Faster exploration
Compare technical approaches, investigate edge cases, and turn early findings into clearer options.
1Discovery
2Roadmap
3Build
4Launch
Arghafy Process
A clear path from operational friction to working software.
Strategy, product planning, engineering, and support stay connected so every phase produces a useful decision or deliverable.
AI-assisted engineering
AI accelerates the work. Experienced judgment stays in control.
Claude, ChatGPT, and GitHub Copilot support research, implementation, testing, and documentation—while architecture, security, and every production decision remain human-reviewed.
AI tools in our workflow
ClaudeChatGPTGitHub Copilot
More focused implementation
Reduce repetitive coding and documentation work so more attention goes to product logic and user experience.
Human-reviewed delivery
AI-generated suggestions are reviewed, tested, and adapted to the project before they reach production.
Delivery stages
See what happens, what is decided, and what comes next.
Each stage produces a concrete output, keeping scope, progress, and responsibilities visible.
Phase 01
Discovery and workflow mapping
2-5 days
We clarify the business problem, current workflow, user roles, data sources, integrations, and success criteria before writing the build scope.
Workflow map
User and role list
Scope recommendation
Phase 02
Solution design and roadmap
3-7 days
Arghafy turns the findings into feature priorities, data structure, screen flow, technical direction, and a phased delivery plan.
Feature roadmap
Data and module plan
Timeline estimate
Phase 03
Build, review, and iteration
2-10 weeks
The system is built in practical milestones, with demos, feedback loops, and implementation decisions documented as the product becomes usable.
Working modules
Staging demos
Iteration backlog
Phase 04
Launch and operational support
Ongoing
After launch, Arghafy helps with deployment, handover, monitoring basics, support planning, and next-phase improvements.
Release checklist
Handover notes
Support plan
What customers receive
A product your team can operate—not just code to inherit.
Delivery includes the decisions, documentation, review cycles, and support needed to keep improving after launch.
Business scope
Clear feature boundaries, priorities, assumptions, and what should be postponed to a later phase.
System structure
Modules, database direction, roles, permissions, and integration points that match the workflow.
Quality review
Responsive checks, core flow testing, data validation, access control review, and launch readiness.
Support rhythm
A practical plan for bug fixes, improvements, monthly iteration, and future automation opportunities.
Project readiness
Useful context beats a polished specification.
Start with the real workflow, existing tools or examples, and the people who can review decisions as the product takes shape.
There is a clear business process or customer journey to improve.
The main users, roles, and decision makers are known.
Existing tools, spreadsheets, websites, or apps can be shown during discovery.
There is a target launch window or phased priority.
The team can review demos and give feedback during the build.
Where this fits
One process for many software needs.
Company websites
SaaS products
Internal dashboards
Mobile apps
Order management
Education platforms
Workflow automation
Existing app improvement
Ready to scope
