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How AI Is Helping Nonprofits Find Grant Money Faster | B2B Vault

How Ai Is Helping Nonprofits Find Grant Money Faster | B2B Vault &Raquo; Allen Pic 01 1 150X150 2

Written By: Allen Kopelman

Allen Kopelman is the CEO of Nationwide Payment Systems and host of B2B Vault | The Biz to Biz Podcast.

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How Ai Is Helping Nonprofits Find Grant Money Faster | B2B Vault &Raquo; B2B





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How AI Is Helping Nonprofits Find Grant Money Faster Than
Ever

Hosted by Allen Kopleman  ·  Guest: Luke
Keller, Founder of Match Grant
 ·  Sponsored by
Nationwide Payment Systems

With federal funding cuts hitting nonprofits hard and competition for private grants at
an all-time high, finding the right funding has never been more difficult — or more
urgent. In this episode of B2B Vault, Allen Kopleman sits down with Luke Keller, serial
entrepreneur and nonprofit founder, to talk about how his platform Match Grant is using
AI and IRS 990 data to transform the way nonprofits discover and win grant funding.

The Nonprofit Funding Crisis Nobody Is Talking About

Luke Keller didn’t set out to build a software company. He and his wife founded a
nonprofit about 13 years ago focused on refugee resettlement. When he stepped back
in as interim director four years ago, things were going well — programs were growing,
federal grants were coming in, and a professional grant writer was on staff.

Then, in what Luke describes apolitically as getting “DOGEd,” three out of four
funding sources disappeared overnight. It was a wake-up call — not just for his
organization, but for the entire nonprofit sector. Thousands of organizations that had
relied on federal funding for decades suddenly found themselves competing for the
same pool of private and foundation grants.

NPR — funded almost entirely by the federal government for 50 to 60 years — lost
all of its federal funding and is now competing for private grants alongside small
nonprofits like ours.
— Luke Keller, Founder of Match Grant

The competition spike is real. Large organizations with entire floors of development
staff and grant writers are now fishing in the same pond as scrappy sub-million-dollar
nonprofits. For context: Allen noted that Broward County, Florida alone has between
8,000 and 10,000 nonprofits — not counting religious organizations or schools. Multiply
that nationally and the scale of the challenge becomes clear.

Why Existing Grant Software Wasn’t Cutting It

When Luke went looking for software to help find better-fit grant opportunities, he
found the market lacking. The existing solutions had two major problems: they were
expensive (often $8,000–$10,000 per year) and they weren’t meaningfully leveraging AI.
Most platforms delivered static lists of foundations without the intelligence needed to
identify which ones were actually relevant — leaving small nonprofits with enormous
research workloads and no clear direction.

That gap led Luke to build Match Grant — a platform purpose-built to solve the
matching and management problem at a price point nonprofits can actually afford.

$2K

Per year — vs. $8–10K for competitors

$300K+
In new grants surfaced in first 4 months
14
Day free trial, no commitment

The Secret Weapon: IRS 990 Data

Every nonprofit and foundation in the United States (with the exception of faith-
based organizations) is required to file a Form 990 with the IRS annually. For
foundations, these filings are public record and contain a goldmine of information: who
they gave money to, the purpose of each grant, and how much was awarded.

Match Grant pulls in this 990 data going back decades — every time the IRS
releases new filings — and layers AI on top of it to extract insights that would take a
human researcher weeks to compile manually.

What Match Grant Does With 990 Data

��

Peer Search
See exactly which foundations are funding organizations similar to yours.
Filter by grant type — unrestricted, programmatic, administrative overhead — to find the
most relevant opportunities.
��

Foundation Intelligence
Get how-to-apply details, application windows, contact information, and
giving history for thousands of foundations — including ones that don’t have public
websites.
��

Non-Solicitation Foundation Discovery
Some of the best funding comes from foundations that don’t accept
applications. Match Grant identifies these via 990 data and surfaces the LinkedIn
profiles of board members so you can network your way in.
��️

Application & Reporting Management

Track every application, deadline, and report submission. Integrates with
Google Calendar and Outlook to send reminders so nothing falls through the
cracks.

The Hidden World of Non-Solicitation Foundations

One of the most valuable — and least known — insights in the episode is the
existence of non-solicitation foundations. These are private foundations that fund
organizations by invitation only. There’s no public application, no website, sometimes no
public presence at all. The only way in is through personal Relationships with board
members.

For most nonprofits, these foundations are essentially invisible. Match Grant makes
them visible by pulling board member information from 990 filings and matching it with
LinkedIn profiles — giving nonprofits a roadmap to start building the right relationships.
As AI continues to improve, Luke expects to layer in additional contact data like email
addresses and phone numbers.

AI-Powered Grant Writing Is Coming Next

Anyone who has worked in the nonprofit sector knows the grant writing grind. As
Luke put it: if you’ve written one grant, you’ve written 50 — because the core content is
largely the same, with minor variations per application. It’s repetitive, time-consuming,
and often falls on executive directors and program managers already wearing three
other hats.

Match Grant is launching an automated grant writing assistant that changes this
dynamic. The tool will pull from a nonprofit’s boilerplate content, their 990 data, and their
website to pre-fill grant applications — dramatically reducing the time required per
application and improving accuracy. Human review will still be part of the process, but
the heavy lifting gets automated.

If you’ve written one grant, you’ve probably written 50. It’s basically the same
application over and over. AI can pre-fill that — faster, more accurately, without the
repetition.
— Luke Keller, Founder of Match Grant

Who Match Grant Is Built For

Match Grant serves a broad range of users across the grant funding ecosystem:

  • Small to mid-size nonprofits — the platform’s core audience,
    particularly those under $1M in annual budget where staff wear multiple hats
  • Independent grant writers — contractors who can use the
    platform to find new opportunities for existing clients and prospect for new business
  • In-house grant staff — employees of larger nonprofits looking
    to expand their foundation pipeline
  • SLED organizations — state agencies, local governments,
    libraries, and public and private schools that also apply for grants to supplement their
    budgets
  • Nonprofit board members — even if you don’t run a nonprofit,
    if you sit on a board this tool can directly help the organization you serve

What Nonprofits Need to Have in Order Before Applying

Allen and Luke touched on something many newer nonprofits overlook: you have to
be grant-ready before you apply. Foundations expect documentation, and showing up
unprepared wastes everyone’s time.

Grant Readiness Checklist:

  • Current, accurate financial statements (P&Ls) — preferably audited by a third
    party for larger grants
  • A clear mission statement and description of programs being funded
  • A system for tracking expenses and generating proof-of-payment
    documentation
  • A process for submitting impact reports after grant funds are spent
  • Up-to-date 990 filings — these are often required as part of an application
  • Easy-to-use donation processing so recurring and purposeful donors can give
    efficiently

On the reporting side, Luke’s advice is consistent: submit reports even when they’re
not strictly required. If you plan to reapply to a foundation, they will notice whether you
followed up — and it matters. Match Grant’s calendar integrations make sure you never
miss a reporting deadline.

How Nationwide Payment Systems Supports Nonprofits

As Allen noted during the episode, Nationwide Payment Systems works directly with
nonprofits to help them process donations and payments. Whether it’s setting up
recurring donation systems, making it easy for large donors to give purposefully, or
ensuring the financial infrastructure is in place to receive and track grant
reimbursements — having the right payment processing partner is a key part of
nonprofit operations. You can learn more or book a demo at nps1.com.

Frequently Asked Questions

Match Grant is an AI-powered grant matching and
management platform built for nonprofits, grant writers, and SLED organizations (state,
local, and Education entities). It helps them find best-fit grant opportunities, manage the
application process, and surface insights from 990 tax data — all in one place. It’s
especially valuable for small to mid-size nonprofits where staff are stretched thin across
multiple roles.

Match Grant uses multiple large language models (LLMs)
agnostically — meaning it’s not locked into a single AI provider — and layers that AI on
top of IRS 990 data going back decades. This allows the platform to surface highly
relevant grant opportunities, identify peer funding patterns, and provide actionable
contact information for foundation board members. Unlike general-purpose AI tools like
ChatGPT, Match Grant won’t hallucinate grant opportunities because it’s working from
verified public data.

Form 990 is a public IRS tax filing required annually of all
nonprofits and foundations (except faith-based organizations). Foundation 990s reveal
exactly who they funded, for what purpose, and how much they gave. Match Grant
aggregates this data going back decades and uses AI to extract insights — giving
nonprofits an unprecedented view into who is funding organizations like theirs and how
to approach those funders.

Non-solicitation foundations are private foundations that fund
organizations by invitation only — there’s no public application process. Many don’t
even have websites. The only path to their funding is through networking with board
members. Match Grant identifies these foundations via 990 data and provides LinkedIn
profiles of board members, giving nonprofits a starting point for building the
relationships needed to access this otherwise hidden funding.

Match Grant is $2,000 per year with unlimited matches and
unlimited users. This is intentionally priced at roughly one-third the cost of competing
platforms (which typically run $8,000–$10,000 per year) because Luke Keller is a
nonprofit founder himself and wanted to make the tool accessible. A free 14-day trial is
available for all new users with no commitment required.

An automated grant writing assistant is currently in
development and launching soon. It will pull from your existing boilerplate content, 990
data, and website to pre-fill grant applications — eliminating much of the repetitive work
involved in applying to multiple foundations. The current platform focuses on grant
discovery and managing the full application lifecycle.

Absolutely. Independent grant writers are a core user group.
They can use Match Grant to surface new funding opportunities for existing nonprofit
clients and to identify opportunities their clients may not know exist — adding significant
value to their service offering. Some grant writers also use the platform to prospect for
new clients by identifying nonprofits they could help pursue specific grants.

Peer search is a Match Grant feature that shows you which
foundations are currently funding organizations similar to yours, based on 990 data. You
can then filter those results — for example, looking only for unrestricted grants or grants
that allow a percentage for administrative costs — to prioritize the most relevant and
winnable opportunities. It’s a way to let data lead your prospecting instead of
guesswork.

Submit an impact report — even if it’s not required. Every
foundation wants to know how their money was used and what difference it made.
Nonprofits that skip this step damage their chances of receiving future funding from that
foundation. Match Grant integrates with Google and Outlook calendars to send
reminders for report deadlines and reapplication windows, making it easy to stay on
track and maintain strong funder relationships.

Visit matchgrant.co to explore the platform, watch educational videos,
and book a free demo. You can also email Luke Keller directly at [email protected].
Every new user gets a free 14-day trial, and Luke reports that the vast majority of trial
users convert once they see the platform in action.

Ready to Find Funding Your Nonprofit Didn’t Know Existed?

Start your free 14-day trial with Match Grant — or reach out to Nationwide
Payment Systems to streamline your donation and payment processing.

Frequently Asked Questions

What are the most common types of chargebacks?
+
Most disputes fall into these categories: Fraud / No Authorization, Services Not Rendered, No-Show / Cancellation, Duplicate Charges, and Friendly Fraud (where a customer legitimately buys something but later disputes the charge).

Why are Restaurants and Bars losing “Chip & PIN” cases?
+
This is a major industry issue. Many restaurants are losing stolen card disputes even with approved transactions and signed receipts. Banks often side with the cardholder regardless of video evidence or ID checks presented by the merchant.

How can I effectively prevent chargebacks?
+
Prevention starts with Clear Policies (displaying refund terms on receipts) and Proper Documentation (logs and signed receipts). Use fraud tools like AVS/CVV and device fingerprinting, and ensure your staff is trained on strict ID verification procedures.

What evidence is required to win a dispute?
+
You must provide a clear “story” backed by facts. Required evidence includes the signed receipt, transaction timestamps, proof of delivery/service, and customer communication logs. Utilizing services like Chargeback Rescue can help navigate these complex requirements.

Who actually decides who wins a chargeback?
+
Contrary to popular belief, it is not the card brands (Visa/Mastercard) or your processor. The cardholder’s bank decides who wins. Because banks often side with their own customers to maintain loyalty, merchants frequently face an uphill battle.

What is the future of dispute resolution?
+
The industry is moving toward AI-driven fraud detection and real-time resolution. To survive, businesses must respond to disputes instantly and collect more detailed data on high-ticket customers to protect their revenue.

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How Ai Is Helping Nonprofits Find Grant Money Faster | B2B Vault &Raquo; Allen Pic 01 1 150X150 2

Written By: Allen Kopelman

Allen Kopelman is the CEO of Nationwide Payment Systems and host of B2B Vault | The Biz to Biz Podcast.

The post How AI Is Helping Nonprofits Find Grant Money Faster | B2B Vault appeared first on payment solutions to grow your business.

ALLEN KOPELMAN CEO, Nationwide Payment Systems | Host of the B2B Vault: The Biz to Biz Podcast

Allen Co-Founded Nationwide Payment Systems Inc. in 2001, with the plan to sell credit card processing services and equipment to merchants in the South Florida area and provide concierge style service for each client. Quickly the company grew to 1000 plus clients and we were had clients all over the United States.
The entrepreneurial bug started early in Allen’s life as comes from a family of business owners and learn about business from early age behind the cash registers at his father’s clothing stores in Miami. Later going to Culinary School in Atlanta and being a Chef, then Executive Chef for Metro Hotels in Dallas, Texas running food and beverage operations in Hotels. In 1992 a move back to Florida and opening a restaurant, catering company and consulting group.
After gaining a couple of years of experience selling merchant services, Allen Co-Founded Nationwide Payment Systems with David Burney. Together the company started and quickly grew, products were added, processing banks and the company became laser focused on technology that would help merchants. Along with that came a focus on hard to place businesses that many banks did not want to work with.

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