Delivery designed for production — not pilot purgatory
A phased delivery model with clear acceptance criteria at every stage. No surprise scope. No endless discovery.
The delivery timeline
1
Discover
Weeks 1–2Map workflows, stakeholders, integrations, and success metrics.
2
Research
Weeks 2–3Data assessment, feasibility, and opportunity scoring.
3
AI Opportunity Assessment
Week 3Prioritized use cases with ROI framing.
4
Architecture
Weeks 3–5System design, security model, integration contracts.
5
Prototype
Weeks 4–6Working build against real data; validate accuracy and cost.
6
Engineering
Weeks 6–12Production implementation with CI/CD and monitoring.
7
AI Integration
OngoingLLM routing, RAG, agents, evaluation pipelines.
8
Testing
Pre-launchLoad, security, golden-dataset, and UAT.
9
Deployment
LaunchStaged rollout with rollback plan.
10
Monitoring
Day 1 post-launchObservability dashboards and alerting from day one.
11
Continuous Improvement
OngoingCost tuning, accuracy optimization, expansion.
Ready to move from pilot to production?
Start with a conversation grounded in engineering reality.