From business workflow to working AI automation.

morilka is an AI automation studio led by Ilia Morozov, focused on turning complex business workflows into practical working systems.

For serious SMB and agency workflows where manual operations have become a constraint.

AI becomes useful when it becomes part of the workflow.

A generic chat window rarely changes operations by itself. Useful AI automation connects to data, tools, decisions, approvals, and measurable outcomes.

Systems where AI has work to do.

Workflow systems

Map messy operations into clear systems with owners, inputs, states, decisions, and outcomes.

AI automation layers

Use AI where context, judgment, classification, extraction, or generation creates real leverage.

Product/MVP architecture

Shape the first useful version, define the system boundaries, and build toward a working MVP.

A workflow becomes a system through staged decisions.

01

Understand

Clarify the workflow, users, systems, constraints, and business value.

02

Identify leverage

Find where AI and automation reduce manual load or improve decision flow.

03

Design system

Define architecture, data flow, integrations, human checks, and acceptance criteria.

04

Build automation

Create the working automation layer around the real process.

05

Validate

Test outputs, failure modes, edge cases, and human review points.

06

Launch

Move from prototype to a usable system with clear operating notes.

07

Iterate

Use feedback and results to decide what should become more automated next.

Business systems, product architecture, and practical AI delivery.

Enterprise IT and business systems

Experience with operational systems, business change, and complex internal processes.

System and business analysis

Requirements, use cases, data models, risks, roadmap, and practical trade-offs.

Integrations and APIs

Connecting systems so automation can act inside the real operating environment.

AI agents and workflow automation

Designing AI-assisted flows with validation and human control where needed.

Product architecture

Turning ideas into scoped MVPs and systems that can evolve.

Infrastructure awareness

Hands-on understanding of Linux, self-hosting, deployment, and operational constraints.

Selected products / systems

AI Document Sanitization

Problem
Companies need to use AI with documents while reducing exposure of sensitive, identifying, or private information.
System idea
Sanitize documents before they are sent to AI systems, replacing sensitive entities with consistent placeholders while preserving useful structure.
Value
Supports safer AI adoption in document-heavy workflows where privacy and trust matter.
Capability demonstrated
Workflow architecture, privacy-aware product thinking, AI integration, document processing, and trust-centered system design.

CommentAI for YouTube

Problem
Creators and teams with active audiences need relevant, natural replies at scale; generic automation lacks video context.
System idea
Analyze the actual video content and use that context to generate highly relevant replies to YouTube comments.
Value
Creates natural responses that add value, encourage further discussion, and improve engagement.
Capability demonstrated
Contextual intelligence, AI product thinking, content-aware automation, workflow design, and practical AI product delivery.

Bring a serious workflow. Leave with a working system.

Best for SMB and agency workflows where manual operations, documents, approvals, or coordination have become expensive enough to systemize.