GRI — Growth Readiness Index
A structured diagnosis of seven conditions that determine whether the business is ready to grow.
- 01Product & demand
- 02Trust & positioning
- 03Business model
- 04Cash stability
- 05Operations
- 06Team
- 07Founder readiness
AIStart360 Public Lab · Central Asia
Real AI value for real business
A public laboratory where AI hypotheses are tested with real customers, business processes, and measurable financial outcomes.
Real customersReal processesMeasurable outcomes
MARINA RA LAB / 02 ACTIVE
Current research field
Human × AI × Business
01 / WHY
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.
02 / GRI × GTM GROWTH SYSTEM
Diagnose readiness. Build the market motion. Prove the economics.
Marina Rakhimzhanova develops the AIStart360 methodology as one connected growth system: GRI identifies the binding constraint, the GTM map turns it into execution, and a field pilot tests the result with real customers.
AIStart360 methodology · Marina Rakhimzhanova ↗7GRI readiness blocks
8GTM system blocks
21days for the field pilot
90days in the action plan
GTM — go-to-market system
An eight-block execution map that connects market evidence, revenue mechanics and the operating team.
- 01Market
- 02ICP
- 03Value proposition
- 04Offer
- 05Channels
- 06Sales funnel
- 07Unit economics
- 08Team & operations
Target economics from the GTM modelLTV / CAC ≥ 3CAC payback 1–2 monthsRepeat revenue 40–60%MoM growth 15–25%
Explore the GRI & GTM library →03 / LIVING LABS
Two environments. Two behavior models. One evidence system.
We test hypotheses 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.
TARGET PILOT SCENARIOnot an actual result
1 000visitors
400fittings
300identified
150purchases
+40online after the visit
04 / METHOD
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.
05 / EXPERIMENTS
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 →06 / PUBLIC BY DESIGN
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
07 / EXPERT × BUSINESS
A meeting point for business challenges and expertise.
Choose your role. Each route starts with a clear contribution and ends with evidence, a decision or shared knowledge.
01
Company
Bring a real business or customer constraint that needs a measurable answer.
Your route
- Submit the challenge
- Run a GRI diagnosis
- Design the GTM hypothesis
- Test it in a 21-day pilot
What you receive
Bring a challengeAn evidence pack and a Scale / Iterate / Stop decision.
02
Expert
Bring specialist knowledge that can make a live business hypothesis stronger.
Your route
- Share your expertise
- Match with a challenge
- Co-design the test and metrics
- Review the evidence
What you receive
Join as an expertA verified case, professional visibility and new collaboration.
03
Community
Follow the work, ask better questions and help useful evidence travel further.
Your route
- Choose a topic
- Read Lab Notes
- Join an open discussion
- Contribute feedback or a connection
What you receive
Join the communityPractical learning, relevant peers and a visible contribution.
08 / FOUNDER
Marina Rakhimzhanova
Founder, AIStart360 · creator of GRI · GTM & AI Growth
I connect GRI diagnostics, GTM, sales, analytics, and AI into one measurable business growth system.
I have worked across retail, SaaS, FMCG, banking, pharma, logistics, and technology projects in Central Asia and Eastern Asia.
+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.
09 / AI IN CENTRAL ASIA
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.
AI readiness × growth
We diagnose the customer, data, process and organizational conditions that determine whether an AI use case can create value.
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.
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
QUESTIONS LEADERS ASK
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.
LEARNING & PROFESSIONAL NETWORK
Platforms where I learn, research and develop the Human × AI × Business practice.
10 / OPEN CALL
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
FROM AI HYPOTHESIS
Do not implement AI blindly. Prove the value first.
Message me on WhatsAppHuman-Centered AI × Real Business × Measurable Growth
