Cousin's AI Circulation

Tag: AI adoption

  • The AI Gap Is Becoming a Workflow and Governance Gap

    Astute Intelligence Insights

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    Big Picture Edition Vol. 2, No. 24 2026-09-18
    The AI Gap Is Becoming a Workflow and Governance Gap
    By Warren Wiggins — Astute Intelligence

    The Trend

    The next AI divide may be less about who has access to a chatbot and more about who has a repeatable way to use one. The nonprofit benchmark from Virtuous and Fundraising.AI reports high adoption but much lower organizational change. It points to governance, documented workflows, cross-team ownership, and measurement as the foundations behind stronger results. Read the benchmark findings

    The Federal Reserve Bank of San Francisco adds a small-business view: nearly 40% of 2024 survey respondents said they were using or planning to use AI, while others held back because of accuracy, intellectual property, training, or fit concerns. Read the Federal Reserve analysis

    What It Means for Mission-Driven Organizations

    Access alone does not close an equity gap. A well-resourced organization can pay for training, test several tools, and assign someone to review risk. A small nonprofit, school, or local business may ask one person to do all three jobs. If the sector treats AI readiness as a private advantage, the gap can widen.

    There is also a risk on the other side. A rushed pilot can move faster than the team’s ability to check accuracy, protect personal data, or explain a decision. A pause can be wise when the stakes are high. A pause without a learning plan can become exclusion. The practical middle is a small, documented experiment with a clear stop rule.

    Strategic Question of the Week

    What is the smallest workflow we can test in a way that a staff member, board member, or community partner could understand? Write down the manual alternative, the AI-assisted version, the reviewer, and the evidence that would make you continue or stop. A basic policy guide for nonprofits recommends defining acceptable use, prohibited use, data protection, human oversight, vendor review, and staff training. See the sample policy guide

    Weekend Read

    Start with the 2026 Nonprofit AI Adoption Report. Read the methods and limitations, then ask whether your organization is measuring more than speed. If you are only counting faster drafts, you may be tracking activity rather than mission progress.

    Curated by Warren Wiggins | Produced with Perplexity Computer

    Curious how this applies to your organization specifically? Book a conversation with Warren. Book a conversation
    Curated by Warren Wiggins | Produced with Perplexity Computer

  • Nonprofits Are Using AI, but Most Have Not Built a System Yet

    Astute Intelligence Insights

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    Week Ahead Edition Vol. 2, No. 22 2026-09-14
    Nonprofits Are Using AI, but Most Have Not Built a System Yet
    By Warren Wiggins — Astute Intelligence

    The Big Story

    A new benchmark from Virtuous and Fundraising.AI points to a gap many nonprofit leaders will recognize: AI use is common, but shared practice is not. The study surveyed 346 nonprofit organizations. It reports that 92% use AI in some way, while only 7% report major improvements in what their organization can accomplish. The report also says 81% use AI in an ad hoc way and 47% have no AI governance policy. Read the 2026 report

    That does not mean the other 93% failed. It means drafting and brainstorming are easier than changing how a whole team works. A tool can help one person move faster while the organization keeps the same handoffs, approvals, and weak data habits.

    Warren’s Take

    We should resist two easy answers. “Use AI more” ignores trust and workflow design. “Wait until the technology settles” can leave smaller teams further behind. A better starting point is one low-risk workflow, one named owner, and one measure of quality. Well-resourced organizations can build this quickly. Small nonprofits may need a shared template, peer support, or a short pilot. The equity question is who gets the time to learn.

    Story #2: Small businesses are interested, but readiness is uneven

    The Federal Reserve Bank of San Francisco reports that nearly 40% of respondents in its 2024 Small Business Credit Survey said they were using or planning to use AI. The same research describes barriers that include policy limits, staff training time, system changes, accuracy concerns, and intellectual-property questions. Read the Federal Reserve analysis

    Warren’s Take

    Interest is not readiness. A two-person shop may not have a dedicated technology lead. Start with a use case where a person can check every output. Write down what information may enter the tool and what must stay out.

    Story #3: Capacity-building is becoming part of AI readiness

    Apparo and Regions Bank described a ten-week cohort that helped nine nonprofits serving small businesses work on technology plans, cybersecurity, and AI readiness. The example matters because it treats adoption as a people-and-process challenge, not only a software choice. Read the cohort announcement

    Warren’s Take

    Training works best when it is tied to a real task. A workshop without a next step can fade. Ask each participant to leave with one approved workflow, one risk to watch, and one question for leadership.

    Practical Tip of the Week

    Make a one-page AI workflow card. Name the task, the approved tool, the data boundary, the human reviewer, and the quality check. Add two alternatives: a manual process for sensitive work and a second tool for a different privacy or collaboration need. Review the card after 30 days. If no one can explain what changed, the workflow is not ready to expand.

    By The Numbers

    The Virtuous study reports 92% AI use, 7% major mission-level improvement, 81% ad hoc use, and 47% without an AI policy. These are survey findings, not a promise about every organization. Source and methodology

    Curated by Warren Wiggins | Produced with Perplexity Computer

    If your team wants hands-on help thinking this through, you can book time with Warren. Book a conversation
    Curated by Warren Wiggins | Produced with Perplexity Computer

  • Civil-Society AI Is Moving Toward Shared Infrastructure

    Astute Intelligence Insights

    Do More of What Matters.
    The Week Ahead Edition Vol. 2, No. 13 2026-08-24
    Civil-Society AI Is Moving Toward Shared Infrastructure
    By Warren Wiggins — Astute Intelligence

    The Big Story: Civil-Society AI Is Moving Toward Shared Infrastructure

    The OpenAI Foundation launched AI for Civil Society and Philanthropy, a program built around three ideas: use AI in essential services, help civil-society organizations adopt it responsibly, and build shared infrastructure so useful tools and lessons can travel across the social sector. Its first partnership is focused on helping care teams reconnect people to hepatitis C treatment in four states. OpenAI Foundation announcement

    This is a different kind of AI story. It is less about a new chat feature and more about whether organizations can use shared tools, evidence, and support without each team starting from zero. The stated aim is to support care teams, not replace them. OpenAI Foundation program details

    Warren’s Take

    I like the focus on infrastructure and support. But a large initiative does not answer every local question. The people closest to the work still need a say in what gets built, what data is used, and what counts as success. A small nonprofit should not have to copy a large health project. It should be able to borrow the lessons and adapt them to its own mission.

    Story #2: Philanthropic Data Is Entering AI Workflows

    Impala announced an MCP server that makes philanthropic intelligence available inside Claude and ChatGPT. The company says nonprofits, foundations, and grantmakers can use data about organizations, funders, grants, governance, and funding ecosystems to build tailored applications and workflows. The announcement says the connector is available now in Claude and ChatGPT, with more AI environments planned. Impala announcement

    Warren’s Take

    This could help a small team get a faster view of a crowded funding landscape. The limitation is the data path. A connected assistant can surface sensitive information or repeat a source that needs review. Treat the connector as a research aid, not as an automatic due-diligence decision. Check the source, the permissions, and the date before acting.

    Story #3: Small Businesses Are Moving From AI Trials to Operating Habits

    A new Clutch survey of 600 U.S. small businesses that already use AI found that 59% qualified as AI adoption leaders. The same report says 38% lacked formal AI-use guidelines, and 62% planned to use AI agents. The gap matters: a business can be active with AI while still missing a shared rule for safe use. Clutch small-business AI maturity report

    Warren’s Take

    The headline is not “add more agents.” It is “build the habit.” A two-person shop and a 200-person company will not have the same time or support for policy, testing, and review. Start with one task, one owner, and one clear stop rule. That is how smaller teams keep pace without pretending they have a large IT department.

    Practical Tip of the Week: Write the Permission Sentence

    Before testing an AI workflow, finish this sentence: “This tool may read ___, may draft ___, and may never send or change ___ without a person’s approval.” Put the sentence where the team can see it. Then test the workflow on a few low-risk examples. If the sentence is hard to write, the workflow is not ready for a tool yet.

    By The Numbers

    • 3 priorities are named in the OpenAI Foundation’s civil-society program: essential services, responsible adoption support, and shared infrastructure. OpenAI Foundation announcement
    • 59% of AI-using small businesses in Clutch’s survey qualified as adoption leaders. Clutch report
    • 38% of those surveyed lacked formal AI-use guidelines. Clutch report
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    Curated by Warren Wiggins | Produced with Perplexity Computer

  • Copilot Gets Bundled: Microsoft’s New Small-Business AI Math

    Weekly Dispatch · Wednesday Edition · July 15, 2026

    Copilot Gets Bundled: Microsoft’s New Small-Business AI Math

    Microsoft folded Copilot into its small-business plans at nearly half the old combined price — a walkthrough of who should care, what to check first, and how to pilot it without wasting a dollar.

    § Tool Time

    The Tool: Microsoft 365 Business with Copilot

    As of July 1, Microsoft made its Copilot AI a permanent part of two small-business plans: Business Standard with Copilot at $23.50 per user/month and Business Premium with Copilot at $32 (annual billing, up to 300 seats). Until now, adding Copilot meant a $30-per-user add-on on top of your base plan — roughly $42.50 all-in for a Business Standard user. The new bundle cuts that nearly in half.

    What you get: Copilot works inside tools your team already uses — drafting and summarizing in Word and Outlook, analyzing spreadsheets in Excel, meeting recaps in Teams, presentations in PowerPoint. No new app to learn. One caveat: the plain no-Copilot Business Standard rose from $12.50 to $14, so Microsoft giveth on the bundle and taketh a little on the base.

    Sources: Microsoft 365 Blog | Microsoft Licensing | Plans & Pricing

    § Who It’s For

    Nonprofits, Small Businesses, Schools

    Nonprofits: If your organization runs on Outlook, Word, and Teams, this is the most frictionless AI entry point that exists — but don’t pay commercial rates before checking Microsoft’s nonprofit offers. Registered nonprofits get granted or deeply discounted M365 licenses, and pricing the Copilot bundles through the nonprofit portal first could save you meaningfully per seat.

    Small businesses: You’re the target customer, and the math got real. At $23.50/user, a five-person team gets bundled AI for about $118/month — versus roughly $212 under the old add-on pricing. If your team already lives in Microsoft tools, this deserves a serious look at your next renewal.

    Schools: Education tenants run on Microsoft’s separate A-series academic licensing, so these SKUs aren’t for you — but the direction is the same across Microsoft’s lineup, and if your admin office runs on a business tenant (some private schools and education nonprofits do), the same math applies.

    § How To Get Started

    Eight Steps, One Honest Pilot

    1. Check what you’re paying now. Pull up your current Microsoft 365 invoice — note your plan and per-user cost.
    2. Nonprofits: check the nonprofit portal first. Confirm granted/discounted eligibility before comparing any commercial pricing.
    3. Time it to your renewal. Existing customers keep current pricing until renewal — that’s your penalty-free switching point.
    4. Don’t buy for everyone on day one. Upgrade 2–3 people who spend the most time in email, documents, or spreadsheets.
    1. Give the pilot group three concrete jobs. Draft/summarize long email threads, generate Teams meeting recaps, ask Excel questions in plain English.
    2. Set two ground rules. What data can’t go into prompts, and every AI draft gets human review before it leaves the building.
    3. Reconvene after 30 days. What got used weekly? What saved real time? What died after week one?
    4. Expand based on evidence. If the pilot group can’t name a weekly use, keep the cheaper base plan — that’s a fine outcome too.

    Cousin’s Take

    The price drop is real, and bundling matters — AI that lives inside tools people already use gets adopted at a rate standalone AI tools can only dream about. But here’s the honest part: $23.50 per user per month is only a good deal if people use the Copilot part. We covered the research two weeks ago — most organizations that hand out AI licenses see fewer than 60% of people actually use them. Buy seats for the people who’ll use it weekly, prove it with a 30-day pilot, and let the evidence — not the discount — decide whether the whole org upgrades. And nonprofits: nonprofit pricing first, always.

    Want a practical framework for evaluating AI tools for your organization? Download ‘The Mission-Driven Org AI Audit’ — a free guide to assessment, implementation, and measuring impact.

    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, July 2026

  • The Access-Usage Gap: Why Handing Out AI Licenses Isn’t Enough

    Weekly Dispatch · Friday Edition · July 10, 2026

    The Access-Usage Gap: Why Handing Out AI Licenses Isn’t Enough

    AI access jumped 50% in a year, but most workers who now have it still aren’t using it daily — Deloitte’s 2026 report on why access alone doesn’t move the needle.

    § The Trend

    Access Is Up. Usage Isn’t Keeping Pace.

    Deloitte’s newly released “State of AI in the Enterprise 2026” report contains a statistic worth sitting with: workforce access to sanctioned AI tools grew by roughly 50% in a single year, from under 40% of workers to around 60%. That sounds like a genuine adoption wave — until you read the next line.

    Among the workers who now have access, fewer than 60% actually use it in their daily workflow. Do the math and real, regular AI usage across the whole workforce is still well under half, even at organizations that have rolled tools out broadly.

    Deloitte also found that insufficient worker skills is viewed as the single biggest barrier to AI integration — and, tellingly, the most common organizational response isn’t redesigning workflows around AI. It’s more training. Which, on its own, is a good instinct. It’s just not sufficient by itself.

    Sources: Deloitte — State of AI in the Enterprise 2026

    § What It Means for Mission-Driven Orgs

    Removing Cost and Knowledge Barriers Isn’t the Whole Job

    This week’s earlier stories all point at the same gap from different angles. NYC schools are building formal accountability structures for AI tools. American Express and the Department of Labor are funding AI training access for small businesses and workforce programs. Claude for Nonprofits is bundling a free fluency course with its nonprofit discount. Every one of these efforts assumes that if you remove the cost and knowledge barriers, people will actually use the tools.

    Deloitte’s data says that assumption doesn’t hold on its own. Handing your team a Claude or ChatGPT license — even a free or deeply discounted one — is necessary but not sufficient. The organizations getting real value aren’t the ones with the most licenses distributed. They’re the ones that picked one or two specific workflows, trained people on exactly those workflows, and built the habit before expanding further. That’s a smaller, slower rollout than most orgs default to. It’s also the one that actually works.

    If your organization has spent the last year collecting AI tool subscriptions — a Claude account here, a ChatGPT license there, maybe a specialized nonprofit tool — this is a good week to ask which of them your team is actually opening on a Tuesday afternoon. The gap between “we have access” and “we use it” is where most AI investment quietly goes to waste.

    Cousin’s Take

    Access without adoption is the quiet failure mode of AI rollouts everywhere — nonprofits, schools, and enterprises alike. Before you buy or apply for one more AI tool this quarter, take an honest inventory of the ones you already have. If your team isn’t opening them weekly, the problem usually isn’t the tool. It’s that nobody picked one workflow and trained people on exactly that.

    § Strategic Question of the Week

    What Would It Take to Close Your Own Access-Usage Gap?

    Of the AI tools your organization already has access to or has paid for, how many does your team actually use in a typical week — and if the honest answer is “one or none,” what would it take to close that gap before you buy anything else?

    § Weekend Read

    “The State of AI in the Enterprise” — Deloitte, 2026 Edition

    Based on a survey of over 3,200 leaders, this is a clear-eyed look at where AI investment is actually translating into changed behavior versus where it’s stalling at the access stage. Worth reading specifically for the sections on workforce readiness and the gap between organizations “transforming” with AI versus those using it only at the surface level.

    → Read it here

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    Curated by Warren Wiggins · Created by Cousin Claude · Cousin’s AI Circulation, July 2026