REAL-TIME RELATIONAL INTELLIGENCE

Fixing the problem isn't the whole job anymore. Keeping the relationship strong is.

RI tracks what every conversation is doing to the customer relationship while it is happening. See when an interaction is deteriorating, where it is heading, and what to do next, while there is still time to change it.

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live · conversation 4471 · message 10 trust tension alignment responsiveness
m01 m10 m15 projected escalation threshold breach · m13 now tension alignment respons. trust
direction Deteriorating ↘
magnitude 0.64
divergence Widening
likely next Escalation
THE MISSING INSTRUMENTATION

We've been driving customer relationships without a dashboard.

You wouldn't drive a car with no instruments, then wait until the journey was over to ask a handful of people how well you drove.

But that is remarkably close to how customer relationships are measured today. Tickets tell us whether we arrived. Surveys ask how the journey felt. Analytics reconstruct what happened afterwards.

None of them show the driver what is happening while they can still do something about it.

RI provides the dashboard.

The job changed. Most tools didn't.

01

AI brings speed. People inherit the frustration.When automation fails, customers arrive at a human agent carrying the history of everything that has already gone wrong. The agent usually sees the ticket. They do not see the relationship's direction of travel.

02

The warning signs are there before the survey is.CSAT, NPS and post-interaction analytics tell you what happened after the conversation is over. By then, there is nothing left to change.

03

Volume hides the conversations that matter.A difficult conversation is not necessarily a dangerous one. A routine interaction can deteriorate very quickly. Managers need to know which relationships are actually moving toward risk.

04

At scale, nobody can see the whole relationship.Agents see individual messages. Managers see queues and KPIs. Executives see aggregates. The relationship itself disappears between them.

Traditional systems measure conversations. RI measures what conversations are doing to relationships.

CONVENTIONALOne score, after the conversation. What happened?
no reading while it happens m10 · risk not visible 3 / 5 report, after close
RIA live relational trajectory. What is happening?Where is it heading?What should happen next?
trust tension alignment predicted without action
m01m03m06m10m11m16 risk emerges RI predicts escalation intervention path changes avoided avoided trust tension
m03 · customer “Second time I'm asking about this invoice.”
m06 · ai agent “I understand. Here's a link to our billing FAQ.”
m10 · customer “Is there an actual person I can talk to?”
m11 · rep, guided by RI “That's on us. I've fixed the invoice, and I'll stay with this until it's closed.”

Most systems reduce an interaction to a score after it ends. RI follows multiple relational signals as the conversation unfolds, preserving direction: whether the relationship is stabilising, deteriorating or recovering.

It can then identify risk, project how the interaction is likely to persist, and return guidance while the conversation can still be changed.

Built for customer support, success, sales, professional services, and any interaction where the quality of the relationship matters after the ticket closes.

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WHAT CHANGES WHEN THE DASHBOARD IS ON

Drive relationships at scale.

Before the customer sees it

Stop the wrong AI response before it is sent.

RI's Governor can evaluate an AI-generated response inline and return a simple decision: pass it, retry it, or escalate it to a person.

passretryescalate
From 1 hour to 1 year

See how today's interaction is likely to persist.

RI can forecast the persistence of relational impact across six horizons: 1 hour, 1 day, 1 week, 1 month, 6 months and 1 year.

1 hour1 day1 week1 month6 months1 year
From warning to action

Know what to change when a relationship starts going wrong.

At-risk states can return prioritised guidance based on the signals driving the result.

Your thresholds

Decide what risk means in your operation.

Organisations can define their own red, yellow and green ranges for each lens, so intervention reflects the relationship standards that matter to the business.

REAL-WORLD USE

Already running in an enterprise customer-service environment.

RI is currently integrated through its API in a live enterprise deployment.

Additional customer work is confidential and is not used for public marketing.

BUILT TO FIT YOUR OPERATION

Start with the API. Keep control of where it runs.

Integrate RI into the systems your teams already use. Analyse individual interactions, apply the lenses relevant to your operation, return live guidance, and add prediction or inline governance where required.

For environments that need tighter control and lower latency, RI is designed to support local deployment.

API-first

One scoring call can return relational state, question-level signals, traffic-light status and prioritised guidance.

Inline governance

Use RI inside an AI response flow to pass, retry or escalate before the response reaches the customer.

Built for enterprise control

Organisation-level lenses, configurable thresholds, scoped API keys and deployment flexibility.

Know where your customer relationships are heading while you can still change them.

See what RI looks like on the conversations your team handles every day.

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