The short answer your CIO has been looking for
Intelligent automation (IA) combines artificial intelligence with business process automation technologies. Together, they perform tasks that require minimal human intervention while adding something basic automation can’t: the ability to interpret, learn, and make decisions.
In a government setting, this means a system that can receive a scanned tax assessment form, read the handwritten fields, extract the relevant data, validate it against your records, and route it to the appropriate department for review. No retyping. No toggling between screens. No sticky notes reminding someone to follow up.
IA brings together several technologies that each play a specific role: business process automation (BPA), robotic process automation (RPA), and intelligent document processing (IDP). When these work together, agencies can handle higher volumes of work without adding headcount, a reality that matters deeply when budgets are tight and hiring timelines are long.
A Practical Breakdown for Government Agencies
If your agency still has staff retyping data from paper forms into three different systems, intelligent automation is about to become your favorite topic. It's the combination of artificial intelligence and business process automation that lets technology handle the repetitive, rule-based work your team shouldn't have to do manually.
Think of it this way: basic automation follows a script. Intelligent automation reads the script, understands what it means, and makes decisions about what to do next. That difference matters a lot when you're processing thousands of vendor invoices, HR onboarding packets, or grant applications every quarter.
How Is Intelligent Automation Different from AI?
They’re related, but they’re not the same thing
Artificial intelligence is a broad category. It refers to machines performing tasks that typically require human intelligence, such as understanding language, recognizing patterns, or making predictions. Generative AI tools like ChatGPT fall under this umbrella, but so do the machine learning models that power document classification and data extraction.
Intelligent automation is more specific. It applies AI capabilities to automate actual business processes. Where AI on its own might analyze a dataset or generate a summary, IA takes that intelligence and puts it to work inside your existing workflows.
Here’s a simple way to think about it. AI is the brain. Automation is the hands. Intelligent automation is what happens when the brain tells the hands exactly what to do, and when to do it differently based on what it sees.
For government teams, this distinction matters because IA isn’t about replacing human judgment. It’s about removing repetitive steps that slow your staff down before they reach the part of the job that requires their expertise.
How Is Intelligent Automation Different from AI?
What’s actually under the hood
Intelligent automation isn’t a single product you install. It’s a combination of technologies that work together. Understanding each piece helps you figure out where to start and what to prioritize.
Business Process Automation (BPA) is the foundation. BPA uses software to automate repetitive, rule-based tasks within your existing workflows. In Laserfiche, for example, a workflow might automatically route a completed development agreement to the appropriate reviewer, send a notification when a deadline approaches, or move a document into long-term storage once it’s approved. BPA follows predefined rules. It’s reliable and consistent, but it doesn’t “think.”
Robotic Process Automation (RPA) takes this a step further by using software bots to interact with multiple systems as a person would. If your agency needs to move data from a licensing and certification platform into a financial system that doesn’t have a direct integration, an RPA bot can handle that transfer. It logs in, copies the data, enters it into the correct fields, and proceeds to the next record. RPA is especially valuable for agencies running older systems that weren’t built to integrate.
Intelligent Document Processing (IDP) is where AI comes into play. IDP uses technologies like optical character recognition (OCR), natural language processing (NLP), and machine learning to read, classify, and extract data from documents. This includes structured forms such as inspection reports, semi-structured documents such as vendor invoices, and unstructured content such as court filings or correspondence. Laserfiche offers built-in IDP capabilities with tight integration into its content management platform. For agencies dealing with complex, multilingual, or highly variable documents, ABBYY provides advanced recognition across more than 200 languages and excels at handling difficult source material. Some agencies use one or the other. Others combine both to cover a wider range of document types.
What Does Intelligent Automation Look Like in Government?
Real workflows, not just theory
Government agencies handle a wide range of documents and processes, and IA can be applied to many of them. Here are a few examples that go beyond the usual suspects.
A county finance office receives hundreds of vendor invoices each week from different suppliers, each in a slightly different format. IDP reads and classifies each invoice, extracts key data like vendor name, PO number, and amount due, and feeds it into the accounts payable workflow. BPA routes invoices for approval based on dollar thresholds, and RPA posts the approved payments to the financial system.
A school district’s HR department processes employment applications and onboarding documents for new hires. Instead of staff manually entering data from W-4s, background check authorizations, and certification records, IDP captures the information and populates employee records automatically. Workflow rules trigger the next steps: benefits enrollment notifications, IT access requests, and credential verification.
A state agency manages grant applications and reporting. As applications arrive in various formats, IDP extracts applicant information and budget details. BPA assigns reviewers and tracks deadlines. When reports are due, automated reminders go out, and submitted documents are validated against the original application data.
In each case, the common thread is the same. Staff spend less time on data entry and manual routing and more time on work that requires their judgment, such as reviewing applications, making decisions, and serving the public.
Getting Started Without Getting Overwhelmed
Small wins add up fast
You don’t need to automate everything at once. Most agencies start with a single high-volume, high-pain process and expand from there. Identify where your team spends the most time on repetitive data entry or document handling, and that’s usually the right place to begin.
The goal isn’t to replace your staff. It’s to free them from the tasks that keep them from doing their best work. And that’s a goal worth pursuing, no matter your agency’s size or budget.
Break free from endless retyping. Get more good days done.