Why 90% of companies choose to buy vs. build. Compare costs, timelines, and risks of custom development vs. proven AI infrastructure.
Realistic cost analysis including development, team, infrastructure, and maintenance
20 critical features compared: build from scratch vs. ready to deploy
| Feature | Build In-House | AgenixChat |
|---|---|---|
Multi-tenant Architecture | Build from scratch | |
AI Integration (Flexible) | Custom development | |
Authentication (SSO, MFA) | Build & maintain | |
RBAC & Permissions | Custom implementation | |
Audit Logging | Build from scratch | |
REST API & MCP Server | Custom development | |
Security Certifications | Expensive audits ($50K+) | SOC 2, ISO ready |
HIPAA/GDPR Compliance | Build & maintain | |
Deployment Options | Limited | Vercel/Docker/VPS/Air-gap |
Monitoring Integration | Build integrations | Prometheus, Grafana ready |
Backup & Disaster Recovery | Build from scratch | |
Scaling Architecture | Design & implement | Proven patterns |
Documentation | Write & maintain | Comprehensive docs |
Technical Support | Hire team | Dedicated support |
Regular Updates | Ongoing dev work | Automatic releases |
Bug Fixes | Your responsibility | Included |
Security Patches | Your responsibility | Immediate |
Community & Ecosystem | Build alone | Active community |
Proven Track Record | Unknown (risky) | Production-tested |
Time to Market | 6-12 months | 1-2 weeks |
Beyond the obvious: opportunity cost, technical debt, and market timing
Engineering team focused on infrastructure instead of core product features
Accumulates over time, requiring refactoring and maintenance
Knowledge loss when engineers leave, onboarding costs for replacements
6-12 months delay vs. 1-2 weeks, missing market opportunities
Honest assessment: which option is right for your situation?
Building in-house might make sense in these rare scenarios
The smart choice for 90% of companies
Join companies that chose the smart path: proven platform, faster deployment, lower cost.
