Thirteen phases.Zero shortcuts.
Every engagement runs through the same disciplined lifecycle, accelerated with AI at each stage. Nothing skipped, fully traceable, never really finished.
The full lifecycle, phase by phase.
01Discovery
Understand the business context, stakeholders, and constraints before anything else.
02Business Analysis
Map current processes and quantify where software (and AI) changes the economics.
03Requirements Gathering
Turn goals into testable, prioritized requirements — AI-assisted, human-approved.
04Planning
Scope, milestones, staffing, and risk register agreed before build begins.
05UI/UX Design
Interfaces designed around real workflows, validated with prototypes.
06System Architecture
An architecture sized for your next 10x, not just today's load.
07Development
Senior engineers shipping in tight, AI-assisted loops with mandatory code review.
08Testing
AI-generated test suites reviewed by engineers; regression runs on every merge.
09Quality Assurance
Manual exploratory passes and acceptance criteria sign-off per milestone.
10Deployment
Automated, repeatable releases with rollback plans as standard.
11Monitoring
Observability, alerting, and SLO tracking from day one in production.
12Maintenance
Patches, dependency updates, and performance care on a defined cadence.
13Continuous Improvement
Production telemetry feeds the roadmap — the lifecycle never really ends.