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Financial Performance Engine
Regulatory Risk Shield
Escalation & Complaints Suite
Escalation & Complaints Suite

Stop complaints
before they start

Every formal complaint was a conversation that could have been saved. The emotional signals that predict a complaint appear minutes before the customer reaches the point of no return. Sentient Machines surfaces them in real time.

Real-time escalation alerts
Minutes of warning before complaint
Root cause analysis
The problem

Every complaint was a conversation that gave you warning.
You just couldn't hear it

A customer who is about to complain doesn't suddenly snap. Their frustration builds across the call. Their language becomes more formal. Their tone shifts. They start repeating themselves. These signals appear, on average, three to five minutes before the customer escalates or the call ends badly.

Without the technology to detect them, supervisors cannot intervene in time. The conversation ends. The customer complains. The FOS referral arrives. And nobody ever hears the call that started it all because it was in the 96% that never got reviewed.

DD
Dr Danica Damljanovic
Founder and CTO
"

Every formal complaint
began as an emotion.
That emotion was detectable
early enough to change the outcome.
We built the technology
to do exactly that."

Sentient Machines
What it delivers

Real-time intervention before the complaint is made

The engine detects the emotional sequence that predicts a complaint and alerts the supervisor while there is still time to act. Post-call, it analyses patterns systematically so the root causes can be addressed structurally.

Real-time escalation alerts, notifies supervisors of conversations with elevated complaint probability several minutes before the customer escalates
Complaint prediction scoring, every interaction receives a complaint probability score, enabling prioritised follow-up with at-risk customers after the call
Root cause analysis, identifies the agents, teams, products and processes generating disproportionate complaint volumes, so you can fix the underlying issue
Repeat contact identification, flags customers who have already contacted multiple times without resolution, before frustration tips into a formal complaint
FOS referral risk scoring, identifies the interactions most likely to generate an upheld Financial Ombudsman complaint, so the highest-risk cases are always reviewed
CSAT prediction without surveys, estimated from the emotional content of every interaction, giving you satisfaction intelligence on 100% of conversations
Emotional trajectory, a typical complaint conversation
Calm Peak Call starts SM Alert Resolved Complaint Without intervention With Sentient Machines
Average warning before escalation 3 to 5 minutes
Supervisor alerted while the call is still live
Intervention changes outcome in 30% of cases
Root cause data drives structural improvement
Illustrative, based on client deployment data. Results vary by environment and interaction type.
The evidence

Prevented, predicted, resolved

30%
Escalations prevented
Through real-time supervisor intervention before point of no return
26%
Complaints reduction
Through root cause analysis and systematic process improvement
11%
CSAT uplift
Alongside reduced call volume as fewer customers need to call back
"

This technology is extremely valuable,
both in terms of enabling companies
to better understand their customers,
and to ensure that automation is not delivered
at the expense of customer experience.

AD
Aaron Diss
Head of Customer Engagement, The Telegraph
This is relevant if your concern isb&
Customer experience
How do we reduce formal complaints and improve customer satisfaction without simply adding more resource?

The engine surfaces complaints before they become formal, gives supervisors time to intervene, and identifies the root causes driving repeat escalations.

Operational efficiency
How do we reduce unnecessary repeat contacts, handle time and the operational cost of complaint handling?

Complaint prediction and root cause analysis reduce the volume of repeat contacts and help fix the processes generating disproportionate complaint volumes.

Regulatory exposure
How do we reduce FOS referrals and the cost of upheld complaints before they reach the Ombudsman?

FOS referral risk scoring identifies the interactions most likely to be upheld, enabling prioritised review and intervention before the referral is made.

Want to see this in practice? The Telegraph: real-time emotional intelligence at scale
Get started

Find out how many complaints you could prevent

Share a sample of your customer interactions and we will show you what the engine finds in your own conversations, typically within 24 hours. Or calculate your escalation exposure in our ROI calculator.

For senior leaders
A 30-minute strategic briefing

A peer conversation about the commercial and reputational case for complaint reduction, and what Sentient Machines can realistically deliver in your specific environment.

For CCOs, COOs, Heads of Customer Experience and board-level stakeholders. Come as you are.

Request your first Board insight
For operational teams
Send us a sample. See the signals in 24 hours

Share a sample of your contact centre interactions and we will return a real analysis showing escalation probability scores, emotional trajectory patterns and identified root causes.

For heads of complaints, QA managers, contact centre leads and customer experience teams.

Request your first QA/Complaints/Contact Centre insight