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Core Advisory Practice

Data & AI Strategy

Aligning business decisions, executive ROI, target operating models, and organizational design before technology investments.

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Tangible Advisory Deliverables

Actionable frameworks and engineering specifications, not theoretical slide decks.

01

Enterprise AI Opportunity Matrix

Comprehensive evaluation of 50+ business use cases scored against financial upside, feasibility, and time-to-value.

02

3-Year Strategic AI & Data Roadmap

Chronological execution plan detailing technical dependencies, team hiring, cloud milestones, and quarterly ROI.

03

Target Operating Model (TOM)

Design of centralized vs. decentralized data teams, hub-and-spoke delivery models, and executive stewardship committees.

04

Business Case & Total Cost of Ownership (TCO)

Rigorous CapEx and OpEx models covering GPU compute, cloud storage, vendor licenses, and internal resource allocation.

Measurable Business Impact

35% - 50%
Faster Use-Case Time-to-Market
2x - 4x
Measurable ROI on AI Capital Expenditure
100%
Executive Alignment Across Business & IT
0
Wasted Vendor Licenses on Shelfware

Structured Engagement Blueprint

Phase 01

Executive Discovery & Audit

Current state assessment of architecture, team velocity, data pipelines, and business friction.

Phase 02

Target Blueprint & Trade-offs

Design of future-state architecture, build vs. buy evaluations, and vendor RFP reviews.

Phase 03

Operating Model & Roadmap

Establishing governance cadence, cross-functional data contracts, and quarterly milestones.

Phase 04

Supervision & ROI Realization

Advisory oversight of engineering execution, steering committee reviews, and metric tracking.

Discuss Your Architecture or Strategy

Schedule a confidential executive sparring session with Tri Truong to evaluate trade-offs.

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