A CEO stands in front of the leadership team and delivers the mandate: Get everyone AI-ready.
Heads nod. An email goes out. Then the real work starts: A talent leader has to define what “AI-ready” actually means for this business. Managers try to figure out who on their team is already capable and who isn’t. L&D gets handed the job of building the actual programs, but no L&D team actually knows everything about AI either, nor are they able to build something custom for every team or job role. At least not fast enough.
And AI isn’t the only mandate moving this fast. Swap “AI-ready” for whatever your business is chasing right now: an org restructure, a compliance update, a leadership reset. In each case, the business priority is clear, but the people aren’t caught up, and the old way to catch them up won’t work anymore.
We call it the readiness gap, which is the distance between an organization knowing the change it needs and a workforce actually equipped to deliver on it. Most workforce development systems weren’t built to close this gap.
Readiness Is Manual
Filling the readiness gap involves four unique tasks that have historically run separately and manually.
- Understand. To get started, organizations need to understand their skill gaps, change readiness, and friction. i4cp research found that 90% of organizations don’t have the data to know if they have the right skills. Today, skill gaps get mapped through point-in-time surveys, spreadsheets, and one-off assessments. By the time results are analyzed, the business need has likely already shifted.
- Develop. Next, organizations close skill gaps through personalized development. But building a targeted program means a designer sitting down with one business leader at a time, and that doesn’t scale. Too many employees get something generic, or nothing.
- Measure. You need to know if your workforce is actually making progress by measuring skill growth, confidence, engagement, and knowledge retention. Today, most organizations only measure completions, and reports are pulled by hand across multiple systems, making it difficult to actually evaluate progress.
- Adapt. Deloitte found that 85% of leaders say building adaptability is critical, but only 7% say they’re actually succeeding at it. When priorities change today, the response is manual, and the workforce can’t adapt before the next change is already underfoot.
Run Those Four Jobs in One Connected System
With Degreed.AI, those four jobs start running as one connected system that meets people wherever they already work: inside Degreed or whatever LLM your workforce uses every day.
Agents understand, develop, measure, and adapt based on a shared skills context, and every interaction sharpens the one after it. Here’s what those roles look like when they are handled by agents:
Understand. Live skill, role, performance signals, and context get pulled together automatically as intelligence. Now you can point budget and programs at the gaps that matter most.
Develop. Targeted programs get drafted and built for every business line when they’re needed, not just the few a single designer has time for.
Measure. Agents track what people are capable of so you know whether your organization is moving fast enough toward its goals.
Adapt. Shifting business priorities surface automatically, and recommendations adjust in real time.
Every recommendation and action stays inside a governed, permissioned system, so speed doesn’t come at the cost of control.
How AI Agents Manage Real Challenges
Here’s how Degreed agents operate to close specific pieces of the readiness gap:
- Manager-led development. A manager describes what their team needs in plain language and gets back a targeted plan, no instructional design background required.
- Program building at scale. Agents handle the discovery and drafting behind plans and pathways, so L&D can run targeted programs across the whole organization.
- Content quality checks. Agents review existing pathways against your own design standards and flag what needs a refresh, which saves hours of manual review.
Through this, when a skill gap shows up—whether that’s a new hire or a sudden shift in what a role needs—an agent can act on it right away, and development starts in the same conversation instead of waiting for someone to notice it and staff a fix.
And in terms of staffing, each employee’s time goes farther. One L&D partner used to mean one team’s worth of coverage. Now that same person can support requests across dozens of teams at once. Leaders who used to get a generic off-the-shelf pathway get something built around their actual gap instead. Even managers get the same reach where they can build a plan for their own team without waiting in a queue.
None of this works if people don’t trust the output, so the system is built to earn it. Skill data gets sharper with every conversation instead of aging between annual surveys, and a person, not the agent, still decides what actually gets assigned. There’s always a human in the loop and it’s all consolidated through one governed layer.
This Is Just the Beginning
These first agents take on three parts of closing the readiness gap by developing teams with their managers, scaling program building, and keeping content current. As we develop more agents, they’ll use skill intelligence to take on more of the work directly, moving faster and covering more ground so you can close the distance between an exec’s mandate and workforce capabilities.
The readiness gap only closes when the system powering the workforce can translate a business priority into action on its own.
That’s development that shows up before your people ask, and answers the moment they do.
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