klink.cloud
K-LINK · Marketing
klink.cloud is an AI-native customer engagement platform by Singapore's K-LINK. Phone, WhatsApp, chat and email land in one inbox, and its Kai AI agent closes routine tickets.
About klink.cloud
What Is klink.cloud
klink.cloud is an AI customer service platform and cloud contact center built by K-LINK, a Singapore company that has sold omnichannel contact center and CPaaS services since 2017. The product does three jobs in one place: it collects every customer conversation into a shared inbox, it answers a share of those conversations with an AI agent named Kai, and it runs the phone line on top of the same system. Support teams stop paying for a helpdesk, a softphone, and a messaging tool separately.
The commercial model is the part worth understanding before anything else. You don't buy seats. You pay $0.20 per conversation that gets resolved, or a flat monthly fee that bundles a volume of them. That means ten agents cost the same as one, which changes the maths for teams that keep part-time or overflow staff. It also means your bill tracks how busy you are, not how many people you hired.
Three limits are worth knowing up front. Kai is only as good as the documentation you feed it, so a messy knowledge base produces confident wrong answers. Per-resolution pricing is hard to forecast in a seasonal business, and the WhatsApp Business API carries a separate $45 charge per number. The deepest enterprise controls, including private deployment and AI fine-tuning, sit behind a custom contract.
Getting Started
- Create an account at app.klink.cloud. No credit card is needed for the first conversation, and the pay-as-you-go plan needs no commitment.
- Connect the channels you already answer on. WhatsApp, Messenger, Instagram, Telegram, LINE, email, live chat, and SMS each take a few minutes, and a channel can be added without rebuilding the others.
- Load your documentation into Kai's knowledge base. Upload help articles, policies, and product pages, then set the tone and the languages the agent should reply in.
- Decide what Kai may do alone. Order lookups and slot bookings run through action APIs; anything involving a refund or a legal question can be routed straight to a person with the transcript attached.
- Invite the team and set routing rules. Assignment by language, VIP status, or keyword replaces the manual triage most teams do in a spreadsheet.
- Watch the first week of reports before changing anything. First response time and resolution time show where the queue actually breaks.
Product Information
A quick look at klink.cloud's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- Support leads at 5 to 50 agent teams
- Online sellers in Southeast Asia
- Founders running a lean support function
Tasks
- Consolidating messaging channels into a single inbox
- Deflecting order status and returns questions
- Running inbound sales calls
- Measuring service levels without exports
Scenarios
- A cross-border retailer covering six markets
- A clinic or service business booking appointments
- Night and weekend coverage
Key features
Unified Inbox Across 15 Channels
Every channel lands in the same thread, including WhatsApp, Facebook Messenger and comments, Instagram, Telegram, LINE, Viber, email, SMS, live chat, Lazada, and Shopee. The customer's history follows them across channels, so a buyer who starts on Instagram and calls an hour later doesn't repeat the story. Routing handles the sorting: by language, VIP tag, keyword, or business hours.
Kai AI Agent That Takes Actions
Kai is an AI agent for customer support that answers from your own documentation and then does something with the answer. It can check an order, book a slot, or update a record through action APIs instead of dropping a link and hoping. When a request falls outside its remit, it hands over with the full transcript, and the human sees what the customer already said. The vendor claims it resolves about 80% of conversations without an agent, a figure that depends heavily on how repetitive your queue is.
Cloud Telephony With Numbers or Your Own Carrier
You can provision virtual numbers in more than 100 countries, or connect an existing SIP trunk and keep your current carrier. Calls are recorded, transcribed, and searchable next to the chats, which is the practical difference between this cloud phone system and running a separate softphone. Concurrent call limits and number availability vary by market, so check the country list before planning a rollout.
Workflow Automation and Multi-Level SLAs
Automation covers the boring decisions: route by keyword, set different business hours per team, escalate when a case ages past a threshold, and apply different SLA rules to different customer tiers. Setup is rule-based rather than code-based, which means a support manager can change it on a Friday without a developer. The trade-off is that complex branching logic eventually hits the limits of a rule builder.
Analytics Without Spreadsheets
Dashboards track first response time, handle time, resolution time, SLA breaches, CSAT, and sentiment across all channels at once. Business-hours-aware reporting matters more than it sounds, because a queue measured on a 24-hour clock looks worse than it is. The vendor reports a 13 second median first response and 5x more conversations per agent for its customer base, numbers that come from its own deployments.
Action APIs, MCP Tools, and CRM Integrations
The Growth plan opens action APIs, MCP tools, webhooks, and custom integrations, so Kai can reach your order system, billing platform, or booking calendar. Native connectors cover Salesforce, HubSpot, and SAP, and a custom API path handles the internal tool nobody sells a connector for. Without that layer, an AI agent can only talk. With it, the agent can finish the job.
Pros and cons
Pros
- Pricing per resolved conversation removes seat licences entirely, so staffing up for a peak week costs nothing extra in software.
- The channel list matches how Southeast Asian buyers actually message, with LINE, Lazada, Shopee, and WhatsApp treated as first-class rather than add-ons.
- Voice and messaging share one system, so a call recording and a chat transcript end up on the same case without an integration project.
- Kai is grounded in your own documentation and can act through APIs, which is a real step past chatbots that only retrieve articles.
- Setup is quick enough to test on one channel. A small team can judge the product in a week rather than a quarter.
Cons
- Per-resolution billing makes budgeting harder in seasonal businesses. A quiet month is cheap, a launch week is not, and you can't cap it as easily as a seat count.
- Answer quality is tied to your knowledge base. If your help centre is outdated, Kai will repeat those mistakes with more confidence than a new hire would.
- WhatsApp Business API conversations carry an extra $45 per number on top of the plan, and SMS is sold as an add-on on the lower tier.
- Enterprise requirements such as private cloud deployment and AI fine-tuning need a custom contract, so the published prices only describe the smaller end of the market.
Frequently asked questions
It replaces the mix of helpdesk, messaging tool, and softphone that support teams usually run. Customer conversations from phone, WhatsApp, social messaging, email, and live chat arrive in one inbox, an AI agent handles the repetitive ones, and the rest go to a person with the full history attached.
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