Keep the support inbox moving without pulling managers into every repeat question.

CapacityBench helps keep support moving by sorting repeat questions, preparing useful replies, surfacing missing details, and bringing sensitive cases back to the team.

Check this workflow Take readiness assessment

First AI Employee starts from $2,000/month. Start with one recurring job, prove value, then add more.

What changes

The routine work gets handled. Your team gets the clean handoff.

This page is the simple version: what comes off the team's plate, what they get back, and where people still make the calls that matter.

Work taken off the team

Sorts new support messages
Uses your existing answers
Prepares suggested answers
Ask for missing information
Keeps the queue organized

What the team gets back

Prepared replies
Tagged tickets
Clean handoff notes
Weekly support themes

People stay involved for

Refund approval
Angry customers
Legal, safety or compliance issues
Policy exceptions
VIP accounts

Not the right first workflow if

There is no policy or example answer base
Most tickets require legal, safety or emotional judgment
No one owns escalations
The team expects the AI to invent policy

Why it is safe to start small

Start with the repeatable work. Keep judgment with people.

The first version is deliberately narrow. It clears routine follow-up, prepares clean summaries, and brings the judgment calls back to the right person.

Escalation qualityRepeat-question volumeTickets tagged correctlyWeekly support themes captured

First 30 days

A practical start, not a transformation project.

We start with the smallest useful version, prove whether it moves the work, and only expand when the first role is earning its keep.

Week 1

Define support boundaries

Map ticket types, policy sources, escalation owners, forbidden actions and response quality examples.

Week 2

Start with sorting and suggested replies

Run ticket classification and response drafting with human review on every customer-facing reply.

Week 3

Move routine tickets faster

Allow low-risk tagging, missing-info requests and escalation notes while monitoring confidence and exceptions.

Week 4

Improve the support rhythm

Report response time, repeated questions, unresolved first touches and knowledge-base gaps.

Example result

Ticket tagged: billing/refund. Drafted response from refund policy. Missing order number requested. Escalated because customer mentioned chargeback. Owner: Support lead. Next check scheduled for 3 PM.

What good looks like

First response time
Support messages are sorted more consistently
Exceptions come with clearer context
Knowledge gaps found and fixed

What can come next

Order status updates
Returns and refunds
Review and reputation
Customer onboarding updates

Check this workflow

Send the rough version. We will tell you if this is the right first AI employee.

Use this when the work shows up every week, has a clear owner, and is costing the team time.