Why some documents are better automation candidates than others
If you’re thinking about document automation, the hardest part usually isn’t the technology. It’s figuring out where to start.
Most operations teams have dozens of document-heavy processes. Invoices, forms, contracts, onboarding packets, shipping paperwork, emailed requests, scanned PDFs sitting in SharePoint, attachments buried in Outlook — the list gets long fast. But not every document is the right first move.
The best early candidates tend to share a few traits: they show up all the time, people handle them in pretty much the same way, and the information inside them needs to end up somewhere else. Usually that’s a Microsoft stack — Dynamics 365, Business Central, Excel, SharePoint, Teams, or a Power Apps workflow.
And this is where a lot of teams get sideways: your first automation project probably shouldn’t be the gnarliest process in the building. Pick the one that gives you a clean win, shows value fast, and makes the next project easier to greenlight.
If you’re still deciding whether you’re ready to automate documents, sort that out first. But if your team is already buried in repetitive document handling, these are usually the first seven places I’d check.
1. Vendor invoices
Vendor invoices are usually the first document type worth automating because they hit that sweet spot of high volume, repeatable handling, and direct business impact.
Without automation, the process is pretty familiar. An invoice comes in through email, mail, or a vendor portal. Someone opens it, finds the vendor name, invoice number, date, amount, PO number, line items, and due date, then keys all of that into an ERP or accounting system. After that, it gets routed for approval, matched against a purchase order, and eventually paid.
That’s a lot of manual touchpoints for one document.
In Microsoft environments, this is often a strong fit for Azure AI Document Intelligence, Power Automate, SharePoint, and Dynamics 365 or Business Central. You can extract invoice data, validate it, route exceptions to the right person in Teams, and push approved records downstream without somebody retyping the basics.
Why put invoices near the top of the list? Not just efficiency. Control. Fewer manual steps usually means fewer duplicate payments, fewer missed due dates, and better visibility into where an invoice is stuck — which is half the battle in a lot of AP teams.
And if this is your biggest pain point, a deeper look at accounts payable automation can help you map the whole process, not just the extraction step.
The trade-off is that invoice automation can look simpler than it really is. Exceptions matter. Multi-page invoices, handwritten notes, tax variations, and line-item matching can get messy fast. Even so, partial automation usually saves real time because your team stops burning hours on straightforward invoices from repeat vendors.
2. Purchase orders
Purchase orders are a smart next target because they’re structured, predictable, and tightly connected to procurement and AP.
Most POs contain familiar fields: PO number, buyer, supplier, ship-to address, item descriptions, quantities, pricing, and terms. That consistency makes them easier to extract than loose, free-form documents.
When teams automate POs, they’re usually trying to improve a bigger workflow, not just read a PDF faster. A common example: a PO lands as a PDF attachment in Outlook, Power Automate saves it to SharePoint, AI extracts the key fields, and the data gets checked against what’s already in Dynamics 365. If something doesn’t line up, the buyer gets a Teams alert.
That cuts down on the usual back-and-forth between purchasing, receiving, and finance.
There’s also an upstream benefit here that gets missed. Automating purchase orders improves the quality of downstream matching. If your PO data is shaky at intake, invoice matching gets harder later. So even when invoices are the visible pain, POs may be the fix that makes the whole chain run better.
3. Employee onboarding forms
Employee onboarding forms are one of those document categories operations and HR teams put up with for way too long because each packet seems small by itself. But if you’re hiring steadily, that admin work stacks up in a hurry.
You might be dealing with offer letters, direct deposit forms, tax forms, policy acknowledgments, emergency contacts, ID documents, and benefits paperwork. Some are digital, some are scanned, and some show up incomplete. Then somebody has to check them, chase down missing fields, and enter data into HR, payroll, IT, and compliance systems.
That’s exactly the kind of fragmented work automation handles well.
In a Microsoft stack, you can use Power Apps for intake, Power Automate for routing, SharePoint for secure storage, and AI models to pull data from uploaded forms when needed. If a bank account field is missing or a signature isn’t there, the workflow can flag it before HR finds out the hard way during payroll.
Onboarding belongs on this list for a simple reason: it affects both speed and experience. Your team has less manual paperwork to wrestle with, and new hires get a smoother first week — which people remember more than you’d think.
The catch is that onboarding packets usually mix document formats. Some are highly structured. Others definitely aren’t. If you want a better sense of structured vs unstructured documents, that distinction matters a lot when you’re setting the scope.
4. Expense receipts and reimbursement forms
Expense receipts and reimbursement requests are a great automation candidate because they’re repetitive, annoying, and almost never where your team wants to spend its time.
Employees submit photos of restaurant receipts, hotel folios, parking slips, taxi receipts, and conference charges. Finance or operations has to read them, confirm dates and amounts, match them to policies, and enter or approve them in the right system. If the image is blurry or the total doesn’t match the claim, now you’ve got follow-up work too.
This is one of those cases where automation doesn’t have to be perfect to pull its weight. If a model can extract merchant, date, amount, tax, and category on most receipts, you’ve already removed a big chunk of tedious review.
Because receipt workflows often start on a phone, they’re usually a natural fit for Power Apps paired with Power Automate and Microsoft 365 approvals. Someone snaps a picture, submits it, and the system does the first pass before a manager ever sees it.
Another upside people don’t always think about: receipt automation helps with policy enforcement too. It’s not only about faster reimbursements. It helps catch missing receipts, duplicate submissions, and out-of-policy claims earlier, when fixing them is still pretty painless.
5. Customer order forms
Customer order forms are often hiding in plain sight. Sales teams, customer service reps, and operations coordinators deal with them every day, but because they come in through so many channels, the process starts to feel normal instead of broken.
A customer emails a PDF order form. Another sends a scanned handwritten sheet. A third uses a fillable form but types product names a little differently than your ERP expects. Then somebody has to read the order and enter items, quantities, customer details, delivery instructions, and requested dates into the system.
That’s where delays and mistakes start creeping in.
Automating order forms can speed up order entry, reduce rekeying errors, and improve fulfillment accuracy. It also gives you better visibility when orders are incomplete. If a shipping address is missing or a product code doesn’t exist, the workflow can kick the order back for review instead of letting the problem show up later in the warehouse.
This is especially valuable for manufacturers, distributors, and field-service businesses that still receive orders in mixed formats. And because order forms touch revenue directly, the payoff is usually easier to explain internally than a back-office project with less visible results.
If your team is trying to understand what document extraction means in practical terms, this is one of the clearest examples. You’re taking data locked inside a document and turning it into something your systems can actually use.
6. Bills of lading, packing slips, and shipping documents
Shipping documents are strong automation candidates for companies that move physical goods, especially when warehouse, customer service, and finance all rely on the same paperwork.
Bills of lading, packing slips, proof-of-delivery forms, and shipping confirmations often contain critical details that need to be captured fast: shipment number, carrier, item counts, weights, delivery dates, and receiving notes. But they also tend to arrive in rough shape — scanned, wrinkled, marked up, or photographed on a dock.
That doesn’t make them a bad automation candidate. It just means you need realistic expectations and a solid exception process.
When these documents are automated well, operations teams can update shipment status faster, resolve disputes sooner, and reduce the lag between physical movement and system updates. A signed proof of delivery can trigger a billing workflow. A packing slip mismatch can alert someone before a customer notices a shortage.
One angle people sometimes miss: automating shipping documents isn’t only about labor savings. It’s about timing too. In logistics-heavy businesses, even a few hours of delay in document processing can affect invoicing, customer communication, and inventory accuracy.
So if your operation depends on paperwork moving with products, this category deserves a serious look.
7. Contracts, renewal forms, and standard agreements
Contracts, renewals, and standard agreements are a little different from the other items on this list. They may not always have the highest volume, but they often carry high business value.
Think about vendor agreements, customer renewals, service order forms, lease documents, or standard statements of work. Teams need to capture dates, parties, pricing terms, renewal windows, notice periods, and obligations. When that information stays buried in PDFs, you end up relying on someone’s memory or a spreadsheet that’s only mostly current.
Automation helps by pulling key fields out of the document and pushing them into a searchable system. That could mean SharePoint metadata, a contract repository, Dataverse, or a Dynamics record. Then you can trigger reminders before renewals, route documents for review, or flag missing signatures automatically.
To be fair, contracts are often less predictable than invoices or POs. Language varies. Clauses move around. Some documents are heavily negotiated; others are standard templates. So this usually isn’t the easiest place to start if your team has never automated documents before.
But if you’re dealing with standard agreements at scale, the value can be substantial because missing a renewal date or overlooking a key term often costs a lot more than a few minutes of data entry.
How to choose your first automation project
If all seven of these document types are causing pain, don’t try to automate all of them at once. Pick one.
The best first project usually checks most of these boxes:
- The document arrives frequently
- Your team follows a repeatable process
- People are retyping the same fields into another system
- Errors cause real downstream problems
- You can define what “good” looks like before you start
- There are enough straightforward examples to train and test against
In my experience, invoices and order forms often rise to the top because they’re common, measurable, and tied to outcomes leadership cares about. But your answer may be different. A healthcare organization might start with patient intake packets. A construction company may care more about delivery tickets, field forms, and other jobsite paperwork. A professional services firm could get faster value from contract renewals.
That’s why the right first document isn’t the one that’s theoretically easiest. It’s the one your team feels every single week — and the one where a better process will actually get used.
Don’t just automate the document — automate the decision around it
This is the part a lot of teams haven’t fully thought through yet.
Reading the document is only part of the value. The bigger win usually comes from what happens next. Where does the data go? Who needs to approve it? What counts as an exception? What should happen if a field is missing, a total doesn’t match, or a renewal date is too close?
If you only automate extraction, you’ll save some typing. That’s useful. But if you automate routing, validation, notifications, storage, and handoff into Microsoft 365 or business systems, you change the speed and reliability of the whole process.
That also gives you a more honest view of the cost of manual data entry. The typing is only part of it. The real drag usually shows up in delays, rework, approval bottlenecks, and bad data moving downstream.
What to do next
Start small, but start with a real process.
Pick one document type from this list and gather a modest set of recent examples. Look at where they come in, what fields your team captures, where the data gets entered, and what exceptions keep showing up. That gives you the raw material to evaluate automation in a practical way instead of guessing.
Then map the full workflow around the document, not just the document itself. If you can define the intake point, extraction needs, validation rules, approval path, and destination system, you’re in a much better position to build something that actually sticks.
If you’re stuck choosing between two document types, go with the one that combines decent volume with a process your team already understands. Early wins matter. They make the next automation project easier, cheaper, and a whole lot easier to sell internally.
