Six Phases from Idea to Production AI
Every AI project follows our battle-tested process. Clear phases, defined deliverables, no ambiguity — so you always know exactly where things stand and what comes next.
The Six Phases
Every Step, Defined & Delivered
Discovery & Audit
1–2 weeksWe start by deeply understanding your business, data landscape, and objectives. No assumptions — just rigorous analysis.
- Stakeholder interviews & goal alignment
- Existing systems & data audit
- Technical feasibility assessment
- Competitive landscape review
- Risk identification & mitigation planning
Discovery Report + Feasibility Assessment
Strategy & Architecture
1–2 weeksWe design the solution architecture and create a detailed project roadmap with clear milestones and success metrics.
- Solution architecture design
- Tech stack selection & justification
- Data pipeline design
- API & integration mapping
- KPI definition & success criteria
Architecture Document + Project Roadmap
Proof of Concept
2–4 weeksBefore committing to full development, we build a focused PoC to validate the approach and demonstrate value early.
- Core model prototyping
- Data pipeline validation
- Performance benchmarking
- Stakeholder demo & feedback
- Go/no-go decision point
Working PoC + Benchmark Report
Development & Iteration
4–12 weeksWe build the production system in iterative sprints, with regular check-ins and continuous integration from day one.
- Sprint-based development cycles
- Continuous model training & tuning
- Integration with existing systems
- Automated testing & CI/CD setup
- Bi-weekly demos & progress reports
Production-Ready System + Test Suite
Deployment & Launch
1–2 weeksWe deploy to your infrastructure with zero-downtime strategies, monitoring, and a clear rollback plan if needed.
- Staging environment validation
- Production deployment & migration
- Monitoring & alerting setup
- Performance optimization
- Team handoff & documentation
Live System + Operations Runbook
Support & Optimization
OngoingPost-launch, we monitor performance, retrain models as needed, and continuously optimize for better results.
- Performance monitoring & reporting
- Model retraining & drift detection
- Feature enhancements
- Scaling & infrastructure optimization
- Quarterly strategy reviews
Monthly Performance Report + Optimization Plan
How We Work
Principles That Guide Every Project
Fixed Pricing, No Surprises
Every phase has a clear cost. You approve each stage before we proceed — no runaway budgets.
You Own Everything
All code, models, data, and documentation belong to you. Full IP transfer, no lock-in.
Transparent Communication
Bi-weekly demos, shared Slack/Teams channels, and real-time project dashboards. You always know the status.
Built to Last
We write clean, tested, documented code. Your system will be maintainable long after our engagement ends.
Typical Timelines
How Long Does It Actually Take?
Quick Integration
Connect an LLM to your existing workflow, deploy a chatbot, add AI to a single process.
Custom AI System
Train custom models, build data pipelines, full integration with multiple systems.
Enterprise Platform
Multi-team AI platform, complex integrations, ongoing optimization and scaling.
Ready to Start Phase 01?
Every successful AI project starts with a conversation. Tell us what you're building and we'll show you exactly how to get there.