When talking about modernization, governments tend to concentrate on substituting old systems with new platforms, architectures, and large-scale transformation programs. Sometimes this approach is required.
Yet AI now offers an alternative that can greatly improve the citizen experience without replacing the current technology. At AOT Technologies, we have seen this in action. In two of our recent government projects, we introduced AI as an intelligent layer on top of the existing form technology. The main applications have remained unchanged, while AI has changed how citizens interact with them, creating a new path to modernization.
From filling out a form to having a conversation
Government forms can be difficult. A particular field might seem easy, but getting the right answer usually requires knowing policy, using the correct terminology, meeting eligibility requirements, or getting information from other government agencies. Standard form technology can identify fields and check the format, but it doesn’t understand the citizen’s intent.
AI fills this gap; in one municipality, we are introducing an AI chatbot alongside the current form technology rather than replacing the system. The assistant can understand both the overall application and the specific context of each field the citizen is filling out.
This point matters: if a user comes across a confusing question, they don’t need to leave the application, search for information, interpret policy documents, and then return uncertain. Instead, they can just ask:
What does this question mean?
Does this relate to my case?
What do you want me to provide?
The AI’s response depends on the specific application and industry; although the existing form is retained, the user experience changes.
Applying the same idea to complex provincial permitting
We are also using this method for a water permit application with a Canadian Provincial Government agency. Obtaining a permit is difficult not because of data entry, but because applicants must know what information is needed in their particular case. In this instance, the AI assistant helps with both the overall process and individual fields, letting users ask complex questions in simple language and get appropriate help at every stage.
The assistant goes beyond explaining the form; in one part of the water permit application, applicants must complete a complex calculation under government policy. Rather than asking users to find and interpret the policy, the AI assistant carries out the calculation as part of the conversation. The user supplies the required information; the chatbot then performs the calculation in real time using the official formula, explains the result when needed, and lets the user enter the answer directly into the form.
Just as importantly, the chatbot’s replies are grounded in government-approved policies and source material, not general AI knowledge. This provides authoritative advice, lowers errors, and ensures recommendations conform to official rules.
This is a major improvement for citizens. The AI does not formulate rules or policies; instead, it helps people apply current government rules exactly when they need them. Rather than asking applicants to learn government terminology and policies, we can provide expertise exactly when it is needed. This small change signifies a major transformation in digital government.
AI as an experience layer
AI is often seen primarily as a tool for automation, content generation, or decision-making. Although these applications are valuable, AI can also act as an intelligent interface between citizens and existing government systems, delivering immediate advantages for many public-sector organizations.
This approach opens new possibilities: a program developed a decade ago doesn’t have to be completely rewritten right away; instead, the government can focus on making the application look modern to citizens, even while the existing technology stays in use.
An AI layer will allow citizens to understand the relevant terminology, navigate complicated applications, answer specific questions, apply policy accurately, carry out calculations, and complete forms with confidence. For the government, this means higher-quality submissions, fewer unnecessary inquiries, and less frustration. Most importantly, it enables incremental modernization without large-scale replacements each time an improvement is made.
Modernize where the citizen feels it
The need to modernize existing infrastructure persists, and some systems will still need replacement. Yet, given that government manages hundreds, sometimes thousands, of applications and processes, replacing all of them before improving the citizen experience is not realistic.
We have another option: retain the reliable systems and business practices that are currently working, incorporate intelligence together with them, and improve the citizen experience.
Keep the trusted systems and business processes that still work. Add intelligence around them. Improve the experience citizens actually encounter, then modernize the underlying technology where and when the business case makes sense.
At AOT Technologies, we increasingly think of this as modernization without necessarily starting with re-engineering.
And the idea extends well beyond forms. Permits, licences, grants, benefits, registrations, inspections, and countless other government services share the same basic challenge: government understands its processes far better than the citizen interacting with them.
AI gives us an opportunity to close that gap.
And for public-sector organizations looking at a long list of legacy applications and wondering where to begin, the answer may not always be:
Replace the system.
It may sometimes be:
Start by transforming the experience.
Author Profile:
Michael Kares is a technology and enterprise sales leader with three decades of experience helping organizations navigate complex technology landscapes and drive digital transformation through practical, scalable solutions.