Workflow systems
Map messy operations into clear systems with owners, inputs, states, decisions, and outcomes.
AI automation studio
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.
Operating thesis
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.
What morilka builds
Systems where AI has work to do.
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.
How the work moves
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.
Expertise signals
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.
Selected products / systems
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.
Contact
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.