How to start with AI in business
How to Start with AI in Business: A Step-by-Step Guide for Small Business Owners
How to start with AI in business comes down to six steps. Here is what each one looks like in practice, with no assumed technical knowledge.
By aNetworks, Inc. | June 22, 2026 | 7-minute read
Starting with AI in business is less about choosing tools and more about knowing your starting point.
Starting with AI in business does not mean overhauling your operations or hiring a developer. It means identifying the workflows in your business that are repetitive and time-consuming, and using the right tools to handle them automatically so your team can focus on work that actually requires them.
Think of it the same way you would a cybersecurity assessment. You do not try to fix everything at once. You identify your biggest risks, prioritize them by impact, and work through them in order. AI adoption works the same way. You identify your biggest time drains, prioritize by potential return, and build one thing at a time.
The businesses that get real results from AI are not the ones that moved fastest. They are the ones that started with the clearest picture of where they stood. Our free AI Readiness Assessment gives you that picture in about 10 minutes.
The Bottom Line
How to start with AI in business comes down to six steps: assess your starting point, identify your highest-value manual process, write a simple AI usage policy, check what you already have in your existing software, build one automation and measure it, then repeat. Most small businesses are closer to their first working automation than they realize.
|
68%
of U.S. small businesses now use AI regularly, up from 48% just 18 months ago
(QuickBooks, 2026) |
8 wks
realistic timeline from starting point to first working automation in production
(aNetworks client data) |
$0
additional software cost for most first automations if you are already on Microsoft 365 |
How to Start with AI in Business: The Six-Step Checklist
Below is the same structured approach we use when working with small businesses on their first AI implementation. Each step builds on the one before it.
Assess where your business stands today
Before choosing any tool, understand your current state across five areas. Risks can show up in any of them, and unclear answers here make everything harder later.
- Processes: Are your workflows documented and consistent, or does every person do things differently?
- Data: Is your business data centralized and reasonably clean, or scattered across spreadsheets and inboxes?
- People: Is your team open to adopting new tools, or will there be resistance?
- Technology: What tools are you already paying for that have AI capability you have not turned on?
- Security: Does your team have guidelines for what they can and cannot share with public AI tools?
If you want to skip this step and get a scored report across all five areas, take the free AI Readiness Assessment. It takes 10 minutes and gives you specific recommendations for your situation.
Identify your highest-value manual process
Look for a process that is repetitive, follows consistent steps, and costs your team significant time each week. Common examples in businesses under 50 employees:
- Sending follow-up emails after client inquiries
- Entering form submissions into a CRM or spreadsheet by hand
- Routing invoices or approvals through email chains
- Confirming appointments the day before
- Generating a weekly report by pulling numbers from multiple places
- Setting up new employees in multiple systems when someone is hired
Rank your list by time cost and error risk. The item at the top is your first AI project. In other words, the tool comes last, not first.
Write a simple AI usage policy before anyone touches a new tool
This step takes 30 minutes and prevents problems that can take months to clean up. Your policy should cover three things:
- Which AI tools are approved for use in your business
- What types of data cannot go into public AI tools (client data, financial records, personally identifiable information)
- Who to ask when someone is not sure
Most businesses skip this and regret it later. Employees use public AI tools whether there is a policy or not. Without one, sensitive client or financial data ends up in places it should not be. Here is an example template to start you off in the right direction. AI Usage Policy Template
Check what you already have before buying anything new
If your business runs on Microsoft 365, you already have access to tools that handle a significant portion of small business automation at no additional cost:
- Power Automate: Visual workflow builder included in most Microsoft 365 plans. Connects to over 1,000 apps. No coding required.
- Microsoft Copilot: AI built into Word, Excel, Outlook, and Teams. Summarizes emails, drafts documents, builds Excel formulas from plain English.
- Microsoft Forms: Build intake forms that feed directly into Power Automate workflows automatically.
- Copilot Studio: No-code chatbot and agent builder for client-facing automation, included in select Microsoft 365 plans.
Most businesses we work with are paying for these tools and using less than 30% of what they can do. Consequently, the first 60 days of AI value almost always comes from what is already in your stack.
Build one automation and measure the result
Before you build anything, write down the specific number you expect to move. Time saved per week. Response time reduced. Errors eliminated per month. Then build and measure against that baseline.
- Keep the first build narrow: one trigger, two or three actions
- Use a pre-built template in Power Automate to start faster
- Test with real data before going live
- Run it for four weeks, then measure against your baseline
Ultimately, a number is more persuasive than a feeling. That measurement is what makes the internal case for everything that comes next.
Build a second automation based on what you learned
The second automation is faster than the first. You already know the tools, you know how to map a process, and you have a model that worked. Return to your ranked list and move to the next item.
- Review your ranked process list from step 2
- Look for processes that connect to or extend the first automation
- Consider bringing in an MSP for builds that cross multiple systems or involve sensitive data
Subsequently, most businesses find that the second and third automations produce faster results because the foundation is already in place.
What This Looks Like in Practice
A professional services firm with 18 employees completes an AI readiness assessment and finds their processes are reasonably solid, their data is centralized, and they are already on Microsoft 365. Their biggest time drain is client intake: manually entering form data into their CRM and sending welcome emails by hand, taking roughly six hours per week across the team.
In week one they map the process and write their AI usage policy. In weeks two and three they build a Power Automate flow using a pre-built template. When a client submits the intake form, the system creates a CRM record automatically, sends a personalized welcome email, and notifies the account manager. Total build time is about four hours across two sessions. No developer required.
Four weeks in, they have recovered six hours per week and eliminated the most common source of data entry errors. That result funds the next project. Above all, the process gave the owner confidence that AI is not something that requires outside expertise to start.
Not sure where your business stands across the five dimensions? Our free AI Readiness Assessment scores your business on processes, data, people, technology, and security in about 10 minutes. You get a specific report with recommended starting points for your situation.
How to Start with AI in Business: Quick Reference Checklist
Use this checklist to track your progress through the six steps above.
| ☐ | Complete an AI readiness assessment across all five dimensions |
| ☐ | Identify and rank your top three manual, repetitive processes by time cost |
| ☐ | Write a one-page AI usage policy and share it with your team |
| ☐ | Audit your existing Microsoft 365 tools for untapped AI capability |
| ☐ | Map your first target process step by step as it actually runs today |
| ☐ | Set a measurable baseline before building anything |
| ☐ | Build your first automation using a pre-built Power Automate template |
| ☐ | Test with real data and go live |
| ☐ | Measure results after four weeks against your baseline |
| ☐ | Use the data to identify and build automation number two |
Take the Free AI Readiness Assessment
It takes roughly 10 minutes to complete and provides a detailed breakdown of where your business stands and which starting points will produce the fastest results. You keep the report regardless of what you decide to do next.
Take the Free Assessment Free. No sales call required. You keep the report.Frequently Asked Questions
How do I start with AI in my business if I have no technical background?
Start by identifying one repetitive process you want to automate, then check whether your existing Microsoft 365 tools can handle it. Power Automate uses a visual drag-and-drop interface that requires no coding. Most first builds take 60 to 90 minutes with no technical background. If you want it done right the first time without the learning curve, an MSP like aNetworks handles the build for you.
How long does it take to see results from AI in a small business?
A realistic timeline from starting point to first working automation in production is about eight weeks. Most first automations pay for themselves in recovered labor cost within four weeks of going live. Subsequent automations build faster because the foundation is already in place.
How much does it cost to start with AI in a small business?
If you are already on Microsoft 365, the software cost for your first automation is zero. Power Automate is included in most Microsoft 365 plans. For professional configuration and build, aNetworks provides fixed-price Tier 2 builds starting at $2,500. Most first builds pay for themselves in weeks based on recovered labor cost.
What is an AI readiness assessment and why do I need one?
An AI readiness assessment evaluates your business across five dimensions: processes, data, people, technology, and security. It tells you where your gaps are, which starting points will produce the fastest results, and what needs to be in place before you invest in tools. The aNetworks assessment is free, takes 10 minutes, and gives you a specific scored report rather than generic advice.
What is the best first AI project for a small business?
The best first AI project is the one that eliminates the most time-consuming, error-prone, repetitive task in your specific business. For most small businesses in the 10 to 50 employee range, that is client intake, invoice routing, appointment reminders, or new employee setup. The right answer depends on your specific situation, which is exactly what the readiness assessment identifies.
Furthermore, if you have any questions or need assistance at any stage of the process, feel free to contact us. We are happy to help whether you are at step one or step eight.
Additionally, if you are looking for more context on the AI opportunity for your business, check out our other resources in the aNetworks blog.
aNetworks, Inc.
aNetworks is a managed IT services provider based in Norwell, Massachusetts, serving small and mid-sized businesses across southern Massachusetts since 1997. We handle IT infrastructure, cybersecurity, Microsoft 365, and custom application development. We help our clients figure out how to start with AI in business using practical strategies that produce real results. Questions? Reach us at info@anetworks.com or visit anetworks.com.