Goal · success measure · owner
Set the context
Describe the result you need in everyday language. Start with a software project, an analysis workspace connected to existing data, or an automation-only workspace.
FROM NEED TO A WORKING SYSTEM
Describe the work. Turn it into an OGAN AI workspace.
Build software, analyze existing data, improve a process or automate repetitive work. Bring the right screens, data, AI model, agents and actions together in one governed flow.
END-TO-END WORKFLOW
Build, run, measure and improve.
Every stage is traceable in one project, while reading data, changing it and acting in an external system remain separate permissions.
Data · app · document · AI model
Connect the sources
Choose SQL Server, PostgreSQL or MySQL, a business app, API, document, permitted web source or model provider. Scope and access are managed separately for every connection.
Screen · report · analysis · permission
Shape the workspace
Use a prompt to prepare reports, dashboards, forms, business screens, SQL queries, analyses, tasks or automation drafts. Team members see only the screens, records and fields they are allowed to access.
Process · data mining · ML
Analyze and forecast
Run data quality, process mining, segmentation, anomaly, forecasting and classification flows on project data without moving it into a file. Turn findings into saved reports or improvement requests.
Agent · integration · RPA · task
Run the workflow
Combine agent, API, integration and RPA steps. Include scheduling, retries, failure handling and human takeover in the workflow definition.
Approval · audit · rollback · re-measurement
Govern and improve
Set explicit approval boundaries for messages, publishing, record changes and spending. Follow results in the audit trail; approve proposed improvements, apply them and measure again with the same criteria.
TECHNOLOGY FITS YOUR WORK
Built around the way you work, not a fixed template.
A database is not required. Start with a standalone process or automation draft, then add data, screens, models and integrations. AWS capacity and workspace components can expand as the project grows.
- Choose your model
Manage OGAN AI, your own API account, or an approved private/local model for each project.
- Human approval where it matters
Keep scope, approval, failure, retry and rollback rules visible for sensitive actions.
- Source code and portability
Download generated code or transfer it to an authorized GitHub repository and expand the project environment as needed.
START WITH ONE NEED
Describe the outcome and build your workspace step by step.
You do not need every technical detail upfront. Sources, permissions and action boundaries become clear as the need is defined.