Skip to content
DATA & AI · FROM FOUNDATIONS TO PRODUCTION

I help companies build the data foundations and AI systems they need to grow.

From data architecture to AI in production - I design, build, and stay involved after launch.

Enterprise-grade Data & AI - sized for your company.

Book a Data & AI fit call

No demo required. We’ll discuss your goals, your data, and the next practical step.

Aleksander Sakwarelidze, Founder and Principal Data & AI Architect at WHY AI
Aleksander Sakwarelidze
Founder & Principal Data & AI Architect

Enterprise pharma · FMCG · IT · startups scaling data/AI

WHAT YOU NEED

What I can help you achieve.

From making your data usable to building and running AI systems. Start wherever you need help. Not sure where to start? → Business clarity.

Build with me
  1. A working AI demo for a real use case

    A scoped prototype on a real process - not a generic chatbot. You see the constraint, the data, and whether the use case is worth taking further - in less than 10 business days.

    Discuss your use case
  2. Company data ready for AI

    We assess your data, design the architecture, and build the pipelines and controls your AI systems need.

    Discuss your data needs
  3. A clear delivery / implementation plan

    We prepare an execution plan - something a delivery team can execute, with or without our help.

    Discuss your delivery plan
  4. Turn the demo into a production system

    The demo becomes a system: access, monitoring, evals, and an owner. Not a second prototype.

    Discuss your production system
  5. AI training for business and technical teams

    Hands-on workshops tailored to your team’s work - from everyday business tasks to software development and technical workflows. Available as standalone training or alongside an implementation.

    Explore AI training & workshops
Decide with me
  1. Business clarity on where AI helps growth (and where it doesn’t)

    Audit your company and know where AI can help - and where it will not. Independent of the build sequence.

    Explore where AI can help
Stay with me
  1. Ongoing production ownership

    Monitoring, access control / least privilege, and safe iteration after go-live - not a handoff and disappear.

    Discuss ongoing support
HOW TO START

How we can work together.

A focused project, ongoing support, or hands-on team training. We’ll help you choose the right format.

A defined outcome, scope, timeline, and price.

Example engagements

AI Production Readiness Audit

In 10 days you know whether your PoC can become a system - and exactly what to change before it does.

10 days

Architecture Sprint

Data architecture, RAG, agents, or platform design. Diagrams, evaluation plans, prototypes your team can build from.

3-6 weeks

Production Ownership

After go-live: monitoring, least privilege, and safe iteration - not a handoff-and-disappear.

3-6 months
CASE · MASPEX

Controlled spend. Brand share held.

An attribution model that helped guide marketing spend while brand share held, with decisions documented for internal audit and external regulatory review.

SNAPSHOT
Sector
FMCG · beverage
Engagement
All phases: design, architecture, implementation, business cases, production
Duration
12 months
P.R.O.D.
18 / 20
Audit
0 critical findings
NEXT STEP

Let’s find the next step for your data and AI.

Thirty minutes. No demo required. No deck.

Book a Data & AI fit call
COOKIES & ANALYTICS

Optional analytics and masked session recordings help us improve this site. They load only with your consent. Form content is excluded. See privacy.