Planning has evolved, from headcount to outcomes.
SignalWorkOS optimizes workforce planning for the enterprise. From the desired outcome, the platform recommends the right mix of people and agents to deliver, and prices the plan before you commit to it.
Mission: close a shortfall in advisory capacity at a regional bank.
Twenty new hires to close the shortfall, at a modeled cost of $938,000.
Modeled outcome from the Signal Labs Future of Work scenario.
Numbers tell the story
A chief revenue officer avoided $10.1M in regulatory exposure in under an hour, from signal to committed decision.
Reduced cycle time on recurring decisions.
Fewer overconfident recommendations: from about 18% of decisions to under 1% across 1,000 simulated trials.
Enterprises that can tie AI spending to a significant earnings impact.
HR professionals who brought back roles from AI-related job cuts within six months.
Senior finance leaders who spend fifteen hours a week or more checking what their AI produced.
Five steps from an approved project to a measured result.
Click a step to see the screen behind it.
Values from the SignalWorkOS design prototype
Most enterprises can tell you how many AI agents they have deployed. Ask who owns the outcome of any one of them and the room goes quiet. We're able to provide leaders the cost of an outcome, and show where every hour and every token in it went.
One ledger for people and AI agents.
Today, salaries show up in payroll and agent usage shows up on a cloud bill, so nobody can say what an outcome cost or who owned it.
SignalWorkOS records hours and tokens in their own units and rolls both into one Mission view, with the plan, the approval, the permit, and the result attached. When a Mission closes, a leader can see what it cost, who delivered it, and whether it worked.
People
Human effort, in hours
AI agents
Digital usage, in tokens
Mission 04 · ledger
One budget, one accountable owner
- Plan approvedProvider Ops
- Permit issuedSL-DIGI-0247
- Quality vs floor98.4% / 98%
A named person stays accountable for every plan, permit, and budget.
Security and an audit trail
Tenant isolation, identity, encryption, logging, role-based access, and audit controls ship with the release. Every planning weight, decision, agent audition, and approval keeps its provenance, nobody can delete history, and corrections are recorded as adjustments.
Fits the systems you run
The release reads a portfolio from your PPM or a spreadsheet, plus one operational source you configure. Your PPM, HR, procurement, and finance systems stay as they are. An approved plan reaches your applicant tracking system as a structured hiring request, and fill rate reports back.
Agents work within limits
Agents come only from a catalog your administrators approve. Digital work starts only with a matching Mission, an approved plan, a sponsor, a permit, and a budget guardrail, and no agent can buy anything on its own.
Frequently asked questions
What HR, finance, and IT leaders ask on the first call.
What is a Mission?
A Mission is the bounded outcome your company authorizes the workforce to deliver, carrying a named owner, a budget, a service level, and the evidence that counts as done. Headcount tells you how many people you approved, and it never tells you what you approved them to achieve. A project funds change; a Mission contracts for a result.
How does it decide whether a job goes to a person or an AI agent?
Every job in a Mission is rated on eight criteria, among them judgment, empathy, accountability, and what an error would cost, before anyone looks at capacity. Staffing last is the point, because deciding the mix first is how companies end up automating the wrong work. You then see human-led, agent-first, and blended plans priced side by side, and departing from the recommendation is allowed as long as you record why.
Who approves an agent's work?
A named person does. Every Mission and plan has one accountable approver, every permit names a sponsor who can revoke it, and any material change to scope, agent version, data, or economics voids that permit until a person signs it again. Accountability that travels with the work is what lets a leader answer for an agent in a board review.
How is spend tracked?
Human effort stays in hours and agent usage stays in tokens, and both roll into one Mission view showing what was planned, consumed, adjusted, and left. Native units keep finance able to audit each side, while a leader still sees one number for the outcome. Corrections create adjustment events rather than overwriting the original, so the record holds up a year later.
Does it replace our planning, HR, or finance systems?
It leaves them alone. SignalWorkOS reads the funded portfolio, defines the Missions inside it, and hands the human portion of each plan to your applicant tracking system as a hiring request. Rip-and-replace is what kills workforce projects, so requisitions, candidates, payroll, and capital governance stay exactly where your teams already work.
What ships on October 6, and what comes later?
October 6 proves one complete governed loop, from a planning frame through to an accepted outcome, configured for selected design-partner portfolios. Proving one loop end to end beats shipping a broad release nobody can audit. Continuous portfolio rebalancing, open agent marketplaces, robotic capacity, and payroll posting arrive in later releases.
Who uses it?
Portfolio leaders set the planning frame and record funding decisions, and Mission owners turn that funded intent into Missions and accept the results. Workforce leads design the jobs and choose the plan, with HR partners validating the human options, while governance and FinOps leads define work authority and watch usage and cost. They all work from one record, which is how the argument stops being a fight between spreadsheets.
How is it priced?
Enterprise pricing is custom, and a request reaches a member of the Signal Labs team rather than a checkout page, because scope depends on how your portfolio and approvals already work. Design partners receive free access through their next renewal in exchange for a proof-of-ROI case study.
See one initiative from your 2027 plan priced in people and AI agents.
Bring an outcome you are planning for next year and we show how each job rates, what the Mission costs as a human-led plan and as an agent-first plan, and what the permit and the ledger would record.
- Your initiative scored on the eight job criteria, judgment and error consequence included.
- Two priced plans on one budget, human-led and agent-first, with the oversight each keeps.
- The permit and the ledger entry an approved plan would produce.
Enterprise pricing is custom. Design partners receive free access through their next renewal in exchange for a proof-of-ROI case study; mention it in the form if you want to be considered.