Marina Ra · Public Lab · Central Asia

Real AI value for real business

A public laboratory where AI hypotheses are tested with real customers, business processes, and financial outcomes.

Real customersReal processesMeasurable outcomes
MARINA RA LAB / 02 ACTIVE

Current research field

Human × AI × Business

METHOD7 STAGES
OUTPUTEVIDENCE
REGIONCENTRAL ASIA

Business has enough AI presentations. What it needs is evidence.

Companies launch assistants and automation, yet often cannot answer which customer problem AI solves, which metric should change, or whether the solution deserves to scale after the pilot.

“

We do not start with technology. We start where a customer or a business loses time, money, trust, or an opportunity to grow.

Two environments. Two behavior models. One evidence system.

We bring experts and business teams together in environments where people already choose, buy, travel, participate, and return.

PHYGITAL RETAIL LAB

HONOR Outdoor Digital Experience Center

A real showroom testing one connected customer journey: AI-assisted selection, physical fitting, QR, a digital basket, online checkout, CRM, and continued communication after the visit.

  • AI-assisted outfit selection
  • Automatic size recommendation
  • QR product profile
  • AI tools for consultants
  • Post-visit personalization
TARGET PILOT SCENARIOnot an actual result
1 000visitors
400fittings
300identified
150purchases
+40online after the visit

From a business challenge to proven impact.

01

Challenge

Where does the customer or business lose value?

02

Diagnosis

Journey, data, constraints, and baseline metrics.

03

AI hypothesis

What does AI do, and what remains human?

04

Prototype

The smallest solution capable of testing behavior.

05

Pilot

Work with real customers and business processes.

06

Measurement

Compare the outcome with the baseline.

07

Scale

A playbook to improve, stop, or scale the solution.

08

Have a challenge to test?

Let’s define the hypothesis and the first measurable pilot.

Discuss a project →
SUCCESS CRITERION

An experiment succeeds not when the AI works, but when a customer or financial outcome changes.

What we test.

EXP 01Research

AI selection for a real customer need

Can a conversation about weather, activity, and context shorten the path to the right outfit?

ConversionDecision timeAverage order
EXP 02Design

A store without a traditional checkout

Can digital checkout free the consultant to help the customer while preserving trust?

CheckoutNPSSales
EXP 03Pilot model

AI travel guide: memory, fact, or advice?

Which answer types build trust, deepen content engagement, and inspire people to continue the journey?

EngagementDepthReturn
EXP 04Design

Challenge → community and rewards

Can routes, rewards, and visible progress turn a single visit into long-term participation?

RetentionUGCReferrals
EXP 05Research

AI → measurable growth

Which scenarios create measurable economic impact instead of an impressive demonstration?

LTVCostRevenue
NEXTOpen call

Your experiment could be next.

Describe the business problem. A technical specification is not required at the first stage.

Message me →

Public methodology. Protected data.

A public laboratory means transparent questions, methods, and conclusions — not open access to company data.

PUBLIC
  • Research question
  • Experiment method
  • Aggregated metrics
  • Conclusions and playbook
CONFIDENTIAL
  • Personal data
  • Trade secrets
  • Raw data
  • Closed processes

A meeting point for business challenges and expertise.

Company — Marina Ra
01

Company

Bring a real business or customer challenge and find a measurable path to a pilot.

Message me →
Expert — Marina Ra
02

Expert

Choose a challenge where your experience can shape the hypothesis, pilot, and result review.

Message me →
Community — Marina Ra
03

Community

Join the conversation around Lab Notes, open questions, evidence, and public debriefs.

Message me →

Marina Ra

Founder, Marina Ra Public Lab · Human × AI × Business

Portrait of Marina Ra
AI × GTMCentral Asia

I am building this laboratory on hands-on experience in growth, GTM, sales, analytics, and operational transformation.

I have worked across retail, SaaS, FMCG, banking, pharma, logistics, and technology projects in Kazakhstan and Uzbekistan.

+300%year-over-year growth in one project
×2revenue growth to ≈ ₸2.5B
25people in the sales team built
My role is to connect AI with real business constraints and turn experiments into a repeatable growth system.

AI implementation grounded in Kazakhstan’s real business context.

I work with companies in Kazakhstan and Central Asia to move from AI interest to a measurable operating result—through customer evidence, workflow redesign and controlled field experiments.

01

AI readiness × growth

We diagnose the customer, data, process and organizational conditions that determine whether an AI use case can create value.

02

90-day business pilot

We select one high-value hypothesis, define a baseline and KPI, test the Human × AI workflow and make a Scale / Iterate / Stop decision.

03

GTM and customer experience

We connect AI to a real customer mission, adoption mechanism, commercial metric and go-to-market plan.

Almaty · Astana · Kazakhstan · Uzbekistan · Central Asia

AI implementation: the practical answers.

01How should a company start implementing AI?+

Start with a business constraint or customer problem, not a tool. Define the baseline, the Human × AI workflow, the expected mechanism and one primary business metric before selecting technology.

02What is the difference between AI readiness and AI value?+

Readiness shows whether the organization has the data, process, skills and governance to act. Value is the measurable change in customer, operational or financial outcomes after an intervention.

03Can we begin with one AI pilot?+

Yes. A bounded 90-day pilot is often the best start when it has a clear owner, baseline, control or comparison, primary metric, guardrails and a predefined Scale / Iterate / Stop decision.

04What does the Public Lab publish?+

We publish methods, experiment design, lessons and non-confidential evidence. Company data, personal data and commercial secrets remain private.

Bring a challenge. Meet the right expertise.

Describe the problem and the outcome you want to change. Your brief will open as a ready-to-send WhatsApp message to me.

We evaluate:impact · measurability · pilot feasibility · the human role

LAB BRIEF / 01

Describe the challenge

FROM AI HYPOTHESIS

Do not implement AI blindly. Prove the value first.

Message me on WhatsApp
Human-Centered AI × Real Business × Measurable Growth
Marina Ra invites you to connect
LET'S TEST IT IN REAL BUSINESS
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