Proactive Intelligence | KaiMesh

Compound risk is the problem you can only see when several signals are evaluated together. KaiMesh surfaces developing situations while the intervention window is still open.

See it while it is still cheap to fix.

The expensive problems are visible weeks early, but only when signals from different systems are read together.

Every system said it was fine.

The expensive problems are visible weeks early, but only when signals from different systems are read together. No single threshold is breached; the situation is the combination.

Watch the combination across systems. Raise it with its consequence and remaining window attached. Act while the fix is still a conversation.

Four signals. Four systems. One account about to leave.

Rising tickets, a slipped milestone, an unowned commitment and a quiet sponsor. Individually survivable, together a $417,000 renewal with 31 days left.

Synthetic KaiMesh demo ยท PI-01. Demo values, not customer results.

See the evidence and calculation

No single threshold is breached. The situation is the combination: support load rising while delivery slips, an unowned commitment outstanding, and a renewal decision 31 days out.

Support history

Ticket volume up from 4 to 11 per month over the quarter, with average resolution time roughly doubling.

Delivery milestone

Phase two acceptance moved twice, now 19 days past the date in the statement of work.

Open commitment

A reporting change promised on the last review call has no owner and no delivery date recorded.

Renewal terms

Annual value $417,000. Notice period requires a decision 31 days before the anniversary.

Brief the account owner with all four signals before the next review. Assign the open commitment to a named owner with a date, and agree a recovery plan for the milestone.

Owner: Account owner + delivery lead

Track ticket trend and milestone recovery over the next three weeks, and confirm the renewal outcome against the plan.

Is this alerting?

No. Alerting fires on a single threshold in a single system. Compound risk is only visible when several signals are evaluated together, which is why your existing tools do not surface it.

How do you avoid flooding people with noise?

A situation is only raised when the combination meets a threshold you agreed, and it arrives with its consequence and window attached so the recipient can judge it in seconds.

Is $417,000 a customer result?

No. It is a synthetic KaiMesh scenario used to show the workflow. We do not publish customer figures.

How do we start?

Book a 30-minute demo. Bring a situation that surprised you in the last year, and we will show which signals would have surfaced it earlier.

What happens after the demo?

Start with one class of situation you have been surprised by before. Agree which signals matter, what combination constitutes a real situation, and who receives it. Tune the threshold against the last two quarters before going live.

Implementation and ongoing support are scoped and priced separately.

See the problem while it is still a conversation.

Book a demo

See what is happening across systems

Put a number and an owner on it

KaiMesh is business data intelligence across systems, documents, conversations and teams. This page explores one application of connected context, insights and accountable action. Explore the shared foundation.

Frequently asked questions

Is this alerting?

No. Alerting fires on a single threshold in a single system. Compound risk is only visible when several signals are evaluated together, which is why your existing tools do not surface it.

How do you avoid flooding people with noise?

A situation is only raised when the combination meets a threshold you agreed, and it arrives with its consequence and window attached so the recipient can judge it in seconds.

Is $417,000 a customer result?

No. It is a synthetic KaiMesh scenario used to show the workflow. We do not publish customer figures.

How do we start?

Book a 30-minute demo. Bring a situation that surprised you in the last year, and we will show which signals would have surfaced it earlier.

Continue on KaiMesh

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