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The Blueprint

An expert, end-to-end AI strategy package that turns your business objective into a bullet-proof technical roadmap—before you spend a dollar on code.

What you’ll walk away with

Deep-dive frameworks inspired by Google Cloud’s AI transformation playbooks. Read more on AI strategy canvas and drug-discovery case-study.

Strategy & Prioritisation

  • AI opportunity matrix ranked by ROI, risk & data readiness.
  • Regulatory & ethics gap analysis (only where relevant):
    • HIPAA for clinical data
    • PCI-DSS for payment data
    • GDPR for EU personal data
  • TAM / SAM sizing & pay-back model for board or investor decks.

Technical Architecture

  • Component diagram (data, models, APIs, infra, security).
  • Vendor-neutral stack selection with trade-off matrix (latency vs. cost vs. privacy).
  • Cost model: cloud GPU, licence, people, maintenance, drift-retraining.

Implementation Plan

  • Phase-gate roadmap: PoC → Pilot → Production with exit criteria.
  • Milestones, success KPIs, team shape & hiring plan.
  • Risk register + mitigation play-book (data drift, regulatory change, vendor lock-in).

Data & Governance

  • Data-quality scorecard & lineage map.
  • Bias / fairness baseline and monitoring hooks.
  • Model governance lifecycle (versioning, audit trail, rollback).

Cost & ROI Engineering

  • Token-level cost projection and quota guardrails.
  • GPU vs. CPU vs. serverless break-even analysis.
  • Sensitivity analysis (usage ±50 %) and pay-back horizon.

Trusted by teams who cannot afford to get AI wrong

“Arash helped us map a production-grade LLM pipeline in two weeks—something our internal team estimated would take three months just to scope.”
— CTO, Series-B Health-Tech

Ready to de-risk your AI investment?

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