Introduction

Running a small business often means doing several jobs at once.

A business owner may be responsible for marketing, customer service, sales, bookkeeping, content creation, social media, administration, research, and daily operations—all while trying to provide quality products or services.

Artificial intelligence is increasingly becoming a practical tool for handling some of these responsibilities.

Modern AI tools for small businesses can assist with tasks such as writing and editing, customer communication, marketing, scheduling, data analysis, research, meeting summaries, image generation, workflow automation, and software development.

The important word is assist.

AI is not a replacement for sound business judgment, human expertise, customer relationships, or responsible decision-making. Instead, small businesses can use AI to automate repetitive work, generate first drafts, organize information, identify patterns, and help employees spend more time on tasks requiring human judgment.

Generative AI is particularly significant because it can produce text, images, audio, video, code, and other digital content. NIST's Generative AI Profile emphasizes that organizations should consider risks and trustworthiness throughout the AI lifecycle rather than treating AI as a technology that can simply be adopted without oversight.

For a small business, this creates an important opportunity: use AI where it solves a real business problem, measure the results, and keep humans involved where accuracy, privacy, creativity, or judgment matters.

This comprehensive guide explains how AI tools can support small businesses, the major categories of AI software, practical applications, benefits, challenges, real-world examples, security considerations, implications for broadcasters and media businesses, future developments, and how to choose the right tools.

What Are AI Tools for Small Businesses?

AI tools for small businesses are software applications that use artificial intelligence or machine-learning technologies to help businesses perform, automate, analyze, or improve specific tasks.

These tools can range from simple AI-powered features built into familiar business software to sophisticated platforms capable of generating content, analyzing information, communicating with customers, or automating workflows.

Common categories include:

AI writing assistants
AI content-generation tools
AI marketing platforms
AI customer-service tools
AI chatbots
AI meeting assistants
AI scheduling tools
AI data-analysis platforms
AI bookkeeping and financial tools
AI image-generation software
AI video tools
AI transcription tools
AI sales assistants
AI workflow-automation platforms
AI coding assistants

The best tool depends on the business problem being solved.

A small online store, for example, may benefit from AI product-description assistance and customer-service automation.

A consulting company may benefit more from meeting transcription, research, document analysis, and workflow automation.

A broadcaster may prioritize transcription, video processing, content repurposing, audience analytics, and production support.

How AI Tools Work

Although AI systems differ considerably, a simplified workflow often looks like this:

Business data → AI model or system → Processing → Output → Human review or automated action

For example, a business owner could provide an AI writing tool with information about a new product.

The system processes the instructions and produces a draft description.

The business owner then reviews the output, corrects errors, checks factual claims, adjusts the tone, and publishes the final version.

More advanced systems can connect AI to other business applications.

For example:

Customer message → AI analysis → Suggested response → Human approval → Customer

Or:

Sales data → AI analysis → Identified patterns → Business decision

The exact process depends on the software.

AI should therefore be viewed as a component of a broader business workflow rather than a magical system that automatically understands everything about a company.

Why AI Is Becoming Important for Small Businesses

Large organizations have traditionally had greater access to specialized staff, expensive software, data teams, and technology infrastructure.

Small businesses often operate with much smaller teams.

AI can help narrow some of these capability gaps by providing relatively accessible tools for tasks that previously required significant amounts of time or specialized expertise.

For example, a small business owner can use AI to:

Create a first draft of a blog post
Summarize a long document
Generate marketing ideas
Analyze customer feedback
Turn meeting recordings into notes
Draft emails
Create social-media content
Translate or rewrite communications
Organize information
Generate images
Assist with spreadsheets
Automate repetitive workflows

However, accessibility does not mean every AI tool will deliver useful results.

The business still needs a clear objective and a process for evaluating accuracy, quality, security, cost, and return on investment.

Major Categories of AI Tools for Small Businesses

1. AI Writing and Content-Creation Tools

Content creation is one of the most common applications of generative AI.

Small businesses can use AI writing tools to help develop:

Blog outlines
Product descriptions
Email drafts
Social-media captions
Advertising concepts
Website copy
Frequently asked questions
Video scripts
Newsletters
Content calendars

AI can significantly speed up the drafting process.

However, businesses should not simply publish AI-generated material without review.

Human editing remains important for:

Accuracy
Brand voice
Originality
Factual verification
Context
Legal considerations
Reader value

This is especially important for businesses publishing health, financial, legal, technical, or other information where inaccurate content can have serious consequences.

Best practice

Use AI to assist the content process, not to eliminate editorial responsibility.

2. AI Marketing Tools

Marketing is another area where AI can help small businesses.

AI-powered marketing platforms may assist with:

Audience research
Campaign ideas
Content planning
Email personalization
Ad variations
Social-media scheduling
Customer segmentation
Marketing analytics
Keyword research
Campaign reporting

For example, a small retailer could ask an AI system to generate several promotional concepts for a seasonal campaign.

A human marketer could then select the strongest idea and adapt it to the company's audience.

AI can therefore help increase the number of ideas available to a small marketing team without removing the need for strategy.

3. AI Customer-Service Tools

Customer service can consume a significant amount of time.

AI chatbots and virtual assistants can help answer frequently asked questions about:

Business hours
Product availability
Shipping
Returns
Pricing
Appointment procedures
Basic account questions

A well-designed chatbot can provide immediate assistance for routine questions.

More complicated issues should generally be transferred to a human representative.

Example

A customer asks:

"What time do you close on Saturday?"

An AI assistant may answer immediately using approved business information.

But if the customer says:

"I was charged twice for my order and want a refund."

The system may need to route the issue to a human employee or a secure customer-service workflow.

4. AI Meeting Assistants

Small businesses frequently spend time attending meetings and documenting what was discussed.

AI meeting assistants can help with:

Transcription
Meeting summaries
Action items
Key decisions
Topic identification
Follow-up tasks

This can reduce the amount of manual note-taking required.

However, businesses should consider privacy and consent requirements before recording or processing meetings.

Employees and customers should understand how recordings and transcripts are handled when applicable.

5. AI Scheduling Tools

Scheduling can become complicated when a business has:

Multiple employees
Customers in different time zones
Repeating appointments
Changing availability
Multiple calendars

AI-powered scheduling systems can help identify available times, automate reminders, and reduce administrative work.

For appointment-based businesses, this can make scheduling more efficient.

6. AI Data-Analysis Tools

Data is valuable, but small businesses do not always have dedicated data analysts.

AI can assist with analyzing:

Sales information
Customer feedback
Website traffic
Marketing performance
Inventory data
Financial information
Operational metrics

For example, a business could use an AI-enabled analytics system to identify which products generated the most sales during a particular period.

The AI output should still be checked before major business decisions are made.

AI can identify patterns, but management must determine whether those patterns are meaningful and what action should follow.

7. AI Image-Generation Tools

Businesses increasingly use AI image tools to generate or modify visual content.

Potential uses include:

Marketing concepts
Social-media graphics
Blog illustrations
Product-presentation ideas
Background images
Advertising concepts
Creative prototypes

Businesses should carefully review the licensing terms and usage rights of the particular AI service and any assets used with it.

They should also avoid generating misleading images that could cause customers to believe something exists when it does not.

8. AI Video and Audio Tools

AI is increasingly used to assist with video and audio production.

Small businesses can use these tools for:

Transcription
Captioning
Audio cleanup
Video editing assistance
Voice generation
Content repurposing
Short-form video creation
Script development
Translation

For example, a business could turn a long educational video into several shorter pieces of social-media content.

Human review remains important, particularly for captions, names, technical terminology, and factual information.

9. AI Sales Tools

AI can support sales teams by helping them organize and analyze customer information.

Potential applications include:

Lead qualification
Customer segmentation
Email drafting
Sales forecasting
Follow-up reminders
CRM assistance
Conversation summaries

AI can help salespeople spend less time on administrative work and more time interacting with potential customers.

However, businesses should avoid using AI to make sensitive decisions without understanding applicable laws, policies, and potential bias.

10. AI Bookkeeping and Financial Tools

Some accounting and financial platforms now include AI-powered features.

These may assist with:

Transaction categorization
Expense organization
Invoice processing
Financial summaries
Anomaly detection
Forecasting
Receipt processing

AI can make financial administration more efficient, but important financial decisions should be reviewed by qualified professionals when appropriate.

AI-generated financial information should not automatically be treated as accurate simply because it came from software.

11. AI Coding Assistants

Small businesses that maintain websites or software products can use AI coding assistants to help developers:

Generate code
Explain code
Identify potential errors
Create tests
Refactor code
Generate documentation

AI coding tools can accelerate development, but developers still need to review generated code for:

Security vulnerabilities
Incorrect logic
Compatibility
Licensing issues
Performance
Maintainability

12. AI Workflow Automation

Perhaps one of the most valuable uses of AI for small businesses is combining AI with workflow automation.

Instead of simply generating text, an automated workflow can connect several business systems.

For example:

New customer inquiry → AI categorizes inquiry → CRM updated → Response drafted → Employee notified

Another workflow might be:

New invoice → Data extracted → Accounting system updated → Confirmation generated

Automation can reduce repetitive administrative work.

However, automated systems should have safeguards, especially when they can send communications, modify records, approve transactions, or make decisions that affect customers.

Benefits of AI Tools for Small Businesses

1. Improved Productivity

AI can help employees complete certain repetitive tasks faster.

This may allow workers to spend more time on higher-value activities.

2. Time Savings

Tasks such as summarization, transcription, drafting, categorization, and basic research can take less time with AI assistance.

3. More Content-Creation Capacity

Small marketing teams can generate more drafts and ideas with AI assistance.

This does not guarantee better content, but it can increase the amount of material a team can develop and refine.

4. Better Customer Response Times

AI assistants can handle certain routine questions outside normal business hours.

This can help businesses provide faster responses to common requests.

5. Automation of Repetitive Work

AI can be combined with workflow tools to reduce manual administrative processes.

6. Access to Advanced Capabilities

AI platforms can provide small organizations with capabilities that might previously have required specialized software or expertise.

7. Improved Data Analysis

AI can help businesses identify patterns in datasets that might otherwise take longer to examine manually.

8. Support for Small Teams

A small team can use AI to assist with multiple business functions without necessarily hiring a separate specialist for every task.

This does not mean AI replaces employees; rather, it can provide additional capacity.

Challenges of Using AI in Small Businesses

AI has significant potential, but businesses should understand its limitations.

1. AI Can Make Mistakes

Generative AI systems can produce incorrect information.

These errors can sometimes sound convincing.

Businesses should therefore verify important facts before relying on AI-generated information.

2. Privacy and Data Protection

One of the most important questions is:

What information are you giving the AI system?

Businesses may handle:

Customer information
Employee information
Financial records
Business strategies
Contracts
Passwords
Intellectual property

Sensitive information should not be entered into an AI service without understanding how that service handles, stores, protects, and potentially uses submitted information.

3. Cybersecurity Risks

AI tools become another part of the technology environment that must be secured.

The FTC recommends that small businesses use basic cybersecurity practices such as keeping software updated, backing up important files, using multi-factor authentication, limiting access to sensitive information, and training employees.

AI adoption should therefore happen alongside broader cybersecurity practices.

4. Cost

Some AI tools offer free plans, while others require subscriptions or usage-based payments.

Using multiple AI services can create significant recurring costs.

Businesses should calculate the actual value generated rather than subscribing to every new AI product.

5. Integration Problems

An AI tool may work well by itself but become difficult to use when connected to existing business systems.

Before purchasing a tool, businesses should consider whether it integrates with their:

CRM
Website
Accounting system
Email platform
Calendar
E-commerce platform
Customer database

6. Employee Training

AI tools are only useful when employees understand how to use them.

Training should cover:

Appropriate use
Prompting
Verification
Privacy
Security
Data handling
Human review

7. Over-Automation

Automating everything is not necessarily a good business strategy.

Customers may become frustrated if they cannot reach a human when they have a complicated problem.

Human interaction remains particularly important for sensitive, emotional, complex, or high-value customer situations.

8. Intellectual Property Concerns

Businesses should understand the terms governing AI-generated content and the rights associated with data or materials supplied to AI systems.

Legal rules can vary by jurisdiction and use case.

For commercially important content, professional legal advice may be appropriate.

Responsible AI for Small Businesses

Responsible AI does not have to mean creating a massive corporate compliance department.

A small business can start with a simple set of principles.

1. Know what AI is being used for

Document important AI applications.

2. Protect sensitive information

Do not allow employees to upload confidential information to AI services without authorization and appropriate safeguards.

3. Verify important outputs

Human review should be required for high-impact content and decisions.

4. Monitor results

Check whether the AI system actually improves the business process.

5. Give employees clear rules

Create simple internal guidelines explaining what employees can and cannot do with AI.

6. Maintain accountability

Someone in the organization should remain responsible for the outcome.

NIST's AI Risk Management Framework recommends considering trustworthy AI characteristics and managing AI risks throughout the design, deployment, use, and evaluation of AI systems. Its Generative AI Profile provides additional guidance for risks associated with generative AI.

A Simple AI Policy for a Small Business

A small business can establish basic internal rules such as:

Do not enter passwords into public AI tools.
Do not upload confidential customer information without authorization.
Verify important AI-generated facts.
Review AI-generated customer communications before sending when appropriate.
Do not use AI to create deceptive information.
Respect copyright and intellectual-property requirements.
Keep human oversight for important decisions.
Report suspicious AI outputs or security incidents.
Use only approved AI services for business data.

A simple policy can reduce confusion and prevent employees from using AI in risky ways.

How to Choose the Right AI Tool

Do not start by asking:

"What is the most powerful AI tool?"

Instead ask:

"What business problem am I trying to solve?"

This change in thinking can save a small business considerable time and money.

Step 1: Identify a repetitive task

Look for activities that consume significant time but follow a predictable process.

Examples:

Email drafting
Appointment scheduling
Transcription
Data entry
Customer FAQs
Content outlines

Step 2: Measure the current process

Determine:

How much time does it take?
How often does it occur?
Who performs it?
What does it cost?
What errors occur?

Step 3: Find an appropriate AI solution

Compare tools based on:

Features
Price
Security
Privacy
Integration
Ease of use
Reliability
Support
Data controls

Discover how AI tools for small businesses can improve productivity, marketing, customer service, content creation,data analysis,& everyday operations

Step 4: Start with a small pilot

Do not immediately deploy AI across the entire company.

Test it on one workflow.

Step 5: Measure the results

Track:

Time saved
Errors
Customer satisfaction
Employee satisfaction
Cost
Revenue impact where measurable

Step 6: Expand carefully

If the pilot produces meaningful results, gradually expand its use.

AI Tools by Business Function

Business Function	Potential AI Applications
Marketing	Content ideas, campaign assistance, analytics
Customer service	Chatbots, FAQ responses, ticket summaries
Sales	Lead analysis, follow-ups, CRM assistance
Administration	Summaries, scheduling, document processing
Finance	Transaction categorization, invoice processing
Human resources	Drafting, scheduling, internal documentation
Content	Writing, editing, images, video, transcription
IT	Coding assistance, troubleshooting, documentation
Management	Research, reports, decision support
Broadcasting	Transcription, editing assistance, media workflows

The appropriate application depends on the business and its specific requirements.

Real-World Examples of AI Use by Small Businesses

Example 1: Local Restaurant

A restaurant could use AI to:

Draft social-media posts
Create menu descriptions
Respond to common online questions
Analyze customer reviews
Generate promotional ideas

The owner still approves important communications and verifies menu information.

Example 2: Small E-Commerce Store

An online retailer could use AI for:

Product-description drafts
Customer-service FAQs
Review analysis
Email campaigns
Inventory analysis
Product recommendations

AI could reduce repetitive administrative work while employees focus on customer relationships and business strategy.

Example 3: Consulting Business

A consultant could use AI to:

Summarize meetings
Organize research
Draft reports
Create presentation outlines
Analyze documents
Prepare follow-up emails

Sensitive client information should only be processed through tools and configurations appropriate for the data involved.

Example 4: Digital Marketing Agency

A small marketing agency could use AI to:

Brainstorm campaign ideas
Generate content outlines
Repurpose long-form content
Analyze campaign data
Produce draft social-media posts
Assist with reporting

Human marketers remain responsible for strategy, brand consistency, factual accuracy, and final approval.

Example 5: Small Media Company

A media organization could use AI for:

Audio transcription
Caption generation
Video summaries
Content tagging
Headline ideas
Translation assistance
Content repurposing

For published journalism or factual content, human editorial review remains essential.

What This Means for Broadcasters

AI is becoming increasingly relevant to broadcasting and media organizations.

Broadcasters produce large amounts of text, audio, video, graphics, metadata, and other content.

AI tools can assist with several parts of this workflow.

Automated Transcription

AI can convert speech into text, making it easier to search and repurpose recorded material.

Captioning

AI can help generate captions for video content.

Human review may still be required to correct names, technical terms, accents, timing, or other errors.

Content Repurposing

A long interview could potentially be transformed into:

Article ideas
Short clips
Social posts
Video summaries
Podcast descriptions

Media Metadata

AI can assist with identifying people, topics, scenes, and other metadata within media libraries.

Audience Analysis

AI can help analyze audience data and identify patterns in viewing or listening behavior.

Newsroom Assistance

AI can assist journalists and producers with research organization, transcription, summarization, and drafting.

However, broadcasters must be particularly careful about accuracy, misinformation, manipulated media, privacy, copyright, and editorial accountability.

AI-generated material should not automatically be treated as verified journalism.

AI and Small Business Cybersecurity

The introduction of AI should not cause a business to neglect basic cybersecurity.

In fact, businesses may need stronger controls as they add more software and integrations.

The FTC recommends measures including software updates, backups, multi-factor authentication, access controls, employee training, encryption, and incident-response planning for small businesses.

A small business adopting AI should therefore ask:

Who can access the AI tool?
What data can employees upload?
Is MFA enabled?
Are user permissions controlled?
What happens to submitted data?
Is sensitive information encrypted?
Can access be revoked when an employee leaves?
Are third-party integrations secure?
How are AI-related incidents reported?

AI security should be treated as part of overall cybersecurity rather than as a separate issue.

AI Tools and SEO for Small Businesses

AI can assist with SEO, but using AI does not automatically produce high search rankings.

Businesses can use AI to help with:

Keyword brainstorming
Search-intent research
Content outlines
Title ideas
Meta descriptions
Content editing
FAQ development
Content refreshing
Topic clustering

However, high-quality SEO requires more than generating text.

A strong article should provide:

Original value
Accurate information
Clear organization
Good user experience
Relevant expertise
Appropriate internal links
Useful external references
Natural keyword usage

AI-generated content should therefore be reviewed and improved rather than published automatically at scale.

AI Content Creation: What Small Businesses Should Avoid

Businesses should avoid using AI to produce large quantities of low-value content simply because the technology makes it easy.

Problems can arise when websites publish:

Repetitive articles
Factually incorrect information
Unoriginal material
Thin content
Misleading claims
Keyword-stuffed pages
Automatically generated pages with little value to readers

A better approach is to use AI as part of an editorial process.

A practical workflow

Research → AI-assisted draft → Human review → Fact-checking → Editing → SEO optimization → Publication

This creates a much stronger quality-control process.

Future Outlook for AI Tools for Small Businesses

AI capabilities are developing rapidly.

Several trends are likely to influence small-business technology.

1. AI Agents

AI systems are increasingly being developed to perform multi-step tasks rather than simply answer questions.

A future business workflow might involve an AI system that:

Receives a request.
Retrieves relevant information.
Creates a draft.
Updates a business system.
Requests human approval.
Completes the task.

The practical value of such systems will depend heavily on reliability, permissions, security, and oversight.

2. AI-Powered Business Software

AI features are increasingly being incorporated directly into business applications.

Instead of purchasing a separate AI product, businesses may find AI built into:

Accounting software
CRM platforms
Email systems
Website builders
Marketing platforms
Productivity applications
E-commerce platforms

This could make AI easier for small businesses to adopt.

3. More Personalized AI

AI tools may increasingly be customized to an organization's:

Brand voice
Products
Policies
Internal documentation
Customer-support information

This could make business AI more useful than generic assistants.

However, businesses must carefully control what private information is made available to AI systems.

4. AI and Automation Will Converge

The distinction between AI tools and automation platforms is likely to become less obvious.

Instead of merely generating an answer, AI may increasingly trigger actions across multiple business applications.

This could make workflow design and access control even more important.

5. Greater Focus on AI Governance

As businesses become more dependent on AI, responsible use will become increasingly important.

NIST's AI RMF emphasizes four broad functions—Govern, Map, Measure, and Manage—for approaching AI risk.

Small businesses do not necessarily need complex enterprise governance systems, but the underlying principles can be useful:

Establish rules.
Understand risks.
Measure performance.
Monitor results.
Correct problems.

A Practical AI Adoption Plan for Small Businesses

Phase 1: Identify

List repetitive business tasks that consume time.

Phase 2: Prioritize

Choose one task where AI could realistically provide measurable value.

Phase 3: Test

Run a small pilot.

Phase 4: Review

Check accuracy, time savings, cost, security, and employee feedback.

Phase 5: Improve

Modify the workflow based on what you learned.

Phase 6: Scale

Expand successful AI applications gradually.

Phase 7: Monitor

Continue reviewing performance and risks.

This approach is usually more practical than attempting to introduce AI into every department simultaneously.

Frequently Asked Questions

What are AI tools for small businesses?

They are software applications that use artificial intelligence to assist with tasks such as marketing, content creation, customer service, data analysis, administration, sales, scheduling, and automation.

What is the best AI tool for a small business?

There is no single best AI tool for every business. The right choice depends on the specific problem, budget, data requirements, existing software, security needs, and desired results.

Can AI help a small business save time?

Yes. AI can assist with repetitive tasks such as drafting, summarization, transcription, data organization, customer FAQs, and workflow automation. Actual time savings depend on the task and how the tool is implemented.

Can AI replace small-business employees?

AI can automate or assist with some tasks, but businesses should not assume that every job can or should be replaced. Human judgment, creativity, communication, accountability, and expertise remain important.

Is AI safe for business data?

Safety depends on the specific AI service, configuration, data involved, security controls, and organizational practices. Businesses should understand how a tool handles submitted information before using it with sensitive data.

Can small businesses use AI for marketing?

Yes. AI can assist with content ideas, email drafts, campaign concepts, customer segmentation, analytics, and other marketing tasks.

Can AI create blog articles for a small business?

AI can assist with research, outlining, drafting, editing, and content development. Businesses should fact-check and edit AI-generated material before publication.

Can AI improve customer service?

AI chatbots can handle certain routine questions and provide information quickly. Complex or sensitive issues should generally have a path to human assistance.

Is AI expensive for small businesses?

Costs vary. Some tools offer free or low-cost plans, while advanced systems may have subscription or usage-based fees. Businesses should evaluate total cost against measurable value.

How can a small business start using AI?

Start with one repetitive, low-risk task. Test an appropriate tool, measure the results, and expand only if the tool provides meaningful value.

What are the biggest risks of AI for small businesses?

Important risks include inaccurate outputs, privacy problems, cybersecurity vulnerabilities, inappropriate automation, intellectual-property concerns, unexpected costs, and overreliance on AI.

Should employees be trained before using AI?

Yes. Employees should understand the organization's AI policy, acceptable uses, data restrictions, verification requirements, and security expectations.

Can AI help with SEO?

AI can assist with keyword research, content planning, outlines, editing, metadata, and content optimization. However, useful SEO depends on quality, relevance, originality, accuracy, and user value—not simply the use of AI.

AI Tools for Small Business: Quick Evaluation Checklist

Before adopting an AI tool, ask:

Conclusion

AI tools for small businesses are becoming practical resources for improving productivity, marketing, customer service, administration, data analysis, content creation, and automation.

The greatest opportunity is not necessarily to use the most advanced AI system available.

Instead, small businesses should identify repetitive or time-consuming tasks where AI can provide measurable assistance.

A company might begin with simple applications such as meeting summaries, content drafting, customer FAQs, transcription, scheduling, or data analysis. If the results are positive, the business can gradually introduce AI into more sophisticated workflows.

At the same time, responsible implementation is essential.

AI can generate inaccurate information, expose sensitive data, introduce security risks, and create operational problems when used without appropriate controls. NIST's AI Risk Management Framework provides a useful foundation for thinking about trustworthy AI, including governance, risk identification, measurement, and management.

Small businesses should therefore treat AI as a business tool rather than a replacement for business judgment.

The strongest approach is simple:

Identify the problem → choose the right AI tool → test it → verify the results → measure the value → protect the data → improve the workflow.

When used thoughtfully, AI can give small teams additional capabilities without requiring them to become technology companies themselves.

The future of small-business technology is unlikely to be about humans versus AI.

It is more likely to be about people using AI effectively, responsibly, and strategically to accomplish more with the resources they already have.

Sources and References

National Institute of Standards and Technology (NIST) — Artificial Intelligence Risk Management Framework: Provides a voluntary framework for organizations to manage AI risks and promote trustworthy AI.
NIST — Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile: Addresses risks associated with generative AI and provides suggested approaches for managing those risks throughout the AI lifecycle.
NIST AI RMF Playbook: Provides practical actions related to the AI RMF's Govern, Map, Measure, and Manage functions.
NIST AI Resource Center: Provides technical resources and information supporting the testing, evaluation, verification, and validation of AI systems.
Federal Trade Commission — Cybersecurity for Small Business: Provides small-business guidance covering software updates, backups, authentication, access controls, employee training, encryption, and other cybersecurity practices.

AI Tools for Small Businesses: How Artificial Intelligence Can Improve Productivity, Marketing, Customer Service, and Growth