AI Development Process

Our AI Protocol

From discovery to deployment — a battle-tested methodology designed specifically for AI and automation projects.

01

AI Discovery & Scoping

1–2 WEEKS

We map your business processes, identify automation opportunities, and evaluate which AI models and tools are the right fit.

Process auditAI opportunity mapModel selectionProject scope document
02

Architecture & Prompt Design

2–3 WEEKS

We design the system architecture — RAG pipelines, agent workflows, prompt strategies, and integration blueprints — before writing a single line of production code.

System architecture diagramPrompt engineering specsData flow mappingAPI integration plan
03

Build, Train & Iterate

4–6 WEEKS

We build AI agents, automation flows, and full-stack interfaces with weekly demos. Every iteration is tested against real-world scenarios.

Working AI prototypesWeekly demo sessionsAutomation workflowsFrontend interfaces
04

Test & Validate

1–2 WEEKS

Rigorous AI output testing — hallucination checks, edge case validation, prompt injection resistance, and end-to-end performance benchmarks.

AI accuracy reportsEdge case testingSecurity auditPerformance benchmarks
05

Deploy & Optimize

ONGOING

Production deployment with monitoring dashboards, feedback loops, and continuous model/workflow optimization based on real usage data.

Production deploymentMonitoring setupFeedback loopsOngoing optimization
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