Workforce Capital Management: A Category We're Built to Own
Posted: 06/16/26

This week at Connect for Partners in Las Vegas, isolved did something we weren't supposed to do: we leapfrogged the entire field.
We started by making Anthropic our AI partner of choice, unveiling a vision for AI agents the market has never seen, and putting tools in our customers' hands today that meet them where they already are. But that wasn't enough. So we defined an entirely new category. We call it Workforce Capital Management (WCM) — a recognition that the agentic workforce is already here, working alongside your people every day. Every decision we make from here forward happens in service to that new reality.
Let me explain why this is bigger than another AI release, and why I think it changes HCM forever.
Our focus on Anthropic is a strategic act
Most of our competitors are bolting on an AI chatbot and calling it AI. The more advanced among them are busily assembling their own models, chasing the frontier and shipping incremental features one slow release at a time. We made a different decision. We chose to build on Anthropic rather than build our own AI stack, because the math of doing it ourselves never worked — and it will not work for any competitor in the market. We would spend years reaching the frontier only to watch the boundary move again.
Honestly, this is something we have always understood about technology partnerships. It predates me as CEO of isolved, and it's among the many reasons I was drawn to work with this product and engineering team. By focusing on the core of our product and establishing the best possible relationships with partners and integrators, we keep the main thing the main thing and deliver excellence for our customers.
Building on Anthropic means our agents inherit the most capable AI platform in the market on day one — and improve automatically every time Anthropic advances. As the platform underneath gets more capable, so do we. That's a flywheel a build-it-yourself competitor structurally cannot match, and it's why we're no longer playing the same game as Workday or Paycom. They're optimizing last-generation HCM. We're building the next one.
It's also the most secure foundation for payroll and benefits data. Anthropic was founded with AI safety as a core mission. Its commercial terms prohibit training on customer data by default and limit log retention to seven days. Governing AI agents that act on sensitive workforce data demands exactly that safety-first foundation.
So that's the engine. Here's what it lets us do.
HR inside the AI people already use
Your employees already struggle with their tools. They have to find a portal, remember a password and fight the UX just to check a balance or request time off. So we asked a different question: what if the HCM came to them?
The isolved Connector for Claude, available to every isolved customer today, lets employees and managers use natural language inside Claude to reach their HR, payroll and benefits data and complete approved actions. A time-off request made in Claude flows through that employer's normal approval workflow in isolved automatically, without a separate login or toggling between systems.
Our Chief Product Officer, Kelli Rico, put it well:
"A chatbot bolted onto an HCM platform still asks people to come to it. We did the opposite — we put isolved where employees already are. A 100-person manufacturer now gets AI capabilities that used to require a Fortune 500 budget and an IT team to deploy. We build for smaller teams, but their businesses are as complex as any enterprise. With this release, we level the playing field in access to AI for HR."
The connector launches with time-off management and expands across four tiers: retrieving information, completing transactions, surfacing workforce trends and connecting isolved data with the other tools people use at work. It's the human-facing entry point — the first place customers experience isolved meeting them inside the AI they already use. But it's the doorway, not the destination.
Agents that own outcomes
The connector brings isolved to your people. The agents put isolved to work.
This is where we depart from everyone else in this market. Most AI at work exists to make tasks faster by drafting an email, summarizing a document, routing a support call. It's useful, but it's still a game of red-light-green-light: a human still waits for the task to complete, then delivers the outcome. What we need are agents built to own the outcome itself. They don't help an administrator run payroll faster; they run payroll quickly and correctly and notify you when it's done. They don't surface a retention report; they catch the at-risk employee and engage them before they resign.
These autonomous agents operate inside the isolved platform and act on their own — no prompt required, no human kicking off each step — once a human in the loop has onboarded and approved them. The first six each own a specific result:
The Guardian monitors every payroll run in real time, flagging potential errors before it closes to help ensure employees are paid correctly.
The Advisor guides each employee through benefits enrollment based on their individual needs, helping deliver a complete and accurate enrollment every time.
The Signal identifies retention risks early and acts on them before a valued employee resigns.
The Orchestrator runs every onboarding task across connected systems so a new hire is fully ready on day one, with faster starts and higher employee engagement.
The Watchdog tracks regulatory change across the states a client operates in, helping businesses stay ahead of compliance deadlines.
The Helper resolves routine employee HR questions around the clock, delivering answers rather than routing tickets.
The first agents reach customers in 2026. This is more than moving from paper to digital, or building another dashboard. The work gets done, correctly, without someone having to ask.
These six are our own agents — proof that isolved can build AI that owns outcomes. But here's the part that makes WCM a category and not a product line.
Why a new category: AI agents are a workforce, not just software
Cliff Stevenson, Director of Research and Principal Analyst at Sapient Insights Group, framed it brilliantly:
"Humans have been able to do work without AI. Humans don't need AI, but AI absolutely needs humans. And who manages humans? HR does."
Here's the distinction the whole market is missing. Software is deterministic: the same input produces the same output every time, and when it breaks, it breaks the same way. You install it, configure it, and leave it running. A worker is different. A worker makes context-dependent decisions. They're right most of the time and wrong in new and surprising ways. They get better with feedback and coaching, and degrade without oversight. You don't operate a worker — you manage one.
This is a description of how AI agents actually behave. They have autonomy, they exercise judgment, and they are not perfectly predictable. That's why they need to be onboarded, trained, mentored, supervised by a human when their confidence is low, performance-managed, and offboarded when their job is done. The failure mode of an AI agent isn't a software bug. It's an employee problem. And employee problems have an owner: HR.
Consider one scenario almost no one is ready for. Today, when a person leaves your organization, every AI agent they spun up, configured or relied on is suddenly orphaned — still running, still acting, but with no one accountable for it. That's a succession and handoff problem, the kind HR has solved for human workers for a century. Who manages those orphaned agents, the way you manage an org chart today? Right now, for almost every company, the answer is nobody.
There's an even more basic tell that agents are labor, not software: they cost money to put to work. We pay human workers in dollars. We pay agents in tokens. Both are a cost of labor — and like any labor cost, it has to be budgeted, attributed to the right department or cost center, watched for overruns, and reported on. An agent burning through tokens with no one tracking the spend is the same governance gap as an employee logging hours no one approves. Software you buy once and run; a workforce you pay continuously for the work it does. isolved has run the system that budgets, allocates, and accounts for the cost of human labor for four decades. Extending that discipline to the cost of agent labor isn't a leap for us — it's the same muscle, pointed at a new kind of worker.
McKinsey found that 88 percent of organizations use AI in at least one business function, yet nearly two-thirds have not scaled it, most often citing infrastructure complexity and security concerns. That complexity traces back to a single root cause: a fundamental miscategorization of agentic workers as software when they are, in fact, a workforce.
The role the market doesn't have yet
If agents are a workforce, someone has to be accountable for them — and right now, in almost every company, no one is. CIOs own the infrastructure. Department heads own their results. But no single person owns the blended workforce the way a CHRO owns the human one.
I believe that's about to change. Just as the rise of digital threats created the Chief Information Security Officer, and the rise of data created the Chief Data Officer, the rise of the agentic workforce will create a new seat at the table: the Chief Workforce Officer — the executive accountable for how human and AI workers are hired, governed, measured, and retired together, under one set of rules.
Most companies don't have that role today. They will. And when they do, they'll need a platform built for it. That's what we're building.
The system of record for every agent, not just ours
This is the part I most want you to hear, because it's where WCM stops being about isolved's six agents and becomes about your entire business.
Your agentic workforce will not come from one vendor. Some agents you'll buy from isolved. Some you'll buy from your CRM, your help desk, your finance platform. Some your own teams will build. Within a year, most mid-sized companies will be running dozens of agents from a half-dozen sources — and today there is no single place that knows they exist, what they can touch, who's accountable for them, or when to shut them off.
Workforce Capital Management is that place. isolved becomes the system of record for every worker in your business, human or agentic, on one platform, under one set of rules. The same way HCM governs every employee regardless of which manager hired them, WCM governs every agent regardless of which vendor built it. An agent from an outside platform gets an agent record in isolved, reports to an accountable human manager, operates inside set permissions, and is reviewed and offboarded on your terms — even though isolved didn't build it and doesn't run it.
That's the difference between making better AI and owning the category. HR leaders are uniquely positioned to run this. They already own the policies, the access controls, the performance frameworks and the offboarding workflows that agentic workers require. Onboarding, training, mentoring, management, human oversight, performance management and offboarding — that is the employee lifecycle, and it is precisely what isolved already does for human workers every day. No other category of software is built to do this, because no other category was built to manage a workforce. isolved is.
Why no one catches us
Step back and look at the whole picture. The Anthropic partnership gives us an engine that compounds with every advance Anthropic makes. That engine lets us build first-party agents that own outcomes. And those agents are the first to live on a platform built to govern every agent in your business, from any source, under HR's authority.
Each layer reinforces the others. Every advance Anthropic makes accrues directly to our customers' experience. Every agent we add proves the platform works. And every agent you add — ours or anyone's — makes isolved more essential as the place your workforce is managed. That's not a roadmap a competitor can copy by launching a chatbot. It's a compounding lead.
Where we go from here
The isolved Connector for Claude is available now. Go explore it. The first autonomous agents go live in 2026, each owning a defined HR outcome. And ahead lies the full promise: isolved as the system of record and governance layer for the entire blended workforce — human and agentic, built by us or by anyone — managed on one platform, under one set of rules.
The era of AI running inside your business without oversight, governance or accountability is ending. The companies that move now — the ones that put HR in the seat it was always meant to occupy — will manage the workforce of the future on their terms.
That is Workforce Capital Management. That is the category we are defining. And it is the one we were built to own.
Explore the isolved Connector for Claude today! If you’d like to learn more about Workforce Capital Management, reach out to your isolved representative.
Author: Michael Haske
Chief Executive Officer
Related Posts
Modernizing Talent Acquisition Software for the Digital World Class Era
Learn how talent acquisition software simplifies sourcing, enhances the candidate experience and reduces time-to-hire. Explore how modern tools help HR leaders hire smarter and faster.
Read Moreisolved Recognized as a Leader in Unified HCM, AI and Workforce Innovation
Learn more about Nucleus Research naming isolved a Leader in unified HCM. Discover how AI, payroll, and talent tools are driving innovation and solving today’s HR challenges.
Read MoreHR Trends: 7 Strategic Shifts Every HR Leader Should Know
Discover the 7 HR Trends to Watch in 2025 and the top shifts impacting workplaces.
Read More