Product to proof
01AI Product Discovery & MVP Delivery
Turn unclear AI opportunities into defined, testable products through discovery, requirements, architecture, prototyping, MVP delivery, and validation.
Founder-led AI product and automation consultancy
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
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
TechJinni works from the business problem outward. These are areas of focus, not fixed commercial packages.
Product to proof
01Turn unclear AI opportunities into defined, testable products through discovery, requirements, architecture, prototyping, MVP delivery, and validation.
Operations to control
02Replace fragmented spreadsheets, chats, and manual processes with practical, traceable workflows and lightweight operational platforms.
Signals to action
03Design interactive systems that connect operational signals, risks, impact, recommendations, ownership, and execution monitoring.
Delivery to confidence
04Improve delivery visibility, platform transitions, dependency management, operating models, reporting, automation, and execution control.
Delivery model
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.

Active work
The public stage of each product is stated conservatively, separating live capability from work still being completed.
Own product
Working product - SaaS preparationWorking product with active operational hardening, user UAT, SaaS architecture, and onboarding preparation.
See current stageClient-requested product
Active MVP developmentActive MVP development. Remaining workflows, DEV deployment, and controlled UAT preparation continue.
See current stageEnterprise prototype
Validated interactive demonstrationValidated interactive demonstration. It is not presented as a production enterprise deployment.
See current stageSelected case studies
Three current products and prototypes show the path from operational problem through product definition, validation, and next-stage delivery.

Own product
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.

Client-requested product
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.

Enterprise prototype
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.
Founder experience
More than eleven years across AI product ownership, enterprise delivery, transformation consulting, startup leadership, and operational systems informs every engagement.
View experienceProduct Owner, Programme Manager, Delivery Leader, and Consultant experience
Startup and CTO experience
Small-business ownership perspective
Distributed teams across North America, Europe, and Asia
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Describe the current process, the problem to solve, and the outcome you are aiming for. Initial conversations are handled directly.