How AI Helps Customer Service Representatives
Support teams answer the same questions repeatedly and new agents take months to get fast. 12² builds an agent-assist layer on the existing helpdesk: knowledge base clean-up, answer suggestions grounded in company docs, routing rules, and a review dashboard. Optional customer-facing bot only after accuracy is checked.
Customer Support Answer Desk · From $3,500 + $349/mo, by team size · proposed estimate · It says it is an automated assistant whenever it talks to someone directly, and your team reviews what it drafts before it goes out.
Ai for customer service reps: the short answer.
AI can help customer service reps by suggesting answers from the help center and past tickets, drafting replies for approval, summarizing long tickets and routing new ones. A study of 5,000+ support agents found an AI assistant raised issues resolved per hour by about 14%, with the biggest gains for newer agents.
Sources
- RCT/field study: AI assistant raised customer-support issues resolved per hour 14-15% (Brynjolfsson, Li, Raymond, QJE 2025)nber.org
- Intercom Fin AI Agent priced at $0.99 per resolved outcome; helpdesk seats listed from $19-$29/seat/mointercom.com
- Smith.ai receptionist plans list $300/mo for 30 calls and $810/mo for 90 callssmith.ai
Where the hours go now.
Answers to agents
Support teams answer the same questions repeatedly and new agents take months to get fast.
Drafting replies
Written up by hand, one at a time, after the real work is done.
Long tickets and hand-offs
Hours go to reading and re-reading before the real work starts.
What it handles, and what it never does.
What it handles
- Answers to agentsIt suggests answers to agents from the help center and past tickets.
- Drafting repliesIt drafts replies for agent approval.
- Long tickets and hand-offsIt summarizes long tickets and hand-offs.
- Tagging and routing incoming ticketsIt tags and routes incoming tickets.
- Hand-off to your teamAnything that needs a person goes to the right person, with the details attached.
What it never does
- Make up a price or a factIt works only from the documents, records and price lists you give it. Anything it can't find goes to your team.
- Promise a resultQuestions about outcomes go to the person who does the work.
- Pretend to be a personIt says it is an automated assistant whenever it talks to someone directly.
- Send anything on its ownDrafts wait for your team's approval before anything goes out.
Built and tested on your own work.
Before handoff, we run your build on your own real examples and fix anything that misses.
- Tested on your own workBefore handoff, we run your build on your own real examples and fix anything that misses.
- Retainer, then balance on deliveryRetainer up front. Work starts once the retainer is paid; the balance is due on delivery when the agreed test cases pass.
- Fixed price, scope and timelineAll three in writing before work starts. The timeline is set in your quote.
- What 12² buildsAn agent-assist layer on the existing helpdesk: knowledge base clean-up, answer suggestions grounded in company docs, routing rules, and a review dashboard. Optional customer-facing bot only after accuracy is checked.
- How it connectsWe confirm how it connects to the tools you already use on the first call and write it into your quote.
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See also: all industry packages · pricing
From $3,500 + $349/moSetup + monthly, by size. The monthly fee covers monitoring, fixes and re-tests for your package as your templates, documents and staff change. AI and software usage is billed at cost. Proposed starting estimates by team size, not fixed prices; the final price is in a written quote.
- Small: Small team (1-5 support agents)From $3,500 + $349/mo. The core build for 1-5 support agents: an agent-assist layer on the existing helpdesk: knowledge base clean-up, answer suggestions grounded in company docs, routing rules, and a review dashboard. Optional customer-facing bot only after accuracy is checked. Proposed estimate. Small tier is about the size of a 12squared.ai Proof build; monthly covers hosting, monitoring and fixes.
- Mid-size: Mid team (6-25 agents)From $8,500 + $750/mo. Everything in Small team, for more users, inboxes and calendars, with hand-off rules set for each role. Proposed estimate. Mid tier is about the size of a Core build (more users, more integrations).
- Enterprise: Large / enterprise (25+ agents or multiple brands)From $20,000, custom quote. Everything in Mid team, across locations or departments, with system integrations and a security review scoped in your custom quote. Proposed estimate. Starts near the Product build range; scope, integrations and security review set the final number. No cap.
- Retainer up front Work starts once the retainer is paid; the balance is due on delivery when the agreed test cases pass. Scope, price and timeline are agreed in writing before work starts.
- You own itThe accounts, scripts, templates and data sit in your name. You can leave at any time.
- Compliance and dataConsumer privacy laws; PCI if payment data appears in tickets (redact). TCPA if outbound calls/texts are added.
Straight answers.
Why not just buy an AI agent like Intercom Fin?
If your helpdesk already offers one at a fair per-resolution price, use it. We build when your answers live in scattered docs, multiple systems, or need custom rules.
How does payment work?
Retainer up front. Work starts once the retainer is paid; the balance is due on delivery when the agreed test cases pass.
How long does it take?
Timelines are set per project in the quote, after we see your systems and volume.
Are these prices final?
No. They are proposed starting estimates. You get a written custom quote after a short scoping call.
Tell us how you handle answers to agents now.
A few lines is enough. If it's a fit we'll say so, and if it isn't we'll tell you why.
- A real replyWritten for you by 12², within one business day. Never an autoresponder.
- A free 20-minute callHow the work runs now, what gets missed, and what your team needs from it.
- A fixed quoteYour size, scope, date and price in writing before any work starts.
Prefer email? Write to [email protected]
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