Systems That Run Your Operations, Built Never to Stop.
Softwarefactory designs, builds, and maintains enterprise systems — from multi-branch medical records to corporate operations management — with enterprise-grade quality governance and AI-augmented delivery speed.
A System That "Works" Is Not the Same as a System You Can Rely On.
Most companies do not discover the real problem when a system is first built — they discover it six months later, when a new branch opens, data falls out of sync, or the vendor who built it is no longer reachable. Multi-branch operations, regulatory compliance, and integration with legacy systems require more than code that runs — they require a partner accountable for long-term outcomes.
Vendors disappear after handover
No one to call when the system breaks at branch number five.
Systems cannot scale
Systems built for one branch cannot scale to multiple branches without being rebuilt from scratch.
No real SLA clarity
"Responsive when available" is not a guarantee for systems running daily operations.
Not a One-Off Project. A System That Grows With Your Operations.
Softwarefactory operates on an Enterprise Managed Service model: every engagement starts with a paid Discovery Sprint to map your real operational needs, followed by phased per-branch implementation, and maintained through clear SLAs — not verbal promises. You know exactly what you are paying for, when results arrive, and who is accountable when something breaks.
Focused discovery. Measured implementation. Accountable support.
Discovery Sprint
Mapping needs & estimating ROI before a single line of code is written.
Phased Implementation
Per-branch development with measured, agreed-upon milestones.
Managed Support & SLA
Ongoing support with SLAs agreed from day one.
Modular Service Architecture: Mitigating Delivery Risk at Every Project Stage
We separate our service lines based on an operational risk matrix, not merely technical function. This modular approach gives your company full flexibility to choose the right working model without binding all your needs into one rigid contract.
Application & Product Design
Product discovery, problem validation, user flow design, wireframing, and early-stage acceptance criteria definition.
Software Project (Fixed Scope)
For needs with a clearly defined scope and milestones, complete with release targets and a formal SOW.
Software Product (Dedicated Squad)
A dedicated team with an adaptive roadmap, sprint cadence, and continuous ownership for evolving products.
Software Quality Assurance
Independent credit-based testing — comprehensive test execution, defect logging, and release-readiness recommendations.
Software Maintenance & Support
Post-release stability through strict SLAs, allocated work-hour quotas, minor fixes, patching, and periodic reporting.
Custom Enterprise Solution
A fully tailored combined service package built around your internal governance, regulatory compliance, and infrastructure scale.
The Same Process Every Time, Scaled to Your Needs
Discovery Sprint (Paid)
Mapping real operational needs, identifying leak points and risks, and estimating ROI before a single line of code is written.
Output: A concrete scope document and technical proposal.Architecture & Validation
Senior team designs system architecture and validates against relevant regulations — health data standards, financial security, etc.
Output: Technical architecture document and agreed milestones.Phased Implementation
Development supported by AI-augmented engineering for speed, with every stage passing through a human quality gate before moving forward.
Output: Releases per milestone per the agreed SOW.Rollout & Managed Support
Phased go-live per branch or unit, with support SLAs active from day one — not after the warranty period ends.
Output: Live system with active SLA and periodic reporting.Each stage produces documentation you can use independently.
Startup Speed, Enterprise Quality Control.
Our team uses AI engineering agents to accelerate routine technical work — code scaffolding, automated testing, and continuous security scanning — so our senior team's time is spent on what cannot be replaced: business logic validation, architecture decisions, and quality review before your system goes live.
This is not "AI writes, then deploy" — it is "AI accelerates, humans decide."
Role Division: AI Agent vs Human Control
| Stage | AI Agent Role | Human Control |
|---|---|---|
| Discovery & Design | Drafting scope documents, structuring initial text | Business logic validation, legal & regulatory fit |
| Code Development | Writing routine code structures, database functions, unit tests | Architecture peer review by senior engineer |
| Security & Testing | Automated security scanning, continuous automated testing | Manual User Acceptance Testing with client |
| Maintenance | Automatic ticket categorization, routine FAQ responses | Direct handling for critical issues & enterprise customization |
Trusted With Systems That Cannot Fail
State-owned enterprise, multi-branch healthcare clinic services
Challenge
Manual medical record systems caused service delays and risk of inconsistent data across branches.
Result
An integrated clinic information system running across multiple branches since 2024, with a zero critical-downtime track record for daily operations.
Fuel station operators & fuel logistics management
Challenge
Operational leakage and fuel transaction fraud that were difficult to detect manually.
Result
An operations management system with an anti-fraud module and automatic data integration with the client's ERP system.
Questions We Hear Before Every Engagement
Yes. AI is only used to accelerate routine technical work such as code scaffolding and testing. Security validation, data access, and regulatory compliance are always performed and approved by a senior human team before the system goes live. No sensitive client data is processed by third-party AI without contractual control.
It depends on the scale and complexity of your needs. The Discovery Sprint runs for 2–4 weeks and produces a specific implementation timeline. We do not give generic estimates before understanding your actual operational conditions.
Every Enterprise Managed Service engagement includes a response SLA agreed at the start of the contract — not a verbal promise. Service level details such as response time and escalation are discussed and agreed upon before the contract is signed.
No. You begin with a standalone, paid Discovery Sprint — producing a scope document and concrete recommendations. The decision to move into full implementation is made after you see the Discovery Sprint results, not before.
Yes. One of our core service areas is integrating with existing ERP, HRIS, or legacy platforms that are already running — without disrupting ongoing operations.
Still have questions? Request a Discovery Sprint and discuss directly with our team.
Start by Understanding Your System, Not by Assuming.
Our Discovery Sprint gives you a concrete map of your operational needs — whether or not you move forward with implementation together.
Request a Discovery Sprint →