Review - In steps

How Review works

Our analytics platform identifies, analyses and surfaces insight from your data, across third-party sources and internal datasets alike.

01

IDENTIFICATION

Map & ingest

We map your data landscape and ingest data from across your business, third-party sources, and regulators, structuring it all into an insight-ready format.

01

IDENTIFICATION

Map & ingest

We map your data landscape and ingest data from across your business, third-party sources, and regulators, structuring it all into an insight-ready format.

02

ANALYSIS

Model & surface

AI models the aggregated data to surface patterns, emerging risks and root causes automatically, ensuring comprehensive analysis of all your complaint data

02

ANALYSIS

Model & surface

AI models the aggregated data to surface patterns, emerging risks and root causes automatically, ensuring comprehensive analysis of all your complaint data

03

INSIGHT

Report & explore

We create a structured report that provides insights across your data, with the ability to ask follow-up questions in your own words.

03

INSIGHT

Report & explore

We create a structured report that provides insights across your data, with the ability to ask follow-up questions in your own words.

From raw data to regulatory-ready insight, without disrupting how your teams already work.

Built to detect

Insights across every risk area

Consumer Duty

Assess and evidence good outcomes and consumer-harm indicators.

Consumer Duty

Assess and evidence good outcomes and consumer-harm indicators.

Vulnerable customers

Check vulnerable customers are correctly identified and supported.

Vulnerable customers

Check vulnerable customers are correctly identified and supported.

Fraud signals

Spot emerging fraud typologies and other risks early.

Fraud signals

Spot emerging fraud typologies and other risks early.

Commercial insights

Surface trends in complaints and customer sentiment that connect directly to commercial decisions.

Commercial insights

Surface trends in complaints and customer sentiment that connect directly to commercial decisions.

Irresponsible lending

Identify patterns that may indicate irresponsible lending e.g. affordability concerns, repeat borrowing

Irresponsible lending

Identify patterns that may indicate irresponsible lending e.g. affordability concerns, repeat borrowing

Quality assurance

Assess complaint handling quality against your own standards, surfacing inconsistencies

Quality assurance

Assess complaint handling quality against your own standards, surfacing inconsistencies

Intake

We pull data across public, private, and third-party sources, including platforms like Trustpilot, Instagram, and Twitter.

This provides an unbiased, accurate representation of your business, from the eyes of the public.

Analyse

Our AI model processes this data to surface insights across emerging harm, root causes, systemic issues, and Consumer Duty outcomes.

These insights form the basis of our reports, which can be further refined through additional questioning.

Report

We produce a report that gives clients oversight of what their data is really saying an initial view into the functions behind the scenes, often unexpected and at odds with current organisational priorities.

Choose from a selection of pre-configured report templates across Consumer Duty and FCA, or customise your own.

Clients may prompt the report further, unearthing greater detail and understanding the why behind the what.

FAQ

In case you missed anything

We're here to answer all your questions.

Contact support

Can we explore any source of data through the analytics platform e.g. internal sources?

While Consumer Duty reports can be made as default, is it possible to make customised reports?

How recent is the public/third party data that is uploaded to the platform?

Is data biased towards complaints that are already escalated?