New AI Guide for Nonprofits and Small Businesses

Penn’s Northeast has teamed up with The Luzerne Foundation and The Sordoni Family Foundation to create a free AI Guide for Nonprofits & Small Businesses. For organizations working with tight budgets, small teams and competing priorities, artificial intelligence can offer practical ways to save time and streamline everyday tasks. This guide is intended to make

Published Sep 17, 2026
6 min read
AI for small business

Penn’s Northeast has teamed up with The Luzerne Foundation and The Sordoni Family Foundation to create a free AI Guide for Nonprofits & Small Businesses.

For organizations working with tight budgets, small teams and competing priorities, artificial intelligence can offer practical ways to save time and streamline everyday tasks. This guide is intended to make those possibilities easier to understand, helping nonprofits and small businesses consider how AI can be incorporated into their work thoughtfully and responsibly.

The resource avoids complicated technical language and focuses instead on practical applications and examples. It can be useful for communications professionals, program staff, grant writers, organizational leaders, volunteers and others who want to explore ways AI may improve their workflows, regardless of their previous technology experience.

The recommendations are also informed by hands-on experience. The organizations behind the guide tested and worked with the AI tools discussed, using those experiences to help shape the resource. Funding and support from The Luzerne Foundation and The Sordoni Family Foundation helped make the project possible.

Making AI More Accessible to Smaller Organizations

Large corporations often have the resources to hire technology specialists, conduct extensive testing and develop customized AI systems. Small businesses and nonprofits generally operate with fewer employees and tighter budgets, which can make adopting new technology more difficult.

This new guide addresses that gap by focusing on accessible tools and practical uses. The organization presents AI as something smaller organizations can begin exploring without making a major technology investment.

For a small business, that could include using AI to help draft marketing materials, organize information, generate ideas or assist with routine administrative work. A nonprofit might use similar tools to support communications, grant-related research, event planning or content development.

The potential value is not necessarily in replacing employees. Instead, AI can help organizations spend less time on repetitive tasks and more time on activities that require personal interaction, judgment and specialized knowledge.

Practical Applications for Businesses

One of the guide’s central themes is identifying tasks that can benefit from AI assistance.

Small businesses frequently have employees handling several responsibilities at once. An owner might oversee marketing, customer communications, scheduling, bookkeeping and operations. AI tools can assist with portions of those workloads, potentially giving business owners more time to focus on customers and strategic decisions.

Content creation is one obvious example. AI can help develop first drafts of emails, social media posts, product descriptions and other communications. The final material still requires human review, particularly when accuracy and the company’s reputation are involved.

AI can also assist with brainstorming and summarizing information. Used appropriately, those functions can be useful for organizations that do not have extensive internal research or communications resources.

Potential Uses for Nonprofits

Nonprofit organizations face many of the same resource constraints as small businesses, but they also have specific needs tied to fundraising, volunteers, community outreach and grant work.

AI can potentially help nonprofit employees organize information, develop outreach materials, summarize lengthy documents and generate initial ideas for campaigns or programs. Those applications may be particularly useful for organizations with small staffs managing a broad range of responsibilities.

The guide’s emphasis on practical implementation is significant because nonprofits often need to demonstrate careful stewardship of limited resources. A tool that reduces the time required for administrative work could allow more staff time to be directed toward the organization’s mission.

However, nonprofit organizations also need to be careful with sensitive information. Donor records, client information and confidential organizational documents should not automatically be entered into publicly available AI systems.

Human Oversight Remains Important

AI-generated information can contain errors, outdated information or misleading statements. For that reason, the guide emphasizes the importance of reviewing AI-generated material before it is used.

This is particularly important for organizations producing public-facing information. A small factual error in a business advertisement may be inconvenient, while an inaccurate statement in a nonprofit’s public communication or client materials could have more serious consequences.

Human review also helps preserve an organization’s voice. AI can generate a draft quickly, but employees understand the organization’s customers, community and mission in ways a general-purpose technology cannot.

The most practical approach is therefore to treat AI as an assistant rather than an unquestioned source of information.

AI Guide Penn's Northeast

Data Privacy and Responsible Use

Privacy is another important consideration as organizations begin experimenting with AI.

Employees should understand what information a particular tool collects, how submitted information may be handled and what restrictions apply to business or client data. Organizations may also benefit from establishing internal guidelines before employees begin using AI independently.

For example, a company could identify information that employees are prohibited from entering into public AI platforms. It could also establish review requirements for AI-generated customer communications, marketing materials or other external content.

These basic policies can help organizations experiment with new technology without overlooking existing privacy and security obligations.

AI as a Regional Economic Development Issue

The release of the guide also reflects a larger issue for Northeastern Pennsylvania’s business community. AI adoption is increasingly becoming a consideration for organizations of all sizes, not simply technology companies.

For regional economic development organizations, helping smaller employers understand new technologies can be part of broader efforts to improve productivity and competitiveness.

That is particularly relevant in communities where small businesses and nonprofit organizations make up a substantial portion of the local economic and civic infrastructure. Giving those organizations access to practical information can help reduce some of the barriers associated with adopting unfamiliar technology.

Penn’s Northeast’s guide provides an entry point rather than a complete technology strategy. Organizations still need to evaluate specific tools, costs, cybersecurity considerations and employee training based on their individual circumstances.

A Starting Point for Local Organizations

Penn’s Northeast’s new resource gives small businesses and nonprofits a starting point for exploring artificial intelligence without requiring them to become technology specialists first.

The most useful applications may ultimately be relatively simple: reducing repetitive administrative work, accelerating the creation of first drafts, organizing information and helping small teams handle tasks that previously consumed significant amounts of staff time.

As organizations across Northeastern Pennsylvania consider AI, the technology’s value will likely depend less on adopting the newest tool and more on identifying specific problems it can solve. Careful implementation, employee oversight and attention to privacy can help ensure that experimentation produces practical benefits rather than unnecessary complexity.

about the author
Johnathan Stanhope

Johnathan has been a part of the NEPA Bulletin team since 2021. Stanhope is a graduate of Stanford University School of Business, where he received his MBA in Business Law. Through his column, he discusses topics such as ethical leadership, risk management, regulatory compliance, and strategies for navigating complex business and legal challenges.