A proven process
for shipping AI.
Every engagement follows a structured methodology we've refined over 18+ years. Clear phases, defined milestones, and production as the only finish line.
Discovery & Audit
Week 1We start by understanding your business, workflows, and data. No assumptions — we map the landscape before we architect the solution.
Key activities
- Stakeholder interviews & workflow mapping
- Data audit & quality assessment
- Technical infrastructure review
- Opportunity identification & prioritization
- Feasibility analysis for AI approaches
Deliverables
Discovery report, opportunity matrix, preliminary architecture sketch
Architecture & Design
Week 2We design the system architecture, data flows, and AI components. Every decision is documented, every trade-off is explicit.
Key activities
- System architecture design
- AI model selection & evaluation
- Data pipeline architecture
- API contract definition
- Security & compliance review
Deliverables
Architecture document, API specifications, data flow diagrams, technology decisions log, security review, compliance mapping, data handling protocols
Build & Iterate
Weeks 3–6Rapid development with weekly demos. We build in production-like environments from day one — no surprises at deployment.
Key activities
- Sprint-based development (1-week cycles)
- Weekly stakeholder demos
- Continuous integration & testing
- AI model fine-tuning & prompt optimization
- Performance benchmarking
Deliverables
Working system increments, test reports, performance benchmarks
Harden & Deploy
Weeks 7–8Production hardening. Error handling, monitoring, cost controls, documentation, and a deployment strategy that ensures zero-downtime launch.
Key activities
- Production hardening & edge case testing
- Monitoring & alerting setup
- Cost optimization & token budgeting
- Documentation & runbook creation
- Deployment automation & CI/CD
- Security audit & penetration testing readiness
Deliverables
Production-ready system, monitoring dashboards, runbooks, deployment scripts, full documentation
Operate & Optimize
OngoingYour system is live — but we don't disappear. Ongoing monitoring, optimization, and iteration to ensure your AI keeps delivering value.
Key activities
- Performance monitoring & reporting
- Model drift detection & remediation
- Cost optimization & usage analysis
- Feature iteration & enhancement
- Knowledge transfer & team training
Deliverables
Monthly performance reports, optimization recommendations, updated documentation
Everything you need
to own the system.
Architecture documentation
Complete system design with data flows, component diagrams, and decision rationale.
API documentation
Full API specs with examples, authentication guides, and integration instructions.
Runbooks
Step-by-step operational procedures for common scenarios, incidents, and maintenance.
Monitoring & alerts
Production dashboards, error tracking, and automated alerting configured and documented.
Source code
Clean, documented, tested code. Deployed in your infrastructure, owned by you.
Knowledge transfer
Team training sessions, recorded walkthroughs, and ongoing Q&A support.
Post-launch
support options.
Launch Support
Bug fixes, performance monitoring, and optimization during the critical post-launch period. Included with every engagement.
Managed Operations
Ongoing monitoring, optimization, and feature development. Dedicated hours each month with defined SLAs and priority response.
Strategic Partnership
Long-term AI strategy and development partnership. Quarterly roadmap reviews, priority access, and proactive optimization recommendations.
Let's scope
your project.
Book a 30-minute discovery call. We'll assess your use case and give you a realistic timeline. No commitment.