An invoice needs paying, an application needs reviewing, a contract needs signing and a claim needs assessing. But before any of that can happen, someone often has to open the document, find the right details and copy them into another system. Repeat that across hundreds or thousands of files and the hours quickly add up.
Automated document processing takes on much of that repetitive work. It finds the required information and turns it into data that other systems can use. Boston Consulting Group reports that a European bank cut manual processing time by 70% after redesigning its lending workflows and introducing an AI agent. Nitro’s State of AI in Document Workflows Report also found that 62% of employees lose six or more hours each week to manual document tasks, while 31% lose more than 11 hours.
Nitro Automate is designed to give some of that time back. It can standardise incoming files, extract their information and use it to update records, route documents or start the next task. The five stages below follow that journey from arrival to action.
TL;DR
- Standardise files as they arrive: Nitro Automate can apply OCR (Optical Character Recognition) and prepare PDFs, scans and other incoming documents so they can be handled consistently.
- Extract the information you need: Text, tables and individual details can be pulled by Nitro from documents without employees opening every file and copying the data by hand.
- Use that data to start the next task: Extracted information can update a business system, route a document, or trigger an eSignature request automatically.
- Connect with the tools you already use: Nitro Automate works through APIs and platforms including Microsoft Power Automate and Zapier, while Nitro MCP lets users request document actions conversationally through Claude.
- Repeat the workflow at scale: The same sequence can handle large volumes of documents in the background without creating an equivalent rise in manual work.
- Reduce time spent on routine tasks: A Forrester study commissioned by Nitro found that it could save an average of 15 minutes per PDF processed and 20 minutes per signature request, while reducing administration and troubleshooting time by 70%.
The 5-Stage Document-to-Data Journey
For the team receiving it, a completed document is often the start of several new tasks. A delivery note needs matching to an order, a new starter’s details need adding to the HR system, and an application needs routing to the right reviewer. Nitro Automate connects the steps between a file arriving and the job being completed, so employees spend less time opening documents, copying details and nudging work along.
Stage 1: The document arrives
Think about all the ways documents reach your team. Some arrive as tidy digital PDFs. Others turn up as email attachments, portal uploads, scans, photographs or paper forms—sometimes sideways, difficult to search or in a format that another system cannot easily read.
Even largely digital organisations still fall back on paper. According to Nitro’s State of AI in Document Workflows Report published in July 2026, 96% of executives and 94% of managers said their organisation had asked an employee to print, sign, scan and email a document within the previous six months.
Before you can automate what happens next, those varied files need to be made consistent. Nitro Automate can apply optical character recognition (OCR) to scanned documents, correct page orientation and standardise incoming files so your other systems can handle them reliably.
Stage 1 in practice: Keep time-critical paperwork moving
Industry: Logistics
The challenge: Your shipping documents may arrive from suppliers, ports and carriers in a mixture of formats. Before anyone can use the information, an employee may need to rotate a scan, convert a file or make its text searchable.
How Nitro Automate helps: As customs declarations, bills of lading and purchase orders arrive, Nitro Automate can apply OCR, correct page orientation and convert them into a consistent format ready for the next stage.
Why it matters: Your team spends less time preparing files by hand, while the information needed for customs clearance or cargo dispatch can move forwards sooner.
Stage 2: Nitro Automate extracts the information needed
Once a document is readable, the next job is finding the useful information inside it. That might mean reading a complete block of text, lifting figures from a table or locating a few specific details hidden across several pages.
Nitro Automate can extract:
- Text: The written content of a document, ready for searching, indexing or archiving.
- Tables: Rows and columns from invoices, financial records and inventory lists.
- Individual details: Names, dates, invoice numbers, purchase-order values and tax IDs.
Instead of asking an employee to open every file and copy each detail by hand, Nitro Automate can pull out the information your workflow needs and get it ready for the next stage.
Stage 2 in practice: take the data entry out of invoice handling
Industry: Finance and accounting
The challenge: Once incoming invoices have been standardised and made readable, your team still needs to get the useful information out of them. Each one may contain an invoice number, purchase-order reference, payment date, line items, tax and a final total. Across hundreds of invoices, copying those details into another system becomes a sizeable job.
How Nitro Automate helps: Nitro Automate can identify and extract the relevant fields and table data from each invoice. Your finance team can review the captured information rather than retyping every line from scratch.
Why it matters: Invoices can move towards approval and payment more quickly, while employees concentrate on unusual or incomplete submissions instead of entering routine data.
Stage 3: Information becomes structured, usable data
Extracting a value is only part of the job. If Nitro Automate finds the date “12 October 2026”, another system still needs to know whether that is a birth date, appointment date or payment deadline.
At this stage, the extracted information is labelled and organised into a consistent structure. Nitro Automate can then pass it into another approved system through an API or through platforms such as Microsoft Power Automate and Zapier. The exact setup will depend on where your organisation needs the information to go.
Stage 3 in practice: turn inconsistent intake forms into organised patient data
Industry: Healthcare
The challenge: Once patient details have been extracted, the receiving system still needs to understand what each piece of information represents. A name, NHS number or contact detail may be labelled or positioned differently on every form, so the data must be organised consistently before it can be used.
How Nitro Automate helps: Nitro Automate can organise the extracted details into consistent fields and pass them to the right places in the right systems. If information is missing or unclear, the workflow can be configured to send the form for human review.
Why it matters: Your administrative team spends less time sorting and re-entering routine information and more time checking the forms that genuinely need attention. Well organised data can also reach the relevant teams sooner, helping to reduce waiting times and avoid unnecessary delays.
Stage 4: Data Triggers the Next Stage of Work
By this point, Nitro Automate has turned your document into organised data. Now that information can be put to work.
A file upload, completed form or signed agreement can start a predefined workflow automatically. Nitro Automate can then use the information it extracts to update a record, send a document to the right team, apply a redaction or request a signature. The next stage begins without waiting for someone to notice the file and move it forwards manually.
Stage 4 in practice: move signed deals into onboarding
Industry: Sales
The challenge: Once the contract details have been extracted and organised, they still need to be put to work. Without automation, someone must update the CRM, tell finance that invoicing can begin and let operations know that the customer is ready for onboarding.
How Nitro Automate helps: The arrival of the completed order form, statement of work, or an agreement can trigger the next steps. Nitro Automate uses the organised data to update the appropriate CRM fields and route the information or document to the relevant finance and operations teams. The automated workflow does not have to end there (though it can!): updating the CRM could set another document task in motion, such as invoice creation, or begin onboarding.
Why it matters: The handover does not have to wait in someone’s inbox or to-do list. Sales representatives spend less time updating records and chasing colleagues, while finance and operations receive the information they need sooner.
What if the task doesn’t follow a fixed rule?
Not every document job happens often enough to justify a predefined workflow. Nitro MCP (Model Context Protocol) gives employees another way to start a task by describing the required result to Claude in everyday language.
Once Nitro MCP has been installed and approved, a user can ask Claude to extract information, convert or combine files, redact sensitive details or send a signature request. Claude interprets the instruction and calls the relevant Nitro tools; Nitro then performs the document operation.
This brings the ease of a conversational AI interface to document work without requiring employees to upload files directly to a consumer chatbot. The documents remain on Nitro’s servers and are not used to train AI models.
Stage 5: The Process Repeats at Operational Scale
Automation becomes most valuable when the same task needs to happen again and again. Once a workflow has been set up, each new document can follow the same steps—from preparation and extraction to routing and signature—without your team starting the process from scratch every time.
Nitro Automate is designed to handle thousands of documents quickly and consistently. As more files arrive, the workflow can take on the extra volume without creating the same rise in manual work for your team.
Stage 5 in practice: Repeat the same claims workflow at scale
Industry: Insurance and legal
The challenge: Once a connected claims workflow has been set up, it needs to keep working when demand rises. An insurer may manage its usual flow comfortably, only to receive a sudden spike after a storm, flood or other major event. If employees must open, check and route every supporting document manually, queues can grow much faster than the team can clear them.
How Nitro Automate helps: Each new claim can follow the same workflow automatically, whether the insurer receives dozens of submissions or thousands. Nitro Automate standardises the files, extracts details such as policy numbers and incident dates, passes complete claims to the appropriate system and sends unclear submissions for human review.
Why it matters: The workflow can handle extra document volume without requiring the same rise in repetitive administrative work. Claims teams can concentrate on complex cases and affected customers rather than spending their time opening and sorting files.
Where else could the five-stage journey be used?
The examples above focus on logistics, finance, healthcare, sales and insurance, but the same journey can apply anywhere documents contain information that needs to go somewhere else.
In HR, new-starter forms could trigger right-to-work checks and onboarding tasks. Procurement teams could extract supplier and payment details from invoices and match them with purchase records. A property business might pull dates, rent reviews and break clauses from leases, while a university could take information from admissions and visa documents and pass it into student systems.
The sector changes, but the basic journey remains the same: a document arrives, its information is extracted and organised, and that data starts the next piece of work.
Could Nitro Automate help your team?
Nitro Automate could help your team or organisation if you work with documents regularly. Start by looking for document work that is frequent, repetitive and follows a predictable series of steps. If employees regularly open the same types of files, copy the same information or manually move documents from one person or system to another, there may be a good opportunity to automate. Not sure which task to tackle first? Read our guide to [Where to Start With Nitro Automate: Identifying the Right Workflows to Automate] for help spotting and prioritising the strongest opportunities.
Alternatively, contact the Nitro team to discuss the most suitable way to automate your tasks. They have a 95% customer satisfaction score for support and will be happy to help.
FAQs
What should happen when data extracted from a PDF is missing or incomplete?
Automated workflows should always be designed with built-in "exception routing" to catch incomplete or low-confidence data before it reaches your core systems.
When Nitro Automate encounters an unreadable scan, a missing required field, or an ambiguous character, it flags the file and shares it with the designated team member for manual review. Rather than stopping the entire pipeline, the system isolates the specific document, highlights the uncertain fields for a human operator to verify and then resumes the automated background workflow once approved.
How should businesses validate document data before updating a CRM or ERP?
Data validation should happen in two stages. First, check that the extracted information is both correctly formatted and consistent with your existing records. For example, the workflow might confirm that dates, account numbers or invoice totals follow the expected structure. Then, where systems are connected, key details should also be checked against information already held in the CRM or ERP. Any missing or inconsistent data should trigger the "exception routing" and pause the update to be sent for human review.
Can automated document workflows include human approval steps?
Automated workflows don’t mean you have to remove humans from the loop entirely. Human approval can be included as a required stage rather than treated as a break in the workflow. Nitro Automate could extract the totals from an invoice, for example, and send them to a manager for approval. Only once that approval is received would the workflow update the ERP, send a document through Nitro Sign or continue to the next task. This automates the routine work while keeping important decisions with the right person.