Peak Ops is PeakQi’s core AI operations platform, combining six modules: AI support, CRM, marketing, quotes, projects and insights. Rollout is modular — start with a single module that catches inquiries, prove it works, then add follow-up, quoting and delivery. Anything the AI cannot judge goes straight to a person. Built for Taiwan SMBs whose customers come in via LINE or the website and whose teams lose hours to repeat replies and copy-pasting.
Left: today, scattered. Right: connected — one inquiry, entered once, readable at every step.
The console is assembled — that's just the start. Next, watch data flow into your daily operations.
Where inquiries enter, where deals stall, what AI takes, what people decide.
"Is the quote ready?" — 3 hours ago
Which row is newer, this or v5?
Still "I'll get to it later"
Reply Mr. Wang!! (3 days ago)
No one knows who replies
The diagnosis is one line —
not a lack of customers, but dropped and unmanaged.
Business is fine. Once customers arrive, the flow breaks in three places.
The problem is rarely the tools. It is the gap between them that nobody covers.
Capture, follow up, nurture — the order we reconnect those three breaks.
See how AI helps →ScenarioA scenario estimate, not an actual figure. Formula: monthly inquiries × drop rate × average order × 12 — to show what missed handoffs can cost. Actual results depend on your volume, close rate, order size and process.
More tools, more gaps —
customers slip right through.
Capture the need · Follow up to move deals forward · Nurture the relationship.
AI answers first, reads the need and books time slots — handing off to a person when it matters. A 2 a.m. inquiry no longer waits until morning.
The CRM centralizes customers and their stages. The system nudges you when it's time; AI drafts the message.
Cases, content, offers and touchpoints in one plan — moving "still thinking" customers toward the order.
Three layers merge — one back office
All three layers land in one back office — you run it from one place.
Run my workflow →Six modules share one customer record. Start with just one; connect more later.
Every customer's stage and owner, at a glance.
From intake to record, owner, quote and follow-up — then back to the console.
Every station lives in one back office — no tool switching, no retyping.
Data comes in, AI sorts it, people approve, results flow back to each module.
Handles common questions; low-confidence or sensitive cases go to a person.
Every style change meant redrawing, re-rendering and rebuilding the deck. Designers spent their time on revisions, not design.
Space renders, style previews and auto proposal decks — one platform.
Dress styles, dates, makeup trials and package questions all piled into LINE. Support answered on repeat, then re-typed everything into forms and group chats.
Dress try-on, hair and makeup previews, scene generation — plus AI intake.
Listing, layout, price and viewing questions scattered across LINE. Agents answered one by one and booked viewings by hand — replies often took hours.
AI answers listing questions and books viewings, integrated with the LINE official account.
Copying, pasting and reminders go to the system; judgment and warmth stay human. Three common approaches, compared.
Actual cost is scoped to your needs and usage. Book a call — we will recommend a plan and quote for your scenario. Product-specific pricing lives on each product site.
Custom track record: the Chiayi Expo official site, brand sites, warehouse monitoring, ticketing, a community app and more — including city-level event sites.
Text usage is included in the monthly fee; image and video are usage-based. We estimate your range before rollout.
Standard usage for chat, copy, reports and analysis is included in the monthly fee; exact allowances and fair use are confirmed per plan.
High-cost generation — scene renders, style previews, short video — is billed by actual usage.
This timeline applies to a Phase-1 launch on standard modules. Custom integrations, data migration, cross-team platforms and special permissions are scoped to your systems; full vertical platforms or large custom builds start around six weeks.
Sign and hand over data
Knowledge base, AI scripts, module setup
Internal testing and simulated chats
Calibration session
Go live
Prove it works before going further. Contract, tuning period and exit terms are explained line by line before signing.
Run it on your own workflow — confirm the flow, data and usage before deciding to roll out.
Phase 1 runs three months; after that, adjust or stop month by month based on real usage.
After launch we tune settings, scripts and flow from real feedback. Refund and termination terms follow the contract, explained line by line before signing.
We set it up; you run your business as usual while the system catches customers in the background. No new software to learn, no workflow to change.
Stored separately and encrypted. Your data does not leave, and it is not used to train anyone else's models.
We calibrate on your real scenarios before launch. When it cannot judge, it hands off to a person instead of guessing.
AI covers the front line — greeting, understanding needs, first-pass filtering. The moment something important comes up, it hands the conversation to you.
Phase 1 on standard modules: as little as 10 working days — sign on Day 0, build Days 1–4, test Days 5–7, calibrate Days 7–10, live on Day 10. Custom integrations, migrations and cross-team platforms are scoped separately; large custom builds start around six weeks.
Standard text usage (chat, copy, reports, SEO analysis) is included in the monthly fee, with allowances confirmed per plan. Image and video (renders, style previews, short video) are pay-per-use.
Yes. Plans stack: A nails intake, B adds follow-up and CRM, C is the full operations platform. Expand later by adding on top.
Yes. LINE official-account integration is a core scenario for us (the real-estate assistant and GroupBuy Go are live examples). Integration scope for your tools is confirmed at the demo.
Bring the flow you drop most often — 15 minutes settles Phase 1.