AI-powered CX automation
Turn your customer data into decisions.
We implement the right technology, define the metrics that truly matter, and build the dashboards that turn your CX operations into a data-driven decision machine. Powered by advanced analytics and artificial intelligence applied to customer experience.
— First insights in week 3 —
The underlying problem
More data than you can process.
Most companies have more customer data than they can process and fewer actionable insights than they need. They invest in platforms, build dashboards that nobody uses and end up making decisions based on intuition — just as they always have.
“Your customer data is only as valuable as the decisions it drives.”
That’s why we do more than implement tools. We help define the questions that matter, build systems that answer them automatically and train your team to operate independently once the project is complete.
Does that sound familiar?
Signs that your CX analytics isn't working
If any of these sound familiar, the problem isn’t your data — it’s your analytics strategy.
What does the service include?
Two fronts, one same goal.
There comes a point when managing CX in-house starts slowing the business down. If certain operational signals are already there, outsourcing customer experience may be the smartest investment you make this quarter.
Front · A
Customer experience metrics
We design the CX dashboard your business needs, focused on the KPIs that truly drive performance, with measurement frameworks that make them reliable, comparable and actionable.
Analytics and reporting platforms
We implement and configure the tools that turn customer data into actionable insights. From Voice of Customer platforms to machine learning models that predict customer churn.
The CX Vocabulary
The metrics we work with.
First Contact Resolution
NPS
Customer Satisfaction
CSAT
Customer Effort Score
CES
First Contact Resolution
First Contact Resolution
Average Handle Time
AHT
Customer Lifetime Value
CLV
Churn rate
Churn
Retention rate
Retention
Real-world use cases
How we apply CX technology.
Tech stack
Technologies we work with.
We take a technology-agnostic approach, helping you choose the tools that best fit your existing stack, budget and business needs.
Frequently Asked Questions
We answer your questions.
01
How long does a CX analysis project take to show results?
The first actionable insights typically emerge within weeks 3–4, following the initial dashboard implementation and first layer of analysis. Predictive models such as churn and sentiment analysis generally require 8–12 weeks to stabilise and deliver reliable results based on sufficient data.
02
Do I need a mature data platform to work with you?
No. In fact, many projects begin by bringing order to the chaos — data spread across multiple tools, with no shared structure or consistent logic. Creating that foundation is often one of the most valuable parts of the work we do.
03
Do you work with my existing data, or is a migration required?
We work with your existing technology stack whenever possible. We only recommend a migration when the current setup is genuinely limiting progress, and never without a transparent cost-benefit analysis.
04
Do you use AI with my customer data? Is it secure?
Yes. We use AI where it delivers clear value — from classification and predictive modelling to sentiment analysis — always in compliance with GDPR requirements. We sign NDAs and data processing agreements, and where compliance demands it, models can be deployed within your own infrastructure.
05
What is the difference compared to hiring a data analyst?
A data analyst answers questions. We help define which questions matter, then build the systems that answer them automatically, combining CX expertise with industry knowledge. We also train your team to become self-sufficient over time.
06.
Do you only handle implementation, or do you also provide ongoing support and optimisation?
Both. Many clients choose an ongoing support model to continuously improve dashboards, refine predictive models and develop new use cases without having to restart the project each time.
You have been measuring for months. What if we start making decisions?
If you've been investing in measurement for a while without anything changing, let's talk. Request a CX data audit, and we'll show you which insights you are missing out on and how to turn them into decisions that impact the business.
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