Coming soonCustomer Success

Hire an AI Client Health Monitor

No client leaves suddenly. They go quiet first: fewer replies, meetings pushed, logins dropping - signals scattered across your systems where nobody assembles them. This employee assembles them. Every week it reads the engagement signals for every client relationship and flags the drift while it is still a conversation, not a cancellation call.

How hiring works

What you get

How it goes, start to finish

  1. Say go

    Your private channel opens the minute you hire. No call, no kickoff meeting, no software to install.

  2. Homework first

    It studies your business and writes your Company Brief, then learns your client roster and what a healthy relationship looks like in your world.

  3. Connect the signals

    You grant read access once, in your portal's Access tab, to the systems where engagement shows up. Reading is the whole grant.

  4. Approve the definitions

    The first health read proposes what gets measured and what counts as drift, in plain language. You approve it once, and it becomes the standard every week is judged by.

  5. Act while it is early

    The weekly read lands in your channel: who drifted, who is thriving, and the evidence for both. The save conversations happen months earlier than they used to.

Where the quality comes from

Like every Tenfold employee, this one runs one opinionated method: each client measured against their own baseline rather than a universal score, evidence attached to every flag, and early over certain - a false alarm costs a check-in, a missed drift costs the client. When the field moves, the method moves, and you do nothing to get the update. Here is the whole method.

Access

It reads engagement signals through grants you make once, in your portal's Access tab. Reading is the whole grant: it never contacts a client and never changes a record. Credentials never appear in chat, and you can revoke them yourself at any time.

Fair questions

What signals does it actually watch?

The ones your systems already carry: communication frequency, meeting patterns, activity and usage where it exists, response times. The first read proposes the exact set from what you connect, and you approve it.

Will it contact my clients?

Never. It watches and tells you. What to do about a drifting client - the call, the visit, the gesture - stays a human decision, made warmer by arriving early.

How does it know what is normal for each client?

It baselines every relationship on its own history. The client who was always monthly is not flagged for being monthly; the weekly client who went silent for three weeks is.

Is a health score actually useful?

A score alone is not, which is why every flag carries the evidence and the story: what changed, when, and how it compares to that client's normal. You act on the story; the score just ranks the reading order.

What about the clients doing great?

They show up too, as opportunities: the thriving accounts worth a bigger conversation, a testimonial ask, or a referral. Retention tools that only see danger miss half the value.

More of the team

Ready when you say go.

Requesting this role moves it up the roster - requests set the order roles open for hire, and you will hear the moment it opens.

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