See it run

Customer Success OS: A Guided Demo.

This is a guided demo of Customer Success OS, and the one idea it rests on comes first.

Customer success6 min watchWalkthrough

In this video.

A guided demo of Customer Success OS: an AI control plane above Zoho Desk, Zoho CRM and the knowledge base. Every ticket starts from knowledge, triage carries the promise, escalation is predicted before the breach, and renewal risk is seen before the account leaves.

What this covers.

  • Knowledge first: the article is found or drafted while the agent solves
  • Triage and escalation carry the promise from the account
  • Renewal risk is visible before the account leaves
Read the full video transcript.

This is a guided demo of Customer Success OS, and the one idea it rests on comes first. Customer Success OS is an AI control plane above Zoho Desk, Zoho CRM and the knowledge base. It reads all three, decides against your operating model, and acts through their own APIs. The agent talks to it in a pane on the ticket screen, or in Cliq or Slack. It acts. A person approves what a person should: what is published to customers, what changes a commitment, what goes to engineering. Talk or click on the same screen: the pane knows the ticket you are on.

Everything on screen is a mock-up of the solution with sample data, drawn as our own screens in our brand rather than the Zoho interface, with the chat thread on the left and the system it moved on the right. First move. A customer writes in, and the agent asks the plane. Every interaction starts the same way. The agent types what the customer said. Here: customer says exports fail after the update. The plane searches the articles and the resolved tickets and answers in the thread. Two articles match, at point nine one and point six two.

The first: clear the cache and re-run. Used fourteen times, helped twelve. The reply is drafted in your voice. Send? The agent reads it and types a one. That is the whole action. On the right, Desk moves. The reply goes out on the ticket, the article is linked to it, the reuse count ticks up, and the ticket closes. Nobody opened the knowledge base. Knowledge-centered service says solve from knowledge and record that you did. The control plane makes that the default, because the fastest path for the agent is now also the right one.

Every action is logged with who approved it: the one, the agent, the time. Sometimes nothing matches. The agent types: no article covers this one. The plane answers: drafting an article from the ticket as you go; confirm the three steps when you are done. The agent solves the ticket the way they always did. As the ticket fills up, the plane fills the article beside it: the problem, the environment, the cause, the fix, in the right taxonomy. When the agent closes, the plane posts the three steps back to the thread.

The agent confirms with a one, and the article is filed as a draft, linked to the ticket. Then: article drafted, reviewer pinged. Here is the first gate that stays with a person. Publishing to customers. The reviewer gets the draft in their own thread and approves it there, or sends it back with a three. Until then, nobody outside the team sees it. Capture while solving. The article costs the agent one confirmation. Now a ticket that arrives with nobody asking. A customer emails at six on a Friday.

The plane reads it, classifies it, and checks the account in CRM: the plan, the response time in the contract, the renewal date, the last note. It routes the ticket to the team that owns that plan, starts the clock against the promise, and drafts the first reply. Then it tells the channel: ticket 4821, Alder Ridge, billing, priority high, the contract says four hours; routed to tier two, first reply drafted. Send? The team lead answers one. Desk shows the ticket assigned, the reply sent, the clock running. The second gate.

If the draft would change a commitment, a credit, a refund, an exception to the service level, the plane does not offer a one. It asks a person to decide, and says which clause it read. Money and promises stay with people. The sorting does not. Escalation used to mean a person watching the service-level board. The plane watches the ticket's age and its pattern against every ticket that breached before. Two hours in, it posts: ticket 4821 will breach at nine forty on the current pace; two similar tickets last month went to engineering.

Escalate? The context is in the thread: the customer's history, the article that did not fix it, the log excerpt. The agent answers one. The ticket becomes a project task with the whole history attached, the customer keeps one thread, and Desk shows the project's status on the ticket. The third gate. Escalation to engineering is a person's decision, every time. The plane predicts, prepares and asks; it does not spend an engineer's afternoon on its own. The success manager's question, once a week: which accounts are at risk this quarter?

The plane answers from the health table, which joins tickets, usage and sentiment per account. Three accounts, each with the reasons: two breaches, a failed article, a renewal in fifty days, no touch in thirty. And a proposed touch per account. Ninety days out from a renewal, the plane opens a renewal risk gate: Alder Ridge renews the twelfth of December; health dropped from seventy-eight to sixty-one in six weeks; proposed plan, a call this week, a credit on the export incident, a review in October. Approve the plan? The success manager answers one, or two, or edits it and answers three.

CRM records the plan on the account, the tasks appear, the touches go on the calendar. The fourth gate. A health change that triggers an executive touch, or a credit, is a person's call. The plane found the pattern across three systems. The person decided what it is worth. Three rungs. Configured applications: a help desk set up, and your people working its screens. Integrated business solutions: Desk, CRM and the knowledge base joined into one operating model, which is what we build today. And AI-driven integrated business solutions: the same joined applications with a control plane above them.

Your agents talk to it. It acts, in Desk, in CRM, in the knowledge base. You approve the money: what is published, what is credited, what goes to engineering, what a renewal plan costs. We are CodeStringers, a Zoho consulting and integration partner. Customer Success OS is built and run on your own accounts, with every action logged and one accountable party. If your support volume is small and every customer is on the same terms, a plain help desk is right and costs less. If your customers are on different promises and your renewals depend on keeping them, the no-risk discovery is on our site.

Questions people ask.

What does knowledge first mean in the Customer Success OS demo?

Every ticket starts from the knowledge base. The agent types what the customer said, the system searches articles and resolved tickets, returns the best match with its reuse and success counts, and drafts the reply. The agent sends it with a 1 and the article is linked to the ticket. When nothing matches, the system drafts an article beside the ticket as the agent solves it, and the agent confirms the steps at the end.

How does triage carry the customer's contract?

When a ticket arrives, the system classifies it and checks the account in the CRM: the plan, the response time in the contract, the renewal date and the last note. It routes the ticket to the team that owns that plan, starts the clock against the promise and drafts the first reply for a person to send. A draft that would change a commitment, a credit, a refund or a service level exception is not offered on a 1; it asks a person to decide.

How is escalation predicted before a breach?

The system watches each ticket's age and pattern against every ticket that breached before and posts when a breach is likely, with the customer history, the article that did not fix it and the relevant log excerpt in the thread. Escalation to engineering stays a person's decision every time. On a 1 the ticket becomes a project task with its history attached and the customer keeps one thread.

How does the system see renewal risk?

From a health table that joins tickets, usage and sentiment per account. Ninety days before a renewal it opens a renewal risk gate with the health trend, the reasons and a proposed plan: a call, a credit on an incident, a review. The success manager approves, declines or edits it. A health change that triggers an executive touch or a credit is a person's call; the system finds the pattern across three systems and the person decides what it is worth.

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