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Assign Recruiters Before the Target Start Date Slips

Key Highlights

Every Unassigned Req Is a Start Date at Risk

Virginia opens the demo with the reality inside most TA orgs: 16 open reqs, target start dates inside 90 days, no recruiter attached. That is not a data problem. It is an authorization gap. Every day a req sits unassigned, the plan slips and the target start date moves further out of reach.

Capacity Recommendations, Grounded in Actual Recruiter History

TeamOhana Computer looks across every active recruiter, cross-references what they have hired before, and weighs their current req load. The output is not a spreadsheet. It is a defensible assignment recommendation tied to specialization and workload, ready to act on.

Recommendation to Executed Assignment, in One Confirmation

Computer presents the assignments as a dry run, waits for approval, then executes. Every action is written back to the change history with a clear log showing it came from the agent. Governance is not a checkbox. It is built into the workflow.

TA leaders are being asked to fill more roles with the same team, and the manual work of balancing reqs across recruiters is where the plan quietly falls apart. In this session, Virginia Hyland, Head of Solutions Engineering at TeamOhana, walks through how TeamOhana Computer moves recruiter assignment from a weekly spreadsheet exercise to a decision made in Slack, in seconds, with a governed audit trail behind it. Watch a live workflow that surfaces unassigned reqs, analyzes recruiter capacity and specialization, recommends assignments, and executes them with approval, all in one conversation.

What you’ll learn

How to surface every open req with a target start date inside 90 days and no recruiter assigned, in one prompt
How TeamOhana Computer weighs recruiter specialization and current req load to recommend assignments
How the dry-run and approval step keeps recruiters, TA leaders, and Finance aligned before any action is executed
How every action taken by Computer is logged in change history, separated from manual updates
Where TeamOhana Computer fits inside a broader capacity planning motion, including customer-owned capacity models

Takeaway #1: Unassigned Reqs Are the Silent Killer of Hiring Plans

Every open req without a recruiter is a plan slippage waiting to be discovered. TA ops leaders spend hours each week reconciling who is working on what, then chasing recruiters to pick up the reqs that fell through. By the time the gap is caught, the target start date has already moved, the hiring manager is escalating, and Finance is questioning the forecast. TeamOhana Computer flags these reqs the moment they appear, before they become variance.

Takeaway #2: Recruiter Assignment Is a Capacity Decision, Not a Round Robin

Most TA orgs assign reqs based on who has bandwidth this week, not who has the specialization and history to close the role fastest. That is how backfills stall, specialized reqs get handed off twice, and time-to-fill inflates. TeamOhana Computer analyzes each recruiter's historical hiring pattern and current workload, then recommends the assignment that matches the role to the recruiter most likely to close it on time.

Takeaway #3: Governance Is Not a Trade-Off for Speed

AI agents that take action without approval are a compliance problem waiting to happen. Recruiter assignments touch access, workload, and compensation exposure. TeamOhana Computer shows the recommended action, waits for explicit approval, executes, and logs the change with clear attribution to the agent. TA leaders get speed without giving up control.

Takeaway #4: The Same Workflow Scales From Daily Assignment to Long-Term Capacity Planning

Assigning recruiters is the first move. The next is knowing whether you have enough recruiter capacity to hit next quarter's plan at all. TeamOhana Computer handles both. Drop your own capacity model into Computer and it will apply your allocation logic against live headcount data, so recruiting leaders get answers built on your assumptions, not a vendor's defaults.

"TeamOhana Computer is a digital coworker that answers questions in Slack, builds interactive dashboards, and takes actions on your behalf. Every action goes through a dry run and approval, and every change is logged in change history, so you can always see when an action was taken by the agent versus directly in the app."— Virginia Hyland, Head of Solutions Engineering, TeamOhana

Frequently asked questions

TeamOhana Computer is a digital coworker built on top of your live TeamOhana data. It answers questions, builds interactive reports, and takes actions on your behalf, in Slack or directly in the TeamOhana surface. It is not a chatbot. It is a workforce agent you assign work to, the way you would assign work to a teammate.

Computer looks at every active recruiter in your workspace, analyzes the types of roles each one has hired in the past, and weighs their current req load. It uses that combination of specialization and capacity to recommend the recruiter most likely to close the role on time.

No. Every action Computer takes is preceded by a dry run that shows exactly what it will change. Nothing is executed until you approve it. After execution, the change is logged in your change history and tagged as taken via TeamOhana Computer, so audit trails stay clear.

Your ATS routes candidates. It does not know your approved hiring plan, your target start dates against forecast, or your recruiter workload against the reqs that have not yet been opened. TeamOhana Computer works from the headcount plan Finance, HR, and Talent already agreed on, which is why the assignments hold up when the plan changes.

Yes. Upload your capacity model as an Excel or document file and Computer will apply your allocation logic against live TeamOhana data. Recruiting leads can then ask questions like "do we have enough capacity to hit our goals" and get an answer built on your assumptions, refreshed automatically.