Case Study
Insight
Copilot Licenses vs. Custom AI Solutions: What Manufacturers Get From Each
By: Bob Marsh
Microsoft 365 Copilot helps individual employees write, summarize, analyze and find information faster inside the Microsoft tools they already use. A custom AI solution is built around one business process, such as deduction matching or demand forecasting, and runs that process across your ERP, CRM and other systems every day. Most manufacturers get value from both, and the question is which work belongs where.
Many manufacturers rolled out Copilot licenses over the last year or two, and people now use them for emails, meeting notes and quick Excel help. That is a good first step. The next question usually comes from finance or operations leaders who want to know why the same tool cannot take over a whole process, like month-end reconciliations or contract price checks.
In this guide, we'll compare Copilot licenses and custom AI solutions side by side. You'll see what each one is good at, where each one runs out of road, and a simple way to decide which to use for a given piece of work.
How do Copilot and a custom AI solution compare?
The table below compares the two on the points that matter most to a mid-market manufacturer. Neither option is better in general, because they are built for different jobs. Use the table to see which column describes the work you have in mind.
| Microsoft 365 Copilot | Custom AI Solution | |
| What it is | An AI assistant built into Microsoft 365 apps | A solution built for specific business processes, on your systems and data |
| Who uses it | Individual employees, on their own tasks | A team or a process, often running in the background |
| Data it works with | Primarily Microsoft 365 data. Other systems depend on available connectors or custom builds | ERP, CRM, customer portals, EDI, documents and any other system the process needs |
| Typical work | Drafting emails, summarizing meetings and documents, analyzing a spreadsheet, finding files | Matching deductions, validating contract prices, forecasting demand, preparing quotes |
| How it runs | When a person asks it something | On a schedule or when new data arrives, with people approving the results |
| Controls | Microsoft 365 permissions and admin settings | Rules, approval steps and audit trails designed for the process |
| How value is measured | Time saved per person, often hard to total up | Before-and-after numbers for one process, such as hours, dollars recovered or reducing errors |
| Best for | Everyday productivity across the whole company | Repeated, multi-step work that crosses systems |
Where does Copilot work well for manufacturers?
Copilot works inside Word, Excel, PowerPoint, Outlook and Teams, so people can use it without learning a new tool. Depending on the license, it can use the emails, files and meetings a person already has access to in Microsoft 365, and it follows the permissions your IT team has set. For everyday office work across the company, that makes it a practical and fast way to start with AI.
Microsoft sells Copilot at more than one level, and the names and packaging change often. Copilot Chat is included with many Microsoft 365 business licenses and works mainly with the web and the files or content a person shares with it. Microsoft 365 Copilot is a paid add-on that works inside Word, Excel, PowerPoint, Outlook and Teams and can draw on the emails, files, chats and meetings a person has access to across the company. Before comparing options, check which version your team actually has, because that decides how much of your company's own information Copilot can use.
Typical examples in a manufacturing business include:
Sales: drafting customer emails, summarizing account notes before a meeting and preparing a first draft of a proposal
Finance: explaining a formula, summarizing a variance in a spreadsheet or drafting a memo from a set of notes
Operations and planning: summarizing a long supplier email thread or the action items from a Teams meeting
Leadership: catching up on documents and messages, and preparing talking points
Microsoft also offers Copilot Studio, a low-code platform for building agents and automated workflows. It can connect to many business systems through prebuilt and custom connectors, and together with Power Automate it can run multi-step processes, so a company with a strong internal Power Platform or IT team can build real business solutions on it. A custom solution usually makes more sense when no one in-house has the time to build and maintain those agents, or when the work needs advanced forecasting models, heavy document processing or deep, carefully tested integration with an older ERP.
Where does a custom AI solution fit better?
A custom solution fits best when the work is a whole process made up of many steps. The process repeats every day, week or month, crosses several systems, and follows rules the business already knows. In those cases, an assistant that waits for a person to ask it something leaves most of the work still manual.
Typical examples in a manufacturing back office include:
Deductions and short pays: reading remittances, matching each deduction to invoices, shipping records and contract terms, and drafting disputes
Contract and price validation: checking every invoice against agreed prices, price-downs and material adjustment clauses
Demand forecasting: combining order history, customer releases and market signals into a forecast that updates on its own
Quote preparation: pulling similar past quotes and current costs into a draft for the estimator
Inventory management: reviewing historical and forecasted order data to intelligently guide what should be in ready stock versus deep storage
Recurring reporting: building weekly and monthly reports from ERP and CRM data without copying and pasting
These solutions are built on your own data and systems, and they run with approval steps and audit trails that match how your business works. Their value is also easier to measure, because each one targets a specific process with a clear starting point. That makes it simpler for finance to see what the investment returned.
For example, say an accounts receivable team spends about 20 minutes researching each of 400 customer deductions a month. If a custom solution takes over most of that research for 60% of them, the team gets back roughly 80 hours a month, and finance can check that number against how long the old process took. In OnTrac AI's own automation work, results like this have added up to thousands of hours of manual processing returned to individual team members and whole departments.
Signs you need more than Copilot
Copilot keeps adding value long after a custom solution arrives, so needing more than Copilot means adding a second kind of tool for some of the work. Usually a few tasks people keep asking Copilot to help with turn out to be whole processes that need their own solution. These signs usually show up first:
People paste the same data into Copilot every week. If a team exports from the ERP, pastes into Excel and asks Copilot to compare it, the process itself is ready to automate.
The work needs systems outside Microsoft 365. ERP transactions, CRM records, EDI messages and customer portals are where most back-office work lives.
The result has to be right every time. Price checks, deductions and forecasts feed financial decisions, so they need rules, testing and an audit trail.
Nobody can say what the licenses saved. Leadership asks for the return on AI, and the honest answer is spread across hundreds of small tasks.
Someone built a clever workaround. An internal champion has a prompt, a spreadsheet macro or a small agent that the whole department now depends on.
Can Copilot and custom AI solutions work together?
Yes, and in most companies they should. Copilot stays the everyday assistant for writing, summarizing and finding information, while custom solutions handle the processes that run in the background. People still work in Outlook, Teams and Excel, and the results of a custom solution can be delivered there, such as a list of deductions to approve or a weekly forecast summary.
The two also build on each other. Teams that use Copilot well tend to be more comfortable with AI, which makes it easier to roll out a custom solution and get people to use it. Many of the best ideas for custom solutions also come from watching where people already lean on Copilot every week.
How should a manufacturer decide which one to use?
The simplest test is to look at the work itself. Ask whether it is a one-off task for one person or a repeated process for a team, and whether it lives inside Microsoft 365 or across other systems. The table below turns that into a quick guide.
If the work is... | Start with |
| A one-off task for one person, such as an email, summary or quick analysis | Copilot |
| Mostly inside Microsoft 365 files, email and meetings | Copilot |
| A simple, low-risk workflow your IT team can build and maintain | Copilot Studio |
| Repeated every week or month by a team, across ERP, CRM or portals | Custom AI Solution |
| Tied to money, such as prices, deductions, accruals or forecasts | Custom AI Solution |
| Something leadership wants measured with a clear before and after | Custom AI Solution |
FAQ
Is Microsoft 365 Copilot enough for a manufacturing company?
For everyday office work such as emails, documents, meetings and quick analysis, Copilot is often enough. For repeated processes that cross the ERP, CRM, EDI or customer portals, most manufacturers need something built for that process. Many companies use Copilot across the business and add custom solutions for a few high-value processes.
Can Copilot connect to our ERP?
Copilot works mainly with content in Microsoft 365, and Microsoft offers tools such as Copilot Studio to connect agents to other data sources. How far that goes depends on your ERP, your IT team's skills and how complex the process is. For processes that need many rules, testing and approvals, a custom solution built directly on your ERP and CRM data is usually more reliable.
Is a custom AI solution more expensive than Copilot licenses?
They are priced differently, so a direct comparison can mislead. Licenses are a per-user cost spread across the company, while a custom solution is an investment in one process with a measurable result. The cost of a custom project depends mainly on the process, the number of systems involved and how ready the data is.
Will a custom AI solution replace Copilot?
No. The two do different jobs, and most companies keep both. Copilot stays the everyday assistant, and custom solutions take over specific processes, often delivering their results into Outlook, Teams or Excel where people already work.
How long does it take to build a custom AI solution?
It depends on the process and how many systems it touches, which our team would discuss with you. As a rough guide, a focused first use case with data in one or two systems often reaches a working version in about 4 to 8 weeks, while work that connects several systems could take 3 to 6 months or more. Some up front scoping, technical definition sessions, and possibly even data reviews up front would confirms the timeline before any build starts.
Build on what your team already started
If your company has rolled out Copilot, you have already taken an important step: people are using AI in their daily work. The next step is to look at where that use keeps running into the same limits, usually in processes that repeat and cross systems. Those processes are where a custom solution adds the most value.
OnTrac AI helps manufacturers find the processes where a custom AI or automation solution will pay off, and builds it on their own data alongside the tools they already use.
Not sure where to begin? Start with these free resources:
Ready to talk about what comes after Copilot?