Marina Rakhimzhanova · AI + Human Lab
We test hypotheses on real-world projects and build AI solutions for business growth
For investors and strategic partnersProjects in focus
01 / WHY
Enquiries come in, but too few turn into payments. Customers buy once, and revenue does not translate into enough profit. We find where results are lost and choose one change to test.
We do not start with technology. We start where a customer or a business loses time, money, trust, or an opportunity to grow.
01The growth constraint is unclear
02You have a workflow to improve
02 / GRI × GTM GROWTH SYSTEM
Where is money lost: during product choice, payment or the customer’s return? We connect GRI findings with an action plan and test one change in your business.
AIStart360 methodology · Marina Rakhimzhanova ↗Choose a situation you recognise. Each page explains what we can change, how we test it and which metric we compare.
AIStart360 PUBLIC LAB / CUSTOMER GROWTH LOOP
We design customer journeys using UX/UI, behavioural psychology and product analytics. We attract customers, help them experience value and return for another purchase. We connect useful habits, order value and LTV.
The customer understands which job your product solves.
UX Research · performance
The team completes a first useful work task.
UI/UX tests · first value
The solution becomes part of the normal workflow.
CJM · behavioural triggers
The customer buys again or renews a contract.
CRM segmentation · A/B tests
Another team uses your product to solve its own job.
AI personalisation · bundles
For your product, we agree channels, segments, events and periods. We assess 30/60/90-day retention once the relevant cohort has matured; 21 days do not replace 90 days of observation.
We study customer needs and behaviour through UX research and product analytics. We use CJM and User Journey Mapping to identify decision points, barriers and first value. We test the interface and one change, then compare behaviour, payments and costs.
The customer takes a meaningful next step.
The customer achieves an outcome, not merely opens the product.
The cohort returns to a useful activity.
There is a new payment, not just another visit.
Customer contribution grows after costs and rewards.
Customers return when a new need arises. A return visit and a new purchase are different outcomes.
Customer signal → Hypothesis → Human × AI pilot → Cohort evidence → Economics → Decision
Before launch, we define a metric, timeframe and success rule. We compare with a control or similar group and account for seasonality, discounts, returns, team time and AI costs. Timing alone does not prove an AI effect.
We track CAC, conversion, 30/60/90-day retention, repeat rate, AOV and LTV by channel, segment and cohort. We agree the event, period and costs before launch. We distinguish projected LTV from realised contribution; for long cycles, observation continues after Bootcamp.
Evidence supports the effect, with acceptable economics and quality.
There is a signal, but evidence or economics are not yet sufficient.
The decision rule is not met or guardrails are breached.
We communicate with customer consent and make opting out easy. Targets are benchmarks, not growth guarantees.
UX Research · CJM · User Journey Mapping · UI/UX testing · A/B testing · behavioural triggers · CRM segmentation · AI personalisation · performance marketing · upsell · cross-sell · bundles
HONOR’s customer journey provides context for a Customer Lifecycle hypothesis, not proof of this model’s impact.
03 / IMPLEMENTED CASE
How can you help a customer choose equipment, place an order and return for another purchase? See how we connected the website, CRM, inventory and loyalty. Implemented modules and hypotheses about their impact are labelled separately.
Implemented · all described modules · owner confirmed
Business diagnostics, GTM, commerce, equipment selection, CRM, inventory and loyalty — organised around one customer need.
Our role with HONOR Group is AI Growth Digital Partner. We work on the AIStart360 platform.
04 / METHOD
Four phases. Each produces a clear deliverable and a decision about the next step.
We analyse the challenge, customer journey and business baseline.
We connect GRI findings to a growth hypothesis and a test plan.
We test one use case with real customers and business processes.
We embed effective solutions in processes, the team and management.
Timings are planning guides. Scope, metrics and team involvement are agreed before starting. Each phase informs the decision to proceed.
Where does the customer or business lose value?
Journey, data, constraints, and baseline metrics.
What does AI do, and what remains human?
The smallest solution capable of testing behavior.
Work with real customers and business processes.
Compare the outcome with the baseline.
A playbook to improve, stop, or scale the solution.
An experiment succeeds not when the AI works, but when a customer or financial outcome changes.
05 / RA LAB / DECISION LIBRARY
Want to work through a challenge yourself? Choose your problem, explore a guide or company case study and plan your first test.
06 / OWN LABORATORY · TRAVELTECH
Our own lab: we test demand, tour selection and the path to payment.
Owned project · validating demand and business model
Developing a curated travel marketplace connecting travellers, vetted organisers and confirmed sales. The first pilot segment is women’s curated travel for ages 33+.
An independent project and an owned laboratory: testing demand and a commission model through travel, product and technology expertise.
07 / EXPERIMENTS
We investigate where AI changes customer behaviour, team performance and business economics. Every experiment begins with a real problem and supports a decision: scale, iterate or stop.
Research agenda: proposed hypotheses, not completed experiments or validated outcomes. An implemented feature does not prove its economic impact.
RetailTech · HONOR
Can context-aware AI recommendations increase paid conversion without compromising margins or recommendation quality?
Customer lifecycle · HONOR
Can AI personalisation grounded in real customer needs increase profitable repeat purchases?
TravelTech · 1 MLN KM
Can AI turn travel inspiration into a verified itinerary that users are willing to adopt?
GRI × GTM · AI economics
Can diagnosing a business constraint help select AI use cases with measurable economic value after all incremental costs?
Human × AI · B2B and services
Can the right division of work between AI and people improve productivity while preserving customer trust and service quality?
Where is your company losing customers, time or profit? Together, we can define a testable hypothesis, meaningful metrics and the right pilot approach.
Propose a business hypothesis →A 21-day test can assess a bounded workflow change. A 90-day business pilot includes baseline measurement, implementation and economic evaluation. Repeat purchases may require 90–180 days or more. These are planning horizons, not promises of results.
Baseline, comparison method, period, sample size, costs, limitations and the decision. Before launch, we define the primary metric, minimum meaningful effect and stopping rules. A null or negative result can still support a useful decision.
08 / AISTART360 · JOIN THE LAB
We bring specialists together around complex business challenges. We test ideas in real projects and build solutions whose value can be demonstrated.
We start with a challenge, a role and a way to contribute.We find where value is lost
We connect expertise and a testable idea
We measure the effect and make a decision
09 / FOUNDER
Venture Builder · Founder of AIStart360
We integrate GRI and GTM diagnostics, sales, analytics, and AI into a unified system for measurable business growth.
More than 15 years of experience across retail, SaaS, FMCG, finance, pharma, logistics and technology projects in Central Asia.
10 / KAZAKHSTAN × UZBEKISTAN
Astana HubTechnology park
IT Park UzbekistanIT ecosystem
MOSTBusiness & capital
AlmaUUniversity
AI & Digital BridgeTechnology forum
CEVFVenture forumWe are developing six locations and gathering interest from companies and local partners. Dates, venues and participation terms will be published once a launch is confirmed.
KazakhstanProposed location
USAProposed location
Proposed location
SwedenProposed location
ChinaProposed location
Proposed location
AI IN CENTRAL ASIA
We 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.
We diagnose the customer, data, process and organizational conditions that determine whether an AI use case can create value.
We select one high-value hypothesis, define a baseline and KPI, test the Human × AI workflow and make a Scale / Iterate / Stop decision.
We connect AI to a real customer mission, adoption mechanism, commercial metric and go-to-market plan.
START WITH YOUR QUESTION
Tell us about one problem: enquiries that do not convert, too few repeat purchases or cash shortages despite revenue. In 20 minutes, we will clarify where to look for the cause, what data is needed and where to start.
An introductory conversation about one issue. A full audit and implementation plan are a separate engagement. Choose a time and receive confirmation through TidyCal.
