An AI customer service agent that answers from your own docs
Most customer questions are the same ten questions, asked at all hours. An AI customer service agent answers them instantly — from your policies, your product data, your actual business — and hands the judgment calls to your team with the whole thread attached.
The short answer
An AI customer service agent resolves common customer questions automatically using your own documentation, policies, and systems — and escalates anything it cannot resolve to a human with the full conversation attached.
Agents by AIQ designs, builds, and runs it for you: trained on your docs, connected to your help desk and CRM, live in weeks.
What an AI support agent actually handles
It answers the questions your team already answers on autopilot: order status, hours, policies, how something works, what happens next. Because it answers from your own documentation and systems, it says what your best agent would say — not a generic script. And it does it at 2 a.m. with the same patience it had at noon.
When a question needs judgment — an angry customer, an edge case, a refund beyond policy — it stops and escalates. Your team gets the full conversation, a short summary, and the customer’s account details up front, so the handoff takes seconds instead of a fresh start.
- Answers order status, policy, and how-to questions instantly, from your own docs
- Looks up the customer’s account and order details before it answers
- Handles website chat, email, and SMS with the same training
- Escalates the hard cases to a human with a summary and the full thread
- Logs every conversation to your help desk or CRM, tagged and searchable
AI customer support agent vs. the chat widget you have now
Most sites run a widget with five canned answers and a contact form. A customer types a real question, the widget misses, and the question lands in your inbox anyway — with the customer now twice as annoyed. An AI customer support agent is built differently: it retrieves answers from your actual documentation, policies, and product data, and takes action in your systems when an answer requires one.
The difference is not intelligence for its own sake; it is outcomes. A widget deflects tickets. An agent closes them — and when it cannot, it hands a complete case to a person. That is what turns website chat from a dead end into the fastest route to a resolution.
Escalation with full context — the part that matters most
The real test of a support agent is not what it answers; it is what it does when it should not answer. Ours escalates the moment a conversation needs judgment, authority it has not been given, or a human relationship. No loops, no “sorry, I did not understand,” and no making the customer retell the story from the top.
Every handoff arrives complete: the transcript, a two-line summary, the account, the order, the tone. Your team picks up mid-sentence. Customers feel that — not because the AI is clever, but because the system was designed around the handoff rather than around deflecting them.
Trained on your business, connected to your stack
We start with what you already have: your help center, your SOPs, your past tickets, and the pricing you approve for quoting. We turn that into a knowledge base the agent answers from — anything unpublished stays unpublished. You review the answers before launch, the same way you would train a new hire.
Then we wire the agent into your help desk, CRM, and store — the tools you already run — and keep monitoring it after launch. Each month you get a plain-English report of what customers actually asked and what we tuned, so coverage gets sharper with every real question.
- Knowledge base built from your docs, policies, and approved pricing
- Connected to your help desk, CRM, and ecommerce platform
- You approve every answer at launch — nothing goes live unreviewed
- Monthly tuning based on real customer questions
- Full transcript and summary on every conversation
Common questions
No. It answers from the knowledge base you approve, and when the answer is not in there, it says so and escalates. We would rather send you one more email than have the agent invent a policy.
Yes, within limits you set. Read-only lookups come first; actions like updates, refunds, or cancellations are scoped, rule-bound, and logged. You decide which actions are automatic and which require a human click.
It stays polite, acknowledges the problem, and escalates quickly — the opposite of a bot arguing in circles. The human who picks up gets the transcript and the context, so the apology starts immediately.
In most cases, yes — we integrate with the major help desks and CRMs, and we scope yours on the first call. If a system has no API, we design a path around it, such as email-based handoffs.
Most builds go live in two to four weeks: a scoping call, a week or two to train and connect, a few days for your team to review answers, then launch with monitoring in place.
A flat build quote plus a flat monthly run fee — no per-ticket or per-seat surprises. We scope it on the first call, and you get the quote in writing before any work starts.
Ready to stop answering the same ten questions by hand? Book a call.
Book a 30-minute call — we sketch the agent on the call, and you keep the sketch either way.