How We Work
The Sadbhagy Engineering Framework
A named, five-phase methodology that structures every engagement — from a two-week assessment to a multi-year platform build.
Discover
Data landscape assessment, architecture audit, gap analysis.
- Current-state architecture map
- Data maturity scorecard
- Prioritized gap list
Design
Solution architecture, platform design, technology selection.
- Target architecture diagram
- Technology selection rationale
- Phased delivery plan
Engineer
Build, integrate, test, harden.
- Working pipelines and platform components
- Automated test coverage
- Infrastructure-as-code (Terraform) definitions
Activate
Deploy, monitor, optimize, enable teams.
- Production deployment
- Monitoring and alerting setup
- Internal team enablement session
Scale
Expand platforms, add AI layers, evolve with business needs.
- Scaling roadmap
- AI/ML layer proposals
- Quarterly architecture review cadence
Engagement Models
Three Ways to Work With Us
Project-Based
A defined scope and outcome — a platform migration, a new pipeline, an AI proof-of-concept moved to production.
Retainer
Ongoing platform ownership: ongoing engineering capacity for ongoing data and AI needs.
Staff Augmentation
Embedded engineers working inside your existing team and processes.
Security & NDA
Security and Confidentiality Commitment
A mutual NDA is standard before any architecture or data details are shared. Access to client systems is scoped to the minimum required for the engagement and revoked at close.
First 30 Days
What to Expect Early On
The first 30 days map to the Discover phase: architecture review sessions, access provisioning, and a delivered gap analysis that becomes the input to the Design phase. You'll have a documented current-state map before we propose anything.