Capacity-as-a-service for busy teams

Get your first AI employee set up.

CapacityBench sets up and manages AI employees that take repetitive work off your team’s plate, starting from $2,000/month.

One starting employee. One real business process. Managed setup, oversight, and improvement included.

Support Ops AI EmployeeManaged weekly

Handles routine work. Escalates judgment calls.

Designed around your work, tone, tools, rules, and escalation policy.

24/7coverage
$2kstarting monthly
0new headcount
Classify inbound requestdone
Draft reply from policyreviewed
Escalate edge casehuman
First employeeStart with one useful AI worker.
Human-managedOversight, escalation, and improvement included.
Tool-awareWorks around the systems your team already uses.
Simple pricingStarts from $2,000/month.
Interactive chooser

What can an AI employee do?

Pick the area where repetitive work is hurting. Get a practical fit score, setup read, oversight boundary, and the first AI employee worth setting up.

Support Ops AI Employee

Clear routine support work before it reaches the team.

Queue volume is up, first response is slow, and good support people are stuck sorting repeat requests.

AI employee fit score92
Strong first employee
SetupLow-medium
OversightHuman review for exceptions
Capacity upside10-20 hours/week per busy queue
ConfidenceHigh
Work the AI employee can handle
  • Classify tickets by topic, urgency, customer type, and likely owner
  • Draft first replies from approved policy, help docs, and account context
  • Pull order, subscription, or account details into the response
  • Route exceptions with a clean summary for the human owner
  • Create a daily queue report showing repeats, blockers, and misses
What stays human
  • Refund approvals
  • Angry or sensitive customers
  • Policy exceptions
  • New issues with no approved answer
Faster first response
Fewer manual touches
Cleaner escalation notes
Repeat issues visible every week
First KPI to watchFirst-response time + manual touches per ticket
Best first stepStart with one queue category that appears every day.

Your team is paying a capacity tax.

If your inbox, support queue, or operations workflow depends on humans doing the same tasks all day, you are paying with slow response, inconsistent handoffs, higher cost, and burned-out people.

Volume grows faster than headcount.Hiring another coordinator is expensive, slow, and often unnecessary.
Repetition eats senior attention.Your best people become routers, chasers, and copy-pasters.
Manual handling creates misses.Slow follow-up, dropped tasks, and inconsistent answers leak revenue and trust.
AI tools still need operators.Buying software does not create capacity unless someone owns the workflow.

We replace manual repetition with managed execution.

CapacityBench identifies the first job worth handing off, sets up the AI employee, and manages performance over time. You keep the business logic. We handle the labor layer.

Find

Point us at the repetitive work. We identify the first AI employee worth setting up.

Set up

We connect the work, rules, tools, and escalation path so the employee can operate safely.

Manage

We monitor, improve, report, and expand only when the first employee earns trust.

Built for the work that breaks teams first.

Start where repetition, volume, and response speed matter. The best first AI employee handles a defined job, not a vague transformation agenda.

Use case

Support inbox ops

Classify, route, answer, and escalate common requests before your team gets buried.

  • Ticket triage
  • FAQ response
  • Status updates
Use case

Inbound qualification

Respond fast, capture context, qualify opportunities, and hand off cleanly.

  • Lead intake
  • Follow-up
  • Meeting prep
Use case

Back-office operations

Move routine admin, updates, data entry, and document chasing off human plates.

  • AP/AR prompts
  • CRM updates
  • Process checks

Not software. Not staffing. Managed capacity.

Software

You buy another dashboard, configure it, train the team, and hope usage sticks.

Staffing

You add headcount for repeatable work, then spend weeks hiring, training, and managing.

CapacityBench

You get your first AI employee set up and managed, with ongoing oversight and improvement.

Governance

Built for real operations, not demos.

AI employees need boundaries. Every CapacityBench setup starts with rules, escalation paths, quality checks, and reporting.

What you get back

  • More work completed by the same team
  • Faster response and shorter cycle times
  • Lower cost per repetitive task
  • Better consistency and fewer misses
  • More human time for customers, judgment, and revenue
First step

Start with your first AI employee.

From $2,000/month, we’ll set up and manage one AI employee for repetitive work your team should not be doing by hand.

“Capacity is the product. AI is just how the work gets done.”

From $2,000/month

Get your first AI employee set up.

Tell us where repetitive work is eating capacity. We’ll recommend the first AI employee worth building.

Questions buyers ask before they trust an AI employee.

Is this just a chatbot?

No. CapacityBench is a managed AI employee service. We set up AI employees to execute defined repetitive work, with oversight, escalation, and performance management.

Will this replace our team?

It replaces repetitive tasks, not the team. Your people stay focused on judgment, exceptions, customers, and revenue.

How is this different from automation software?

Software gives you tools to manage. CapacityBench gives you managed outcomes. We own setup, deployment, monitoring, and improvement.

What if our process is messy?

That is normal. We help pick the first bounded job an AI employee can safely handle, then improve from there.

How do you control quality?

Defined workflow rules, human escalation, controlled rollout, monitoring, and weekly improvement. The system is managed, not left to drift.

Get your first AI employee set up.

Start with one real business process, one measurable outcome, and managed execution from $2,000/month.

Find your first AI employee