Posts

Your AI agents are busy. Can you prove they are moving the numbers your board cares about?

Image
Adding an AI agent can feel like adding capacity without adding headcount. For a funded CEO, that is useful only if the work still connects to the numbers you promised investors. The hard question is not whether an agent completed a task. It is whether you can show the outcome, the accountable person, the evidence, and the decision still needed before the next board meeting. Why does more agent activity create a CEO problem? Google Cloud Consulting says the focus is moving from generative AI that answers questions to agentic systems that carry out multi-step work. That changes the management job. A lean team can now create more handoffs across people, agents, and partners, often faster than a founder can see what changed in the company plan. Activity is not the same as progress. A completed research task, campaign draft, or support workflow does not by itself show whether revenue, retention, product delivery, or runway moved. If the evidence sits in separate tools, the CEO ends up...
Post a Comment
Read more

When AI enters your org chart, can you still see who is moving the numbers you promised investors?

Image
AI can give a small company more capacity. It can also create more handoffs, more tools, and more activity to interpret. For a funded CEO, the operating question is simple: can you connect each person, agent, and outside partner to the number they are meant to move? That is the job of a CEO Command Center. It is not another dashboard of tasks. It is a way to see the company plan, the owners behind it, the evidence of progress, and the risks that need a decision. Why does an AI org chart create a visibility problem? An October 28 essay from OpenAI describes AI entering firms in three illustrative ways: beneath people, beside them, and between them. The authors’ point is not that every firm will follow one path. It is that AI changes who performs work, who coordinates it, and who has to make sense of it. That matters when you report to investors. An agent can draft, research, analyze, or coordinate. A partner can deliver activity. But neither fact tells you whether the company is mo...
Post a Comment
Read more

What does it actually cost to keep using AI after the grant money runs out?

Image
The grant usually covers the first year. After that, the real cost isn't a software invoice. It's the hours someone on your team spends keeping the tool alive, hours that used to go to clients. Nobody budgeted for that part, because the grant application never asked about it. This is the pattern I keep running into in nonprofit AI right now. A foundation funds the pilot, the tool launches, and the case study gets written. Then the funding ends on schedule, and the tool does not. What's actually happening with nonprofit AI funding right now? Most of the money funding nonprofit AI adoption today is one-time. The OpenAI Foundation's 2026 People-First AI Fund gave $50 million, unrestricted, to 163 nonprofits out of 1,669 applicants, roughly one in ten ( OpenAI, accessed 2026-10-19 ; confirmed by EdTech Innovation Hub, accessed 2026-10-19 ). It's the second round of this fund, and the grants are disbursed by the end of 2026. There's no renewal built in. That...
Post a Comment
Read more

Should an AI assistant be allowed to see your nonprofit's goals?

Image
Yes, probably. But only once someone decides what that assistant is allowed to do with what it sees, and right now almost nobody is making that decision on purpose. I went looking this month at how performance software is connecting itself to AI assistants. Across eight platforms reviewed in the same week, five had shipped a new kind of connector, each built on the same open technical standard, Model Context Protocol, or MCP (modelcontextprotocol.io, accessed 2026-10-08). The pitch in every case was nearly identical: let ChatGPT, Copilot, Claude, or Gemini read directly into your organization's goals and performance data, live, the way you'd give a new hire view access to a shared folder. None of the five mentioned mission, purpose, or why any of that data exists in the first place. Each one framed it as task data, project data, review data. That gap is the whole story. What changed, exactly, this month? Five separate vendors, each reviewed independently, shipped the same ...
Post a Comment
Read more

Why do nonprofit executives use AI more than their staff do?

Image
In most nonprofits, the person giving the update on "how AI is going" is also the person with the least in common with the staff who would actually use it day to day. A survey of 917 nonprofit professionals, published by NTEN and The Bridgespan Group in September 2026, found that 50% of executives use AI daily. Only 38% of staff do. Executives also report feeling more comfortable with the tools, 67% versus 55% for staff. If you lead a nonprofit, the AI picture in your head is probably your own picture, not your organization's. I hear this almost every time I talk with a nonprofit ED about AI. She can describe her own use of the tools in detail. She assumes her program staff use them about the same way, at about the same rate. In my experience, that's almost never true. What does the data actually show? It shows a usage gap and a comfort gap, and the usage gap is the bigger one. 98% of respondents in the survey use AI in some capacity, according to Nonprofit Quar...
Post a Comment
Read more

Why can't nonprofits scale the AI pilots that already work?

Image
Most nonprofits that get AI working don't stall on the pilot. They stall right after it, when the plan to scale needs a budget line and an owner, and neither shows up. A new survey of 119 AI-powered nonprofits found that 90% have a plan to scale their AI work. Only 24% say they have the resources to actually execute that plan, according to Fast Forward's 2026 AI for Humanity Report , accessed 2026-09-29. That's a gap of 66 percentage points between an intention written down and a plan an organization can actually run. I've seen this pattern before AI ever entered the conversation. A strategic plan gets built, everyone nods, and then Monday morning shows up and nothing in the plan tells anyone what to do differently. AI hasn't solved that gap. It's just showing up inside it now, wearing its own name. How many nonprofits already have a working AI pilot and a plan to expand it? A lot, and the number is growing. Fast Forward surveyed 119 nonprofits already using...
Post a Comment
Read more

Why isn't our nonprofit's AI actually producing results?

Image
Most nonprofit AI projects never start with a decision. They start with a tool. A new report on AI operations at nonprofits makes that specific. Among nonprofits that already have at least one AI initiative running in production, just 12% say their most recent AI initiative began with a clearly defined problem. The rest started elsewhere: 37% adopted a vendor's recommended use case, another 37% chose a platform first, and 13% never settled on a scope at all ( Coastal / Oxford Economics, "The AI Operations Report 2026: Nonprofit," accessed September 23, 2026). That's not a story about slow adoption. Every organization in the sample already has AI live somewhere. It's a story about what happens when "live" arrives before "why." A note on the source before we go further: the report's page shows only a 2026 copyright, no month or day for when it was published or fielded. That's worth saying plainly rather than dressing it up with a date...
Post a Comment
Read more