AI & CX Consulting

Unlocking the full
potential of your customer
experience technology

Most organisations have already invested in the technology. The chatbot is live. The Help Centre exists. The data is being collected. What is missing is someone who can make it all actually work — and prove that it is working, to the people who need to know.

AI Chatbot Strategy · Knowledge Management · CX Analytics · Platform Configuration · Executive Reporting · Help Centre Strategy · Automation Design · AI Chatbot Strategy · Knowledge Management · CX Analytics · Platform Configuration · Executive Reporting · Help Centre Strategy · Automation Design ·

Where AI meets customer operations

Most businesses are not failing because they lack the technology. They are failing because the technology is not being used properly. The chatbot deflects instead of resolves. The knowledge base exists but nobody can find anything. The data tells a story that nobody has taken the time to read.

Triple E works at the intersection of AI, knowledge, and customer operations — understanding the technology well enough to configure it, the data well enough to interrogate it, and the business well enough to translate what it all means for the people making decisions at the top.

From classifying thousands of customer queries to configuring the AI that resolves them, building the knowledge infrastructure that supports them, and producing the reporting that proves it is working. Delivered across multiple brands, simultaneously.

15+
Years in financial services
5
Brands managed simultaneously
46%
AI automated resolution rate achieved
93%
CSAT score sustained post-AI launch

Markets served

United Kingdom Nigeria USA Financial Services Insurtech Fintech Telco

Five areas. Real results.

Every engagement is built around your specific problem, not a generic framework. Here is where Triple E operates.

01

AI Chatbot Strategy

Designing, building, and improving AI chatbot flows. Intent taxonomy, guardrail writing, performance analysis, and making sure your bot resolves queries rather than just deflecting them.

02

Knowledge Management

Auditing and restructuring Help Centres, article writing, taxonomy design, content governance, and measuring whether your knowledge base is actually doing its job.

03

Data Analysis & Reporting

Turning raw contact centre data into insight. Building reports that tell a story covering channel mix, CSAT, and AI performance, calibrated for every audience from team to board.

04

Platform Configuration

End-to-end configuration of customer service platforms. Trigger and automation logic, widget setup, routing design, and fixing the bugs nobody else has noticed yet.

05

Stakeholder Communication

Translating technical work into business language. Whether it is a team briefing, a manager update, or an exec deck, the message is calibrated precisely for its audience.

Ready to talk?

Get in touch

What this looks like in practice

Real work. Real outcomes.

Demand Analysis

From raw conversations to strategic action

Hundreds of customer chat conversations were sitting unread and unclassified. Every one was worked through, classified into a nine-intent demand framework with a risk model built on top, and turned into findings that made sense to a frontline team, a manager, and an exec. Three different audiences, three different versions, one body of work.

Platform Audit

Finding what nobody else had noticed

A live customer service operation had issues nobody could pinpoint. Emails sending twice, tickets routing to the wrong place, test automations quietly running on real customers. The entire platform was mapped, the causes found, and a clear remediation plan produced that the team could act on immediately.

AI Launch

Launched, measured, and proved it was working

An AI chat solution was designed and configured across multiple brands at the same time, with a measurement framework built from scratch and performance tracked every week. Within three weeks handling time had dropped and customer satisfaction was holding above 90%.

Executive Reporting

Reporting that actually gets read

Leadership were receiving data but not insight. The reporting framework was redesigned end to end covering AI performance, channel mix, knowledge base effectiveness and automation impact, built so that someone with no technical background could read it, understand it, and make a decision from it.

The right fit for the right challenge

Organisations that have invested in AI or self-service tools but are not sure if they are working.

Teams with a lot of contact centre data but no clear way to turn it into insight leadership can act on.

Businesses with a CX platform setup that has grown organically and needs someone to make sense of it.

Anyone who wants senior-level reporting but lacks someone who can bridge the gap between the technical team and the exec.

Growing fintechs and insurtechs scaling customer support and needing the knowledge infrastructure to match.

Businesses building a Help Centre from scratch and wanting it done properly, with a clear governance model from day one.

Let's talk about your challenge

No pitch decks sent upfront. No proposals before a conversation. Just a direct discussion about where the problem is and whether Triple E is the right fit to solve it.