The Autonomous Frontier: Unlocking the Power of AI Agents for the Frontline Workforce

AI now shows up in almost every part of business operations, from chatbots to predictive models, but most of that investment has gone to desk-based teams. Frontline workers, who make up 80% of the global workforce by Microsoft’s count, have seen far less of it.

Agentic AI changes what those workers can expect from their tools. An agent can take a goal, work across systems to reach it, and hand a person a decision to confirm, which is a long way from the static apps most frontline teams use today.

A New Era for the Frontline

Frontline employees still spend much of their shift working around siloed systems, manual processes, and outdated tools. Finding a policy, confirming a shift change, or reporting an issue often means switching between apps or asking a manager who is already stretched.

That is a structural gap in how frontline work is supported, and agentic AI is built to close it. An agent can surface the right information for the right person, understand the context of the request, and trigger the next step in a connected workflow.

Adoption is moving fast. Gartner predicts that 33% of enterprise software applications will include agentic AI by 2028, up from less than 1% in 2024. Most frontline organizations are still near the start of that curve, and helping them move along it is the work WorkJam is doing.

From Tools to Teammates: The Three Ages of AI

Most organizations sit somewhere between generative AI, which responds to prompts, and agentic AI, which acts on goals. Getting from one to the other depends as much on how work is assigned and checked as on the technology itself.

Stage 1: AI as an Assistant (The Generative Era)

• What it does: Drafts text, summarizes documents, and retrieves data when someone asks.
• Limits: It waits for a prompt, and a person still has to act on every answer.
• Where most companies are: In McKinsey’s 2026 State of AI survey, nearly nine in ten respondents reported regular use of AI in at least one business function, but only about two in ten had reached the scaling phase with AI agents.

Stage 2: AI as a Coordinator (Agentic Breakthrough)

• What it does: Links systems, anticipates needs, and coordinates tasks.
• Key shift: The agent moves from retrieving information to taking contextual action, with a person reviewing its recommendations before they go out.
• Example: When stock runs low, the agent creates a replenishment task and sends it to the store manager to confirm.

Stage 3: AI as an Architect (The Multi-Agent Future)

• What it does: Specialized agents work together across complex operations such as staffing, logistics, and sales, each handling its own part of the job.
• Vision: A connected set of agents that act, coordinate, and learn continuously, with people setting the goals and approving the decisions that matter.
• Gartner’s forecast: At least 15% of day-to-day work decisions will be made autonomously through agentic AI by 2028, up from 0% in 2024.

Most companies are still in Stage 1. The ones moving ahead are building Stage 2 foundations now, connecting their systems so agents have something to act on. WorkJam helps frontline organizations make that move.

Why Frontline Transformation Can’t Wait

Frontline teams have been an afterthought in workplace technology for years. Corporate teams moved to modern platforms years ago, while deskless workers were left with outdated tools and manual processes, and the gap shows up as slower operations, more errors, and disengaged employees.

Supply chain volatility, labor shortages, and changing customer expectations are adding pressure across frontline industries. Agentic AI puts decision support directly into day-to-day operations, so frontline teams can spot problems earlier and resolve them during the shift.

What AI Agents Do on the Frontline Today

AI agents already handle a lot of routine frontline work. WorkJam’s AI Agent answers policy and HR questions in plain language, guides employees through multi-step processes such as a shift change, and links them to the right document or learning module when they need it. Managers get fewer repetitive questions and more time for coaching.

The next set of use cases connects those answers to action. A staffing gap flagged by your workforce management system could go straight to qualified employees as an open shift. A low-stock signal could become a restocking task, and a newly detected skill gap could trigger a short training module. Some of this is still ahead, and it is the direction WorkJam is building toward. Because the AI Agent already works across WorkJam’s communications, scheduling, learning, and task modules, the groundwork is in place.

Over time, this moves frontline work away from rigid, top-down processes and toward workflows that adjust as conditions change during the day.

How WorkJam’s AI Agent Works

We built WorkJam’s AI Agent as a secure, scalable assistant for the complexity of frontline operations. It sits inside the systems frontline teams already use, so employees get answers, guidance, and next steps without opening another app.

Enterprises choose it for three reasons:

• Purpose-built for the frontline: Designed with non-desk workers in mind, with mobile access and integration into the workflows they use every shift.
• Proactive and action-driven: Recommends a next step for each employee and connects it to the workflow that gets it done.
• Enterprise-grade governance: Respects every user permission and role, restricts access by shift and location, and gives administrators full control over how the agent is configured.

Tony English, WorkJam’s head of IT, compliance and data security, explains why that governance matters in Shadow AI Is the New Security Incident on Your Frontline.

We don’t see AI as a replacement for people. We see it as a way to give frontline workers time back from repetitive tasks and constant searching, so they can spend more of the shift serving customers and running a good operation. We make the longer case in Why AI Will Bring More Humanity Back to the Frontline.

Getting the Frontline Ready for Agentic AI

Agentic AI gives companies a new way to run frontline operations, with faster decisions made closer to the work. The companies that adopt it early will be better placed as the technology matures, and their employees will have tools that keep pace with the job.

WorkJam’s AI Agent is available now as part of the Workforce Orchestration® platform your teams can use every day.