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Step 1 of 7 in Sequence

Discovery & Architecture

Estimated Duration: 1 - 2 Weeks

Step 1 establishes the technical blueprint for the AI system. We audit client data sources, define latency and throughput SLAs, evaluate security boundaries, and select model frameworks prior to any code implementation.

Operational Deep-Dive

What Happens During Step 1

Engineering leads conduct technical workshops to audit data schemas, security compliance requirements (HIPAA, SOC 2, GDPR), target VRAM memory budgets, and API cost constraints. We produce a comprehensive architecture design document.

Why Sequence Matters:

Executing discovery first prevents architecting solutions on incompatible data schemas or incurring massive cloud cost overruns during production load spikes.

Requirements & Artifacts

Client Inputs vs. Delivered Artifacts

What We Need From You (Inputs)
  • Access to sample data schemas and document formats.
  • Performance targets (target p95 latency, expected QPS).
  • Security policies (zero data retention requirements, VPC constraints).
  • Designated technical stakeholder for weekly sign-offs.
What You Receive (Deliverables)
  • Complete AI System Architecture Specification Document.
  • Data Pipeline & Schema Blueprint.
  • Fixed-Scope SOW with Milestones and Pricing.
  • Risk Mitigation Matrix for LLM Hallucinations.
Next Phase in Sequence

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