Collect scattered company know-how
ZaliBrain can collect information from documents, databases, APIs, internal tools, messages, support tickets, reports, forms, and other business sources.
ZaliBrain helps companies capture critical know-how from tools, documents, messages, tickets, databases, and people-driven workflows, then structure it into clear instructions that AI agents can use to automate real business tasks. Instead of relying on scattered knowledge and manual rule writing, ZaliBrain creates the company brain between your business context and your AI agents.
Company Brain
What ZaliBrain Does
ZaliBrain turns fragmented company knowledge into a living instruction layer that agents and automation systems can use.
ZaliBrain can collect information from documents, databases, APIs, internal tools, messages, support tickets, reports, forms, and other business sources.
The system analyzes the collected knowledge and identifies the context, policies, exceptions, handoffs, and decisions behind each task or workflow.
ZaliBrain converts business knowledge into clear, structured instructions that AI agents can follow to perform actions, make decisions, or continue a workflow.
The generated skill files and instructions can be used by AI agents, internal tools, APIs, workflow engines, copilots, or automation systems.
Why It Matters
AI agents are only useful when they understand what to do, which knowledge to use, and how the company expects work to be done. In many companies, critical know-how is spread across systems, files, messages, tickets, databases, and people's heads. ZaliBrain creates the missing layer between that raw company knowledge and reliable AI automation by turning business context into structured, task-specific instructions.
Teams no longer need to manually inspect every knowledge source and write every instruction, rule, or process step from scratch.
Agents perform better when they receive structured, specific, and context-aware instructions based on how the company actually operates.
ZaliBrain helps move from simple chatbots to agents that can support real workflows, decisions, and operations.
Core Workflow
The workflow is designed to move from fragmented company knowledge to reviewed, reusable instructions for agents and automation systems.
Example Use Cases
ZaliBrain can support teams wherever company know-how, business context, and repeatable instructions need to come together.
Generate instructions for agents based on customer tickets, refund policies, previous cases, support macros, and internal guidance.
Turn reports, logs, process rules, and operational know-how into instructions for agents that support daily work.
Collect information from company websites, news, CRM notes, and public sources, then generate instructions for sales follow-up or lead prioritization.
Create instructions from SOPs, manuals, tribal knowledge, and business rules so internal copilots can guide employees step by step.
Use production data, reports, alarms, and historical information to generate instructions for monitoring, analysis, and decision support.
Convert documents, files, threads, tickets, and unstructured knowledge into instructions that agents can act on.
Instruction Output
ZaliBrain can generate structured outputs that are easy for agents and systems to consume, review, and improve over time.
Task instructions
Agent prompts
Executable skill files
Workflow steps
Decision rules
API action plans
YAML or JSON instructions
Human-readable summaries
Automation-ready procedures
Agent task: Monitor machine M-24 for abnormal vibration. If vibration exceeds the approved threshold, compare the event with the last maintenance record, check recent temperature and load values, create a maintenance ticket with the likely cause, notify the shift supervisor, and request engineer approval before stopping the line.
Deployment
ZaliBrain can be adapted for private, local, or cloud deployment depending on customer requirements. This is important for companies that want to connect internal knowledge sources while keeping control over sensitive business information and automation behavior.
Local or private server deployment
Cloud deployment option
API integration
Human review option
Agent integration
Structured instruction outputs
Product Preview
A look at the current ZaliBrain workspace for connecting knowledge sources, generating instructions, reviewing outputs, and preparing agent automation.

A central workspace for monitoring sources, extraction jobs, generated skills, and agent-ready outputs.

Connect and manage the company knowledge sources that feed the instruction layer.

Track the processing pipeline that turns source content into structured facts, rules, and context.

Review generated knowledge and instructions before they are approved for automation workflows.

Organize generated skills that agents can use for repeatable business workflows and decisions.

Expose ZaliBrain outputs through API endpoints for tools, agents, and workflow systems.

Test generated instructions with agent workflows before using them in production automation.

Export structured outputs for agents, APIs, internal systems, or human review.
ZaliBrain helps companies capture scattered knowledge, understand business context, and generate the specific instructions AI agents need to automate real workflows safely and consistently.