AI Strategy & Architecture Review
A structured, 4-week engagement for organizations that want to adopt AI with clarity: the right use cases, the right architecture, and a roadmap that reduces wasted spend.
What this is
This is not a generic “AI consulting” offering. It is a senior-level strategy and architecture review: a clear blueprint you can execute with internal teams or vendors.
- Prioritized use cases tied to measurable business outcomes
- Architecture decisions: build vs buy, data readiness, integration paths
- Vendor selection guidance and evaluation criteria
- Implementation roadmap, risks, and governance recommendations
Request a conversation
If you’re evaluating AI adoption for a real workflow (customer service, ops, finance, analytics, engineering), request an intro call. We’ll confirm fit, scope, and timeline.
Who this is for
Founders, operators, and teams who want to integrate AI responsibly and effectively—without burning time on the wrong tools or building brittle systems. Best fit: organizations that already have clear workflows and data sources, but need a coherent plan.
Deliverables
You receive a formal package you can use internally, with vendors, or with stakeholders. It’s designed to reduce decision ambiguity and prevent wasted spend.
4-week structure
Structured cadence with lightweight touchpoints. You get clarity quickly without dragging the organization through a long engagement.
Discovery & problem framing
Workflows, constraints, data sources, success metrics, and stakeholder alignment.
Use case prioritization & architecture options
Build vs buy decisioning, integration approach, data readiness, and feasibility scoring.
Vendor evaluation & risk controls
Selection criteria, proof-points, security/privacy review, governance and operational risk.
Roadmap delivery & executive briefing
Final roadmap + deliverables, implementation sequencing, and stakeholder readout.
Request a conversation
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