthen Forestry Supply Chain and the shift from doing the work, to measuring the impact.

Last week, IBM and Polytechnique Montréal announced a collaboration to build an AI decision-support tool for Canada’s $33.4 billion forest sector - a system facing climate disruption, supply chain fragility, and sustainability pressure.

What makes this compelling isn’t the technology. It’s the structure.

IBM isn’t starting with automation. They’re committing two years of co-design, beginning with their IBM Garage methodology to map workflows before building anything. The project will integrate operational data, digital twins, and multi-objective optimization to improve harvest planning and emissions reduction—but only after validating where the real bottlenecks exist.

Measurement first. Automation second.

This approach mirrors a broader shift I’m seeing across the sector. The same week, Scribe announced a $75 million raise at a $1.3 billion valuation to launch Scribe Optimize - a platform designed not to do work, but to measure it. It maps how teams spend time, identifies repetitive tasks, and highlights where automation delivers real ROI.

For nonprofits, this matters more than most realize. According to Grant Thornton’s 2025 report, over four in five nonprofits have experimented with generative AI, yet fewer than one in ten have a clear framework to assess its impact.

Nonprofits are mission-driven, data-rich, but resource-poor. They juggle dozens of fragmented systems - CRMs, fundraising platforms, finance tools - none of which talk cleanly to one another. Without measurement-first infrastructure, AI risks becoming more overhead, little yield.

The lesson: Map your workflows like IBM and Polytechnique are doing. Measure the bottlenecks like Scribe is enabling. Then deploy AI where it returns mission value - not just noise.

2) 💭 Thought of the Week: Reading Web Intent - how AI is helping non-profits spot interest before it’s expressed.

This week’s focus is about a capability that’s quietly reshaping how organizations understand their audiences: “web intent” tracking. AI systems can now interpret who is visiting your website (at the organizational level), what they’re exploring, and when their interest shifts from casual browsing to genuine engagement.

We’ve been watching this technology mature rapidly. A recent case study by Clay demonstrates how far we’ve come. Instead of relying solely on cookies, these systems use AI to connect disparate signals - page visits, metadata, open data sources - to form a coherent picture of institutional engagement. What used to require manual detective work and guesswork now happens algorithmically, surfacing patterns that would be invisible to even the most attentive communications team.

Why This Matters for Mission-Driven Work

I’m seeing three significant implications for how nonprofits can use this technology:

Turning curiosity into early signal. For nonprofits, a visit to your “impact” or “partnerships” page may indicate a potential collaborator testing alignment. AI can now surface that quietly emerging intent before anyone fills out a contact form or sends an email. It’s the digital equivalent of noticing someone lingering thoughtfully at your booth at a conference - except it happens online, where those signals are usually invisible.

Moving from reactive to proactive engagement. Rather than waiting for contact forms to arrive, I’m watching communications and fundraising teams spot patterns of interest and tailor their outreach accordingly. The shift is subtle but significant: from responding to expressed interest to recognizing unexpressed curiosity.

Blending analytics with empathy. What I find most compelling is how understanding what draws repeat attention helps refine both messaging and mission storytelling. You’re not just tracking clicks - you’re learning what resonates, what questions linger, what aspects of your work spark return visits.

Practical Lessons for Your Organization

If you’re considering exploring web intent analysis, I’d suggest starting with these principles:

Map your “intent touchpoints.” I recommend identifying which pages and actions truly signal partnership interest, donation consideration, or volunteer curiosity - not just traffic volume. Your annual report download page tells a different story than your career page. Your program impact section signals different intent than your newsletter signup. Get clear on what behaviors actually matter.

Start small with transparency. Track behavior ethically and be explicit about how data is used. In my experience, aggregate insight (“50 local businesses viewed our volunteering guide this month”) can be more useful, and privacy-safe, than individual tracing. Build trust by being open about what you’re learning and why.

Use AI to inform humans, not replace them. The goal isn’t automated targeting or algorithmic outreach. It’s giving your team situational awareness to respond at the right time with the right tone. Think of it as equipping your staff with better peripheral vision, not removing them from the conversation.

Presence, Not Pressure

At its best, web intent analysis isn’t surveillance - it’s a way of recognizing interest, curiosity, and potential alignment earlier in the relationship. As more AI systems quietly power these insights behind the scenes, I think the challenge for nonprofits is to use them not for pressure, but for presence.

The technology gives us the ability to show up when it matters most - not to push harder, but to listen better. To notice when someone is exploring what partnership might look like, or whether their values align with yours, or what kind of impact their support might enable.

That’s not manipulation. It’s attention. And in a sector built on relationships, attention - the genuine, respectful kind - might be the most valuable thing AI can help us cultivate.

3) 🌟 Interesting News

Will AI mean better adverts or ‘creepy slop’? (BBC)

Google and the World Bank Group are collaborating to build AI-powered public digital infrastructure for emerging markets (Google)

More than 50 tech companies and non–profits create free activities for the Hour of AI (Ed Tech Innovation Hub)

The Future of AI (Nature)

4) 🌐 From Across the Network

• The Role of AI in Corporate Social Impact Virtual Summit (ACCP): A two-day virtual summit exploring how AI is reshaping corporate social impact, offering insights on practical applications and ethical considerations. March 11-12, 2026, 1:00 PM – 5:00 PM ET.

• Unlocking the Power of AI for International Charities - 2nd December - An online webinar covering practical AI applications, governance, and future trends for finance directors, CEOs, and trustees of overseas charities.

Have an event, case study, gathering or interesting insight you’d like to share with the network? Drop us a note here.

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