AI × Human Experience

Technology.
People.
Results.

I’m Kirill Naumov. I help retail and service businesses connect AI adoption, customer experience and the way teams work.

Kirill Naumov

LIVE ONLINE · 07 NOV 2026

AI in retail.
Time to build.

Sales. Learning. Loyalty. Your own AI products. Four hours to move from “interesting” to “here’s what we’ll test”.

7 November · 11:00–15:00 (GMT+5) · In English

$299participation fee

Explore the workshop ↗
Kirill Naumov, workshop hostWITH KIRILL NAUMOV
Retail. Service. Hospitality. Working in English and Russian.

About

Technology changes quickly. Trust changes everything.

Kirill Naumov is an international consultant, entrepreneur, keynote speaker and AI integrator. He brings 16 years of work across retail, construction, hospitality and service businesses, including 11 years at Apple, where commercial performance, people and customer experience meet. Today, he helps leaders build the operating systems that make AI adoption useful, credible and human.

For seven years, he taught marketing and sales to MBA participants specialising in business management. He has taught over 15,000 learners worldwide.

He also won a scholarship to study on the Showrunner programme at film school.

at Apple11 years
leadership reach7 countries
English & Russian2 languages

Start with your business.

45 minutes. Three priorities. A clear next step.

Find where AI can help your business, what to test first and how to measure the result.

01

Find the friction.

Where customers leave, teams lose time and the business loses a sale.

02

Choose what matters.

Three priorities for your business, not a list of fashionable AI tools.

03

Plan the test.

What to try first and which measures will tell us whether it helps.

$500 / one working session

Business problems

Where the work earns its place.

Illustration: a customer and colleague in a light-filled store
Technology helps. People stay at the centre.
01

Customers leave before buying

Map the wait, handoffs and unanswered questions. Test arrival-aware service or staff assistance at the busiest point.

Measure: waiting time · abandonment · conversion

02

The first purchase stays the last

Use consent-based service preferences and relevant follow-up to make the next visit easier. Keep a person available when judgement matters.

Measure: repeat purchase rate · time to next visit

03

A pilot adds work for the team

Put assistance inside an existing workflow, clarify when to hand over to a person and test it with the frontline team.

Measure: handling time · adoption · service quality

These are opportunities to test, not promised results. We agree the baseline, pilot scope and success criteria before implementation.

Kirill Naumov at Customer Experience Forum in 2017

On stage. With teams. In conversation.

Experience you can see.

Marketing, sales, customer experience and gamification — in classrooms, at conferences and in working sessions.

Speaking and photographs →
Kirill Naumov leading a demonstration at a laptop

From demonstration to understanding

Complex ideas become clear through practice.

Show it, discuss it, try it. This principle connects my teaching experience with the work I do with teams today.

Areas of practice

Where does your business need its next move?

Retail AI consulting and pilot strategy

Retail AI consulting for commercial and operations leaders: identify where AI can genuinely help in team workflows, customer service or operations, then start with one measurable pilot.

Explore the approach →
Kirill Naumov in conversation with an audience

Corporate sales and customer experience training

I help retail leaders and HR teams connect sales training to real frontline situations: discovery, demonstration, customer uncertainty and the next step.

Explore the approach →
Kirill Naumov speaking at the Palitra presentation seminar

AI workshops for leadership teams

Working sessions for leaders who need to understand AI’s capabilities, choose priorities and agree on responsible ways of using it at work.

Explore the approach →

Across languages

One approach. Different contexts.

Consulting and training in English and Russian. Online delivery; on-site work can be discussed for your team.

International teams

  • UAE / Dubai
  • United Kingdom
  • United States

For retail networks, service organisations and distributed teams seeking English-language support.

Service coverage, not office locations.

Engagements

From a sharp question to a durable transformation.

01

45-minute diagnostic · $500

Start with one business problem. Identify three priorities and the first hypothesis worth testing.

  • One focused session
  • Three practical priorities
  • Implementation scoped separately
Request a diagnostic →
02

HXOS™ Integration Programme

Design human–AI ways of working that teams can actually adopt and leaders can measure.

  • Operating model
  • Pilot design & adoption
  • Commercial measurement
Explore the approach →
03

Leadership & Team Workshops

Turn strategy into confidence, language and behaviour on the frontline.

  • AI for leaders
  • Sales psychology
  • Customer experience culture
Explore the approach →

Selected experience

AppleLEGOMarsSonyM.VideoScania

Brands and organisations Kirill has supported across commercial performance, training and customer experience.

“The companies that win in the AI era will not be the most automated. They will be the most human.”

Expertise

Where technology meets human behaviour.

AI & Retail
Customer Experience
Sales Psychology
Luxury Service
Leadership
Team Training
Human-Centred Business
Brand Storytelling

Frequently asked

The useful questions, answered directly.

Who is Kirill Naumov?

Kirill Naumov is an international AI integration consultant and speaker. His work connects AI adoption, customer experience, sales psychology and leadership.

What is HXOS™?

HXOS™ is Kirill’s Human Experience Operating System: a practical way to design human–AI ways of working that teams can adopt and leaders can measure.

Who is this work for?

The work is designed for leaders in retail, luxury, hospitality and service businesses who need AI to improve commercial performance without losing trust or human judgement.

What happens in a diagnostic?

A 45-minute diagnostic clarifies the highest-value opportunity. You leave with three concrete AI and human-experience moves to prioritise next.

What does the diagnostic cost?

The 45-minute diagnostic is $500. Follow-on implementation is scoped separately.

What formats are available?

Engagements range from an AI and Human Experience Diagnostic to an HXOS™ integration programme and leadership or frontline workshops.

Where does Kirill work?

Kirill works internationally in English and Russian with leadership teams and customer-facing organisations.

What outcomes can a team expect?

The focus is on removing friction, improving customer and team experience, building adoption confidence and connecting change to commercial measures.

How do we start?

Start with a diagnostic conversation. Share the business challenge, the customer moment or the AI initiative that needs to become useful.

Client work

Beyond ideas. Work done together.

Corporate workshops, retail loyalty and leadership learning.

Corporate workshop · Gamification

Motivation starts before the reward.

A workshop on gamification and the design of staff motivation at points of sale.

Challenge and approach →
Lazurit

Retail · Loyalty programme

Loyalty on both sides of the counter.

A webinar on gamification and loyalty programme tools for furniture retailer Lazurit.

Challenge and approach →
RANEPA / MBA

MBA in Business Management

Learning to lead. Through practice.

Marketing, sales and gamification taught to MBA students through practical seminars.

Challenge and approach →

Participant perspectives

What stayed with participants.

«The world we live in is full of examples of gamification. Kirill helped us see them differently, understand them and consider how they could apply to company processes.»
Alexey LogachevPerformance Manager, Mars
«Informative, engaging and relevant, with an excellent combination of theory and practical tasks.»
Irina ZelentsovaDivisional Marketing Manager, M.Video
«The topic is new to our market, and Kirill covers it very well — naturally using gamification during the training itself.»
Igor MannBusiness speaker, marketer and author

Excerpts from the Naumov Consulting Group archive, translated from Russian. Roles are shown as recorded at the time of the testimonial.

A tool for your team

Why should a customer come back?

Review seven components of a loyalty programme. Get your next questions to investigate — no registration required.

Try the self-check →

Ideas you can picture

Familiar things.
A different experience.

Living room in an IKEA showroom

IKEA · Independent concept

More than a sofa. A better way to live.

From browsing furniture to making choices around real life.

Read the essay →
Close-up of a Dyson DC59 Motorhead vacuum

Dyson · Independent concept

The purchase is just the beginning.

Making ownership easier, long after the first day.

Read the essay →
Colorful LEGO bricks

LEGO · Independent concept

AI that knows when to step back.

Offer a direction. Leave the joy of discovery to the person.

Read the essay →

Independent editorial explorations, not commissioned projects or implementation results.

Photo credits and licenses

Photos are cropped for display; LEGO is also resized. The LEGO image and its adaptations are licensed CC BY-SA 2.0.

All essays →

Practical thinking

What to examine before implementation.

AI in Retail Media: Optimise the Campaign, Then Prove It Moved the Business

A practical guide to using AI in retail media while distinguishing attributed sales from genuine incremental impact.

Read the guide →

How to choose your first retail AI pilot

Choose a bounded use case, establish a baseline and test whether AI actually helps employees and customers.

Read the guide →

How to evaluate sales training beyond satisfaction scores

Measure transfer to work, manager reinforcement and commercial outcomes without confusing correlation with impact.

Read the guide →

Why employees are not using AI — and what leaders should check

Distinguish skill gaps from workflow, trust and access problems when introducing AI at work.

Read the guide →

Where retail loses customers between advice and purchase

Diagnose post-consultation drop-off: uncertainty, stock, queues and unclear handovers before prescribing sales training.

Read the guide →

AI personalisation in retail: useful, not unsettling

A practical framework for retail personalisation with AI: relevant signals, visible customer value, consent and meaningful measures.

Read the guide →

AI translation in retail: make the conversation clearer, not just faster

A practical guide to AI translation for retail teams: choose the right use cases, protect product and policy meaning, and keep human support within reach.

Read the guide →

AI in retail marketing: make the campaign match the shelf

A practical framework for AI in retail marketing: connect campaigns to availability, customer context and measurable business outcomes.

Read the guide →

AI in retail loyalty: measure incremental profit, not redemptions

A practical guide to testing whether AI-selected loyalty offers change customer behaviour and create incremental value for a retailer.

Read the guide →

AI in retail returns: make the difficult moment easier for customers and staff

A practical guide to using AI in retail returns and service recovery while keeping policy decisions and customer care accountable to people.

Read the guide →

AI in retail loss prevention: find the process signal, not a suspect

A responsible approach to retail loss analytics: start with a specific process problem, verify alerts and keep consequential decisions with people.

Read the guide →

AI in construction: find the right project answer before the site moves on

A practical guide to AI-assisted construction document search, revision control and accountable project decisions.

Read the guide →

AI in restaurants: a useful copilot starts with the manager’s questions

A practical guide to using AI in restaurant operations—from sales and menu questions to carefully controlled actions on inventory and staffing.

Read the guide →

Starbucks Tomorrow

Less friction.
More reasons to return.

An independent concept for a better customer experience.

Customer experience scenarios

Independent concept · 01/03

Coffee when you arrive.

Preparation is timed to your arrival. Orders are distributed around capacity, with pickup separate from the till queue.

Pilot measures: pickup waiting time and the share of customers leaving without ordering.

YOUR ORDER09:41

Your cappuccino will be ready when you arrive.

✓ Pickup without the till queue

Independent concept · 02/03

A better first sip.

Choose whether to drink now or take it away. That choice guides preparation, with quality and safety checked by the team.

Pilot measures: satisfaction with temperature and the frequency of remakes.

WHEN WILL YOU DRINK IT?Now

Prepared for your first sip, not a long wait.

✓ Preference saved with permission

Independent concept · 03/03

Next time, even simpler.

With permission, the service remembers your usual order. Repeat it without searching the menu again, with offers relevant to your visit.

Pilot measures: repeat purchase rate and time between visits.

YOUR USUALAgain?

Cappuccino. Just how you like it.

✓ Repeat your order

Not commissioned by Starbucks. Impact needs validation; these are not implementation results.

Start with a clear next move

Make your next AI decision
useful.

A 45-minute diagnostic for retail, luxury and service leaders. You leave with three practical priorities—not a generic deck.

Kirill Naumov

Start a conversation

Tell me what is not working.

Start with the challenge, not a ready-made list of tools.

Discuss a diagnostic →