A four-act teaser · Open access

Most contact centres are run as cost. I run them as revenue.

I’m Alex Mead — Customer Contact, Service & Experience (CX) Transformation Leader and Executive. Available for hire — permanent or interim, globally mobile. 20+ years across 6+ sectors and 4,000+ people, proving service IS sales. The four acts below preview the operating model. The full 14-chapter walkthrough opens at the bottom — by request.

20+
Years
6+
Sectors
30+
Countries
4,000+
FTE led
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14 chapters · ~10 min · access code required (message me and I’ll send it over within the hour)

Alex Mead, Customer Contact, Service & Experience Transformation Leader and Executive
Alex Mead
CX Transformation Leader
Outcomes, across sectors

Six engagements. One pattern.

Cost reductions and revenue growth, delivered in every engagement. Anonymised by design — recognisable to anyone who knows the sectors.

Global airline group
£38M annual OPEX saved
4,000+ FTE · 12 sites · 3 continents
Savings + scale
Major UK bank
40% mortgage sales uplift
Regulatory rating rescued · 3,000 FTE
Sales + regulatory
Greenfield digital bank
90%+ CSAT · 2M+ customers in 6 months
200% over acquisition target
Acquisition + growth
Global services company
Abandonment 90%+ to under 10% in 6 months
2,000+ FTE · 70+ sites
Turnaround
Premium travel operator
99% customer rebooking intent
Full-service transformation
Retention
Greenfield BPO
75 to 400+ FTE in 12 months
150% revenue vs target
Revenue + scaling

Six sectors. One pattern.

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How I think — distilled from 20+ years across 6+ sectors

Service IS sales. Here’s the operating model.

One scenario, four moves. The scenario is luxury cruise — an anniversary group, a severe allergy, a crisis, a recovery, and a follow-on booking. The thinking is the same in banking, airlines, automotive, healthcare, premium retail, hospitality — any sector where the customer relationship is the commercial engine. This isn’t theory. It’s the operating model I’ve built and run, multiple times, at scale.

The brief

Twenty-fifth anniversary. Eight guests. One severe allergy. £30,000 brief.

Meet MJ — scenario anchor card showing the locked brief: Platinum loyalty, EPIC-2847591, 12,450 points, £148K LTV, 25th wedding anniversary, 8 guests, Mediterranean 7 nights, £24,013, Ocean Penthouse, EPIC VOYAGER III, David's severe peanut and tree nut allergy
Every detail below answers something in this card.
Act 1 — Discovery

I make AI organise everything before the human says hello.

Most contact centres re-key context. The customer answers the same questions twice, three times, four. I designed the architecture so context arrives with the customer.

AI extracts intent, entities, and sentiment from the very first message. The right specialist is matched on capability and history. The case opens with everything already there. Specialist time goes to thinking, not typing.

In the scenario
MJ shares an anniversary plan in conversation. AI extracts 9 entities in 90 seconds — 8 guests, Mediterranean, June dates, David’s severe nut allergy, Ocean Penthouse, £30,000 budget. Match score 94%. The specialist opens the case with everything ready. Quote at £24,013 arrives without a single follow-up question.
Act 2 — Group at scale

One specialist. Eight relationships. No coordination tax.

Group bookings are usually a coordination tax. I redesigned them as a revenue multiplier. Every guest in the group is its own conversation, its own commercial opportunity, its own retention path.

One booking link spawns eight live conversations. AI summarises thread state to the specialist, surfaces inflection points, reconciles dietary preferences and itinerary inputs. Humans handle the moments that matter; AI handles the rest.

In the scenario
MJ shares the quote with the group. 8 active threads open inside an hour. Photos, polls, dietary preferences, hesitations — all reconciled into one living view. The specialist gets alerted only when human intelligence adds value. Eight conversations, one thread, zero dropped balls.
Act 3 — Video as a closing channel

Video isn’t support. Video closes.

Sentiment in voice carries information text doesn’t. I designed the handoff to use it. When it counts, the human reaches back in the same medium — face, voice, presence.

Video intelligence reads sentiment, intent, and entities in real time. The specialist sees what mattered before they listen. The reply comes back as a personal video, addressing every concern by name. It doesn’t feel automated. It isn’t.

In the scenario
MJ records 20 seconds from her kitchen. Sentiment 7.0 — protective. The system detects David’s allergy reference before MJ finishes the sentence. The specialist replies with a 30-second video acknowledging the anniversary, confirming the Ocean Penthouse, flagging the allergy protocol. Modelled booking propensity jumps to 78%. Quote signs the same day.
Act 4 — Crisis & the revenue loop

Recovery isn’t cost. It’s the next sale.

Most CX functions optimise for cost-of-recovery. I optimise for what comes next. A well-handled crisis is the most reliable predictor of the next booking I’ve seen across 20 years.

Sentiment crash detected in real time. 90-second escalation. Human-led recovery with full context. Then — weeks later — intent signals trigger a proactive outbound at the moment the customer is browsing again. Service becomes revenue, on a continuous loop.

In the scenario
Day 3. David is offered tree-nut traces at the buffet. Brand Sentiment crashes 8.5 → 3.2. Escalation in 90 seconds. Specialist recovers the situation in 22 minutes. Sentiment returns to 9.2. Three months later, MJ is seen browsing Greek Islands — 3x page views, 78% modelled propensity. Specialist reaches out at exactly the right moment. Greek Islands rebooking: £26,200. LTV: £148K → £193K.

23 steps in the full walkthrough.

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This exact story is playable ungated right now at /cruise — and /banking shows the same operating model at work in a regulated bank.

Why this works

Not software. An operating model — on the tech you already have.

It’s a strategic framework, not a product.

I don’t sell software. I don’t sell SaaS. I don’t license frameworks. I’m hired to run the function — permanent or interim — and rebuild it as a revenue engine. The framework runs on the CRM, CCaaS, and CX stack you already have. The differentiator is the operating model, not the technology.

AI on top of CX fundamentals that already work.

The fundamentals predate AI by more than a decade. 36 capabilities across four pillars. AI is the multiplier — not the foundation. That’s the difference between a function that scales commercially and a function that breaks the moment the model changes.

Easy
9
Personal
9
Intuitive
9
Contextual
9

Built before AI was hype. Working today.

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If this resonates

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Fourteen chapters. Twenty-three steps. The end-to-end model — built, not described.

Alex Mead — CX Transformation Leader and Executive
Alex Mead Available now · Permanent & interim

See the full operating model.

The four acts above are a compression. The full walkthrough is 14 chapters, 23 steps — an end-to-end customer journey I imagined, designed, coded, and shipped alone. Every chapter, every interaction, every protocol. Most candidates send slides. I built you the working surface.

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14 chapters · ~10 min · access code required

Or get in touch directly.

A short note about what you’re hiring for — permanent leadership, interim mandate, or just a conversation. I respond personally, within hours.

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