From Calculator to Copilot: The rise of Paycom’s AI and Automation Tools

TL;DR

• Modern HR software has expanded beyond simple pay calculations to handle broader workforce management and accelerate daily operations.
• Tools like Beti^® automatically build each payroll using live data, flag discrepancies and guide employees through error resolution before submission.
• Approved time tracking and benefit selections flow directly into payroll, removing manual hand-offs.
• Paycom applies a “smart AI” approach, pairing decisioning logic for rule-based processes with command-driven AI for retrieving workforce information..
• Paycom operates off its owned data centres, meaning there is no additional cost to clients for AI features or token usage.

In the pre-AI era, payroll software had a fairly narrow remit: work out what people should be paid and get the numbers right. Today, businesses expect their HR systems to take on much more of the work that sits around payroll and workforce management.

Automation already handles many of the repetitive steps that once needed manual input. AI is now extending that role, helping people get to the information they need more quickly and making some everyday HR processes easier to complete.

Paycom’s approach reflects that broader shift. Its platform uses different forms of automation and AI depending on the task, from rules-based automated-decisioning logic to tools that let users ask for workforce information directly.

From calculation to automation

Payroll shows how much the role of HR software has already changed. With Paycom’s Beti^®, each payroll can build itself automatically using live employee data already held in the platform. The software flags discrepancies as they appear, then guides employees through resolving them before payroll is submitted.

Paycom’s workflow also extends beyond pay itself: Approved time data can move directly into payroll without being entered again, while completed benefit selections automatically feed through to the same process.

Fewer of the hand-offs around payroll need someone to move or re-enter the data manually. Payroll software still has to get the numbers right, but automation now lets it take on more of the routine work and accuracy checks needed to get there.

Different jobs need different kinds of intelligence

AI in HR covers more than one kind of tech. Paycom’s “smart AI” approach uses different tools depending on the job, including automated decision logic where a process already follows clear rules.

Some of the most useful applications are relatively straightforward.

GONE®, for example, can approve or deny time-off requests using criteria set by the employer, while Expense Management can read uploaded receipts and automatically approve eligible claims. Paycom’s Time and Attendance software can apply similar rules to timecards and punch changes.

From clicking through software to simply asking

Even well-designed HR software can take time to navigate when you need one specific piece of information. Paycom’s IWant™ takes a different approach, letting users type a request or use voice-to-text on mobile and retrieve information directly from the company’s employee and applicant data.

A manager could use it to check an employee’s time-off balance or pull up information on a candidate without hunting through different menus. For routine workforce requests, IWant™ can also bring punch changes and time-off approvals into the same interface without additional navigation needed.

Executives can also use IWant™ to retrieve current workforce information in real time, without waiting for someone else to pull it together. That gives leaders a quicker route to current employee data when they need it to inform a decision.

A Forrester Consulting study commissioned by Paycom projected that a composite organisation using IWant™ could save up to 3,600 employee hours, 600 manager hours and 60 executive hours each year.*

Paycom applies a similar idea to employee questions through Ask Here. Its AI-powered search scans company documents and saved HR responses to answer common workplace queries, while more complicated or sensitive questions can still be routed to the right person.

Useful AI needs reliable information

IWant™ works from employee and applicant data already held in Paycom’s single database. With one source to search, it can retrieve current workforce information without first trying to reconcile answers across separate HR systems.

Access still follows the permissions an organisation already has in place within Paycom, so users only see the information available to their role. Human oversight also remains part of the company’s wider AI approach, with its systems subject to governance and review.

AI costs without token-based surprises

AI pricing can become difficult to predict when providers charge separately for model access, usage or the number of tokens processed. As employees make more requests, those consumption-based fees can rise and make it harder for an organisation to forecast the full cost of using AI at scale.

Paycom takes a different approach. Its AI features do not add a separate charge for token usage, so clients are not asked to monitor token spend each time employees or leaders use an AI-powered tool. That gives organisations a clearer view of costs while allowing teams to use the technology as part of their normal work.

AI that earns its place

The real test for AI in HR is whether it makes everyday work easier. Saving someone from chasing down information or stepping through a routine process can be more valuable than adding another headline feature to the software.

Paycom is building its AI and automation around those practical jobs, and its IWant™ software also gives leaders a faster route to the workforce information behind bigger decisions.

As these tools become more capable, their value will increasingly come down to how much useful work they can quietly take off people’s hands.