TechJinni

Founder-led AI product and automation consultancy

From operational problem to working product.

TechJinni helps businesses define, build, and validate practical AI-enabled products, workflow automation, internal systems, and decision-support solutions.

Direct senior ownership remains in place from discovery through deployment. AI-assisted engineering accelerates execution without removing product judgment, architecture, security, testing, or release accountability.

Serik Jilkishiyev in an owner-supplied AI-stylised portrait.

Serik Jilkishiyev

Founder and delivery lead

11+ years

Technology delivery

4+ years

AI products and transformation

Working product

In active use

Distributed delivery

North America, Europe, and Asia

Consulting services

Practical work across product, operations, and delivery.

TechJinni works from the business problem outward. These are areas of focus, not fixed commercial packages.

Product to proof

01

AI Product Discovery & MVP Delivery

Turn unclear AI opportunities into defined, testable products through discovery, requirements, architecture, prototyping, MVP delivery, and validation.

Operations to control

02

Operational Automation & Internal Systems

Replace fragmented spreadsheets, chats, and manual processes with practical, traceable workflows and lightweight operational platforms.

Signals to action

03

Decision Intelligence & Executive Prototypes

Design interactive systems that connect operational signals, risks, impact, recommendations, ownership, and execution monitoring.

Delivery to confidence

04

Delivery Transformation & Governance

Improve delivery visibility, platform transitions, dependency management, operating models, reporting, automation, and execution control.

Delivery model

One accountable path from problem to product.

Codex and other AI engineering tools accelerate implementation inside a controlled product and delivery process. Requirements, architecture, security, acceptance criteria, QA, release readiness, and final accountability remain human-led.

  1. 01Discovery
  2. 02Product Definition
  3. 03Architecture
  4. 04Development
  5. 05Testing
  6. 06Deployment
  7. 07Commercialization
A structured process from discovery to commercialization, adapted to the needs of each engagement.

Active work

Products currently being shaped and validated.

The public stage of each product is stated conservatively, separating live capability from work still being completed.

Own product

Working product - SaaS preparation

HoursKZ - Workforce Operations Platform

Working product with active operational hardening, user UAT, SaaS architecture, and onboarding preparation.

See current stage

Client-requested product

Active MVP development

Inventory Management / WMS

Active MVP development. Remaining workflows, DEV deployment, and controlled UAT preparation continue.

See current stage

Enterprise prototype

Validated interactive demonstration

Enterprise Decision Intelligence

Validated interactive demonstration. It is not presented as a production enterprise deployment.

See current stage

Selected case studies

Evidence of how the work is approached.

Three current products and prototypes show the path from operational problem through product definition, validation, and next-stage delivery.

Conceptual arrangement of shift blocks, time tracking, messaging, and approval checkpoints.
Working product - SaaS preparation

Own product

HoursKZ - Workforce Operations Platform

Small service businesses manage staffing, hours, approvals, and payroll preparation across fragmented chats and spreadsheets.

Combines low-friction Telegram workflows with administration, review, auditability, and operational reporting.

Product deliveryOperational automation
View case study
Conceptual inventory movement network across warehouse operations, control points, and reconciliation.
Active MVP development

Client-requested product

Inventory Management / WMS

Stock operations need timely, accountable entry and control without losing visibility across warehouses, reference data, and reporting.

Creates a practical operational layer for controlled inventory movement, access, auditability, and reconciliation.

Operational systemsMVP delivery
View case study
Conceptual flow from operational signals through analysis, recommendation, action, and monitored outcome.
Validated interactive demonstration

Enterprise prototype

Enterprise Decision Intelligence

Executive teams need a clearer path from operational signals and root causes to impact, action ownership, and execution monitoring.

Makes the decision chain visible from a signal through analysis, recommendation, owner, and monitored execution.

Decision intelligencePrototype validation
View case study

Founder experience

Senior product and delivery experience behind the work.

More than eleven years across AI product ownership, enterprise delivery, transformation consulting, startup leadership, and operational systems informs every engagement.

View experience

Product Owner, Programme Manager, Delivery Leader, and Consultant experience

Startup and CTO experience

Small-business ownership perspective

Distributed teams across North America, Europe, and Asia

Start a conversation

Start with the operational problem.

Describe the current process, the problem to solve, and the outcome you are aiming for. Initial conversations are handled directly.